serial_no int64 1 24.2k | cuda_source stringlengths 11 9.01M |
|---|---|
9,801 | // input: radius (1), nsample (1), xyz1 (b,n,3), xyz2 (b,m,3)
// output: idx (b,m,nsample), pts_cnt (b,m)
__global__ void query_ball_point_gpu(int b, int n, int m, float radius,
int nsample, const float *xyz1,
const float *xyz2, int *idx,
int *pts_cnt) {
int batch_index = blockIdx.x;
xyz1 += n * 3 * batch_index;
xyz2 += m * 3 * batch_index;
idx += m * nsample * batch_index;
pts_cnt += m * batch_index; // counting how many unique points selected in
// local region
int index = threadIdx.x;
int stride = blockDim.x;
for (int j = index; j < m; j += stride) {
int cnt = 0;
for (int k = 0; k < n; ++k) {
if (cnt == nsample)
break; // only pick the FIRST nsample points in the ball
float x2 = xyz2[j * 3 + 0];
float y2 = xyz2[j * 3 + 1];
float z2 = xyz2[j * 3 + 2];
float x1 = xyz1[k * 3 + 0];
float y1 = xyz1[k * 3 + 1];
float z1 = xyz1[k * 3 + 2];
float d = max(sqrtf((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1) +
(z2 - z1) * (z2 - z1)),
1e-20f);
if (d < radius) {
if (cnt == 0) { // set ALL indices to k, s.t. if there are less
// points in ball than nsample, we still have
// valid (repeating) indices
for (int l = 0; l < nsample; ++l) idx[j * nsample + l] = k;
}
idx[j * nsample + cnt] = k;
cnt += 1;
}
}
pts_cnt[j] = cnt;
}
}
// input: points (b,n,c), idx (b,m,nsample)
// output: out (b,m,nsample,c)
__global__ void group_point_gpu(int b, int n, int c, int m, int nsample,
const float *points, const int *idx,
float *out) {
int batch_index = blockIdx.x;
points += n * c * batch_index;
idx += m * nsample * batch_index;
out += m * nsample * c * batch_index;
int index = threadIdx.x;
int stride = blockDim.x;
for (int j = index; j < m; j += stride) {
for (int k = 0; k < nsample; ++k) {
int ii = idx[j * nsample + k];
for (int l = 0; l < c; ++l) {
out[j * nsample * c + k * c + l] = points[ii * c + l];
}
}
}
}
// input: grad_out (b,m,nsample,c), idx (b,m,nsample),
// output: grad_points (b,n,c)
__global__ void group_point_grad_gpu(int b, int n, int c, int m, int nsample,
const float *grad_out, const int *idx,
float *grad_points) {
int batch_index = blockIdx.x;
idx += m * nsample * batch_index;
grad_out += m * nsample * c * batch_index;
grad_points += n * c * batch_index;
int index = threadIdx.x;
int stride = blockDim.x;
for (int j = index; j < m; j += stride) {
for (int k = 0; k < nsample; ++k) {
int ii = idx[j * nsample + k];
for (int l = 0; l < c; ++l) {
atomicAdd(&grad_points[ii * c + l],
grad_out[j * nsample * c + k * c + l]);
}
}
}
}
// input: k (1), distance matrix dist (b,m,n)
// output: idx (b,m,n), dist_out (b,m,n)
// only the top k results within n are useful
__global__ void selection_sort_gpu(int b, int n, int m, int k,
const float *dist, int *outi, float *out) {
int batch_index = blockIdx.x;
dist += m * n * batch_index;
outi += m * n * batch_index;
out += m * n * batch_index;
int index = threadIdx.x;
int stride = blockDim.x;
// copy from dist to dist_out
for (int j = index; j < m; j += stride) {
for (int s = 0; s < n; ++s) {
out[j * n + s] = dist[j * n + s];
outi[j * n + s] = s;
}
}
float *p_dist;
for (int j = index; j < m; j += stride) {
p_dist = out + j * n;
// selection sort for the first k elements
for (int s = 0; s < k; ++s) {
int min = s;
// find the min
for (int t = s + 1; t < n; ++t) {
if (p_dist[t] < p_dist[min]) {
min = t;
}
}
// swap min-th and i-th element
if (min != s) {
float tmp = p_dist[min];
p_dist[min] = p_dist[s];
p_dist[s] = tmp;
int tmpi = outi[j * n + min];
outi[j * n + min] = outi[j * n + s];
outi[j * n + s] = tmpi;
}
}
}
}
void queryBallPointLauncher(int b, int n, int m, float radius, int nsample,
const float *xyz1, const float *xyz2, int *idx,
int *pts_cnt) {
query_ball_point_gpu<<<b, 256>>>(b, n, m, radius, nsample, xyz1, xyz2, idx,
pts_cnt);
// cudaDeviceSynchronize();
}
void selectionSortLauncher(int b, int n, int m, int k, const float *dist,
int *outi, float *out) {
selection_sort_gpu<<<b, 256>>>(b, n, m, k, dist, outi, out);
// cudaDeviceSynchronize();
}
void groupPointLauncher(int b, int n, int c, int m, int nsample,
const float *points, const int *idx, float *out) {
group_point_gpu<<<b, 256>>>(b, n, c, m, nsample, points, idx, out);
// cudaDeviceSynchronize();
}
void groupPointGradLauncher(int b, int n, int c, int m, int nsample,
const float *grad_out, const int *idx,
float *grad_points) {
group_point_grad_gpu<<<b, 256>>>(b, n, c, m, nsample, grad_out, idx,
grad_points);
// group_point_grad_gpu<<<1,1>>>(b,n,c,m,nsample,grad_out,idx,grad_points);
// cudaDeviceSynchronize();
}
|
9,802 | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void mulRow(int *a , int *b , int *c , int wb , int cm)
{
int id = threadIdx.x;
int sum = 0;
int i = 0;
int j = 0;
for(i = 0;i<wb;i++)
{
sum = 0;
for(j=0;j<cm;j++)
sum += a[id*cm+j]*b[wb*j+i];
c[id*wb+i] = sum;
}
}
__global__ void mulCol(int *a , int *b ,int *c,int ha , int wa , int wb)
{
int id = threadIdx.x;
int sum ,j,i;
for(i = 0;i<ha;i++)
{
sum = 0;
for(j = 0;j<wa;j++)
{
sum += a[i*wa+j]*b[j*wb+id];
}
c[i*wb+id] = sum;
}
}
__global__ void mulElement(int *a ,int *b , int *c,int wa , int wb)
{
int rid = threadIdx.x;
int cid = threadIdx.y;
printf("rid = %d , cid = %d \n",rid,cid);
int sum , i;
sum = 0;
for(i = 0;i<wa;i++)
{
sum += a[rid*wa+i]*b[i*wb+cid];
}
c[rid*wb+cid] = sum;
}
int main(void)
{
int *a,*b,*t,i,j;
int *d_a,*d_b,*d_t;
int ha , wa;
int hb , wb;
printf("Enter the dimensions of first matrix \n ");
scanf("%d %d",&ha,&wa);
printf("Enter the dimensions of second matrix \n");
scanf("%d %d",&hb,&wb);
int size1 = sizeof(int)*ha*wa;
int size2 = sizeof(int)*hb*wb;
int size3 = sizeof(int)*ha*wb;
a = (int*)malloc(ha*wa*sizeof(int));
b = (int*)malloc(hb*wb*sizeof(int));
t = (int*)malloc(ha*wb*sizeof(int));
printf("Enter input matrix 1 : \n");
for(i = 0;i<ha*wa;i++)
scanf("%d",&a[i]);
printf("Enter input matrix 2 : \n");
for(i = 0;i<hb*wb;i++)
scanf("%d",&b[i]);
cudaMalloc((void**)&d_a,size1);
cudaMalloc((void**)&d_b,size2);
cudaMalloc((void**)&d_t,size3);
cudaMemcpy(d_a,a,size1,cudaMemcpyHostToDevice);
cudaMemcpy(d_b,b,size2,cudaMemcpyHostToDevice);
printf("Enter 1 for Row \n 2 for Column \n 3 for Element \n");
int ch;
scanf("%d",&ch);
if(ch == 1)
{
dim3 block(wb,1);
dim3 grid(1,1);
mulRow<<<grid,block>>>(d_a,d_b,d_t,wb,wa);
}
if(ch == 2)
{
dim3 block(ha,1);
dim3 grid(1,1);
mulCol<<<grid,block>>>(d_a,d_b,d_t,ha,wa,wb);
}
if(ch == 3)
{
dim3 block(ha,wb);
dim3 grid(1,1);
mulElement<<<grid,block>>>(d_a,d_b,d_t,wa,wb);
}
cudaMemcpy(t,d_t,size3,cudaMemcpyDeviceToHost);
printf("Result vector is :\n");
for(i = 0;i<ha;i++)
{
for(j = 0;j<wb;j++)
printf("%d ",t[i*wb+j]);
printf("\n");
}
getchar();
cudaFree(d_a);
cudaFree(d_t);
return 0;
}
|
9,803 | #include "includes.h"
__global__ void BlockPrefix(int *a, int k, int n) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
for(int j = i * k + 1; j < i * k + k && j < n; ++j) {
a[j] += a[j - 1];
}
} |
9,804 | __global__ void vecAdd( int *C, int *B, int *A, int N=1024)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
|
9,805 | #include<stdio.h>
#include<stdlib.h>
#include<unistd.h>
#include<stdbool.h>
#include<cuda.h>
#include<cuda_runtime.h>
// Result from last compute of world.
unsigned char *g_resultData=NULL;
// Current state of world.
unsigned char *g_data=NULL;
// Current width of world.
size_t g_worldWidth=0;
/// Current height of world.
size_t g_worldHeight=0;
/// Current data length (product of width and height)
size_t g_dataLength=0; // g_worldWidth * g_worldHeight
static inline void gol_initAllZeros( size_t worldWidth, size_t worldHeight )
{
int i;
g_worldWidth = worldWidth;
g_worldHeight = worldHeight;
g_dataLength = g_worldWidth * g_worldHeight;
cudaMallocManaged( &g_data, (g_dataLength * sizeof(unsigned char)));
cudaMallocManaged( &g_resultData, (g_dataLength * sizeof(unsigned char)));
// set all rows of world to zero
for( i = 0; i < g_dataLength; i++)
{
g_data[i] = 0;
g_resultData[i] = 0;
}
}
static inline void gol_initAllOnes( size_t worldWidth, size_t worldHeight )
{
size_t i;
g_worldWidth = worldWidth;
g_worldHeight = worldHeight;
g_dataLength = g_worldWidth * g_worldHeight;
cudaMallocManaged( &g_data, (g_dataLength * sizeof(unsigned char)));
cudaMallocManaged( &g_resultData, (g_dataLength * sizeof(unsigned char)));
// set all rows of world to true
for( i = 0; i < g_dataLength; i++)
{
g_data[i] = 1;
g_resultData[i] = 1;
}
}
static inline void gol_initOnesInMiddle( size_t worldWidth, size_t worldHeight )
{
size_t i;
g_worldWidth = worldWidth;
g_worldHeight = worldHeight;
g_dataLength = g_worldWidth * g_worldHeight;
cudaMallocManaged( &g_data, (g_dataLength * sizeof(unsigned char)));
cudaMallocManaged( &g_resultData, (g_dataLength * sizeof(unsigned char)));
// set first 1 rows of world to true
for( i = 10*g_worldWidth; i < 11*g_worldWidth; i++)
{
if( (i >= ( 10*g_worldWidth + 10)) && (i < (10*g_worldWidth + 20)))
{
g_data[i] = 1;
g_resultData[i] = 1;
}
else
{
g_data[i] = 0;
g_resultData[i] = 0;
}
}
}
static inline void gol_initOnesAtCorners( size_t worldWidth, size_t worldHeight )
{
size_t i;
g_worldWidth = worldWidth;
g_worldHeight = worldHeight;
g_dataLength = g_worldWidth * g_worldHeight;
cudaMallocManaged( &g_data, (g_dataLength * sizeof(unsigned char)));
cudaMallocManaged( &g_resultData, (g_dataLength * sizeof(unsigned char)));
// set all rows of world to zero
for( i = 0; i < g_dataLength; i++)
{
g_data[i] = 0;
g_resultData[i] = 0;
}
g_data[0] = 1; // upper left
g_data[worldWidth-1]=1; // upper right
g_data[(worldHeight * (worldWidth-1))]=1; // lower left
g_data[(worldHeight * (worldWidth-1)) + worldWidth-1]=1; // lower right
g_resultData[0] = 1; // upper left
g_resultData[worldWidth-1]=1; // upper right
g_resultData[(worldHeight * (worldWidth-1))]=1; // lower left
g_resultData[(worldHeight * (worldWidth-1)) + worldWidth-1]=1; // lower right
}
static inline void gol_initSpinnerAtCorner( size_t worldWidth, size_t worldHeight )
{
size_t i;
g_worldWidth = worldWidth;
g_worldHeight = worldHeight;
g_dataLength = g_worldWidth * g_worldHeight;
cudaMallocManaged( &g_data, (g_dataLength * sizeof(unsigned char)));
cudaMallocManaged( &g_resultData, (g_dataLength * sizeof(unsigned char)));
// set all rows of world to zero
for( i = 0; i < g_dataLength; i++)
{
g_data[i] = 0;
g_resultData[i] = 0;
}
g_data[0] = 1; // upper left
g_data[1] = 1; // upper left +1
g_data[worldWidth-1]=1; // upper right
g_resultData[0] = 1; // upper left
g_resultData[1] = 1; // upper left +1
g_resultData[worldWidth-1]=1; // upper right
}
static inline void gol_initMaster( unsigned int pattern, size_t worldWidth, size_t worldHeight )
{
switch(pattern)
{
case 0:
gol_initAllZeros( worldWidth, worldHeight );
break;
case 1:
gol_initAllOnes( worldWidth, worldHeight );
break;
case 2:
gol_initOnesInMiddle( worldWidth, worldHeight );
break;
case 3:
gol_initOnesAtCorners( worldWidth, worldHeight );
break;
case 4:
gol_initSpinnerAtCorner( worldWidth, worldHeight );
break;
default:
printf("Pattern %u has not been implemented \n", pattern);
exit(-1);
}
}
static inline void gol_swap( unsigned char **pA, unsigned char **pB)
{
// Swap the pointers of pA and pB.
unsigned char *temp = *pA;
*pA = *pB;
*pB = temp;
}
__device__ unsigned int gol_countAliveCells(unsigned char* data,
size_t x0,
size_t x1,
size_t x2,
size_t y0,
size_t y1,
size_t y2)
{
// You write this function - it should return the number of alive cell for data[x1+y1]
// There are 8 neighbors - see the assignment description for more details.
int aliveCell = 0;
// up left
aliveCell += data[x0 + y0];
// up
aliveCell += data[x1 + y0];
// up right
aliveCell += data[x2 + y0];
// left
aliveCell += data[x0 + y1];
// buttom left
aliveCell += data[x0 + y2];
// buttom
aliveCell += data[x1 + y2];
// buttom right
aliveCell += data[x2 + y2];
// right
aliveCell += data[x2 + y1];
return aliveCell;
}
// Don't modify this function or your submitty autograding may incorrectly grade otherwise correct solutions.
static inline void gol_printWorld()
{
int i, j;
for( i = 0; i < g_worldHeight; i++)
{
printf("Row %2d: ", i);
for( j = 0; j < g_worldWidth; j++)
{
printf("%u ", (unsigned int)g_data[(i*g_worldWidth) + j]);
}
printf("\n");
}
printf("\n\n");
}
// This function is added to compute the state of current cell given alive neighbors number
__device__ unsigned int gol_computeState(unsigned int aliveCell, unsigned char currentState)
{
switch(currentState)
{
case 0:
// Any dead cell with exactly three live neighbors becomes a live cell, as if by reproduction
if (aliveCell == 3)
return 1;
else
return 0;
break;
case 1:
//Any live cell with fewer than two live neighbors dies, as if caused by under-population.
if (aliveCell < 2)
return 0;
//Any live cell with two or three live neighbors lives on to the next generation.
if (aliveCell <= 3)
return 1;
//Any live cell with more than three live neighbors dies, as if by over-population.
else
return 0;
break;
default:
printf("Cell state %u is not 0 or 1 \n", currentState);
return 0;
}
}
// CUDA kernel function to compute the whole world for one step
__global__ void gol_kernel( unsigned char* d_data,
unsigned int worldWidth,
unsigned int worldHeight,
unsigned char* d_resultData)
{
size_t x, y, i;
size_t y0, y1, y2;
size_t x0, x2;
unsigned int aliveCells;
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
int worldSize = worldHeight * worldWidth;
for(i = index; i < worldSize; i+=stride)
{
x = i % worldWidth;
y = i / worldWidth;
x0 = (x + worldWidth - 1) % worldWidth;
x2 = (x + 1) % worldWidth;
y0 = ((y + worldHeight - 1) % worldHeight) * worldWidth;
y1 = y * worldWidth;
y2 = ((y + 1) % worldHeight) * worldWidth;
aliveCells = gol_countAliveCells(d_data, x0, x, x2, y0, y1, y2);
d_resultData[y1 + x] = gol_computeState(aliveCells, d_data[y1 + x]);
}
}
// This function computes the world via a CUDA kernel
bool gol_kernelLaunch( unsigned char** d_data,
unsigned char** d_resultData,
size_t worldWidth,
size_t worldHeight,
size_t iterationsCount,
ushort threadsCount)
{
int i;
for(i = 0; i<iterationsCount; ++i)
{
gol_kernel<<<1, threadsCount>>>(*d_data, worldWidth, worldHeight, *d_resultData);
gol_swap(d_data, d_resultData);
}
cudaDeviceSynchronize();
return 1;
}
int main(int argc, char *argv[])
{
unsigned int pattern = 0;
unsigned int worldSize = 0;
unsigned int itterations = 0;
unsigned int threadPerBlock = 0;
unsigned int outputOn = 0;
printf("This is the Game of Life running in parallel on a GPU.\n");
if( argc != 6 )
{
printf("CUDA GOL requires 5 arguments: pattern number, sq size of the world and the number of itterations, "
"threads per block and output-on/off e.g. ./gol 4 64 2 2 0\n");
exit(-1);
}
pattern = atoi(argv[1]);
worldSize = atoi(argv[2]);
itterations = atoi(argv[3]);
threadPerBlock = atoi(argv[4]);
outputOn = atoi(argv[5]);
gol_initMaster(pattern, worldSize, worldSize);
// gol_iterateSerial( itterations );
gol_kernelLaunch(&g_data, &g_resultData, worldSize, worldSize, itterations, threadPerBlock);
if (outputOn>0)
{
printf("######################### FINAL WORLD IS ###############################\n");
gol_printWorld();
}
cudaFree(g_data);
cudaFree(g_resultData);
return 0;
} |
9,806 | #include <stdio.h>
#include <math.h>
__global__ void add(int n, float* x, float* y) {
int tid = threadIdx.x + blockIdx.x * blockDim.x;
int pulo = gridDim.x * blockDim.x;
for(int i=tid;i < n; i += pulo) {
y[i] = x[i] + y[i];
}
}
int main() {
int n = 1 << 25;
float *x,*y;
cudaMallocManaged(&x, n*sizeof(float));
cudaMallocManaged(&y, n*sizeof(float));
for(int i=0;i<n;i++) {
x[i] = 1.0f;
y[i] = 2.0f;
}
int block_size = 128;
int num_blocks = 4096;
add<<<num_blocks, block_size>>>(n,x,y);
cudaDeviceSynchronize();
float error = 0.0f;
for(int i=0;i<n;i++) {
error = fmax(error, fabs(y[i]-3.0f));
}
printf("Max error: %f\n", error);
cudaFree(x);
cudaFree(y);
return 0;
}
|
9,807 | //STL
#include <iostream>
#include <vector>
#include <thread>
#include <time.h>
using namespace std;
////////////////////////////////////////// HOST //////////////////////////////////////////////////////
int N = 20000; //GPU calculations are effective for N > 8k
vector < vector < float > > firstMatrix( N );
vector < vector < float > > secondVectorMatrix( N );
vector < vector < float > > resultsHostMatrix( N );
vector < vector< float > > resultsGPUMatrix( N );
vector < float > firstVector( N, 3.14 );
vector < float > secondVector( N, 2.72 );
vector < float > resultsHost( N );
vector < float > wynikGPU( N, 0 );
////////////////////////////////////////// GPU ////////////////////////////////////////////////////////
float *dev_a1 = 0; float *dev_b1 = 0; float *dev_c1 = 0;
int typeSize = N * sizeof( float );
__global__ void add( float *a, float *b, float *c, int N ) //GPU
{
int tid = threadIdx.x + blockIdx.x * blockDim.x;
while ( tid < N )
{
c[ tid ] = a[ tid ] + b[ tid ];
tid += blockDim.x * gridDim.x;
}
}
void memInit()
{
//GPU memory allocation
cudaMalloc( ( void** )&dev_a1, typeSize );
cudaMalloc( ( void** )&dev_b1, typeSize );
cudaMalloc( ( void** )&dev_c1, typeSize );
}
void memFree()
{
//free GPU objects
cudaFree( dev_a1 );
cudaFree( dev_b1 );
cudaFree( dev_c1 );
}
void addMatrixKernel( void *iter )
{
if ( *( int * )iter < N )
{
const int nThreads = 1024;
//copy / download data in direction HostToDevice
cudaMemcpyAsync( dev_a1, &firstMatrix[ *( int * ) iter ][ 0 ], typeSize, cudaMemcpyHostToDevice );
cudaMemcpyAsync( dev_b1, &secondVectorMatrix[ *( int * ) iter ][ 0 ], typeSize, cudaMemcpyHostToDevice );
//calculate vectors sum, using max. number of possible 1D Threads per Block
add<<< ( N + nThreads - 1 ) / nThreads, nThreads >>> ( dev_a1, dev_b1, dev_c1, N );
//copy / upload results data c[] in direction DeviceToHost
cudaMemcpyAsync( &resultsGPUMatrix[ *( int * ) iter ][ 0 ], dev_c1, typeSize, cudaMemcpyDeviceToHost );
}
}
////////////////////////////////////////// MAIN ///////////////////////////////////////////////////////
int main ()
{
for ( int i = 0; i < N; i++ ) //basic data processing on Host CPU
{
firstMatrix[ i ] = firstVector;
secondVectorMatrix[ i ] = secondVector;
resultsGPUMatrix[ i ] = wynikGPU;
resultsHostMatrix[ i ] = resultsHost;
}
clock_t t;
t = clock();
for ( int j = 0; j < N; j++ )
for ( int i = 0; i < N; i++ )
resultsHostMatrix[ j ][ i ] = firstMatrix[ j ][ i ] + secondVectorMatrix[ j ][ i ];
cout << "sequential CPU calculations Host time: " << ((float)(clock() - t))/CLOCKS_PER_SEC << "[s] ( g++ )" << endl;
t = clock();
memInit();
vector < thread > gpuAsync3( N );
for ( int i = 0; i < N; i++ )
{
int *iPtr = &( i );
gpuAsync3[ i ] = thread( addMatrixKernel, iPtr );
gpuAsync3[ i ].join();
}
memFree();
cout << "Async (single join() + trivial Optimalization) vec<vec<>> GPU time: " << ((float)(clock() - t))/CLOCKS_PER_SEC << "[s]" << endl;
t = clock();
for ( int i = 0; i < 2; i++ )
{
cout << "resultsHostMatrix[ " << i << " ][ 0 ]: " << resultsHostMatrix[ i ][ 0 ] << endl;
cout << "resultsGPUMatrix[ " << i << " ][ 0 ]: " << resultsGPUMatrix[ i ][ 0 ] << endl;
}
cudaDeviceReset();
return 0;
}
|
9,808 | // Adds the elements of 2 arrays with
// a million elements each.
#include <iostream>
#include <math.h>
//kernel
__global__ void add(int n, float *x, float *y) {
int index = threadIdx.x + blockDim.x * blockIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < n; i += stride)
y[i] = x[i] + y[i];
}
int main(void) {
int N = 1 << 20; // = 1M elements;
/* --- CPU Version ----
float *x = new float[N];
float *y = new float[N];
//init x and y arrays on the host
for (int i = 0; i < N; i++) {
x[i] = 1.0f;
y[i] = 2.0f;
}
// run add() on CPU (HOST)
add(N, x, y);
//Check for errors, == 3.0f?
float maxError = 0.0f;
for(int i = 0; i < N; i++) {
maxError = fmax(maxError, fabs(y[i] - 3.0f));
}
std::cout << "MAX Error: " << maxError << std::endl;
// free mem
delete [] x;
delete [] y;
return 0;
*/
// Allocate Unified Memory -- accessible from CPU or GPU
float *x, *y;
cudaMallocManaged(&x, N*sizeof(float));
cudaMallocManaged(&y, N*sizeof(float));
// init x and y on the host
for (int i = 0; i < N; i++) {
x[i] = 1.0f;
y[i] = 2.0f;
}
int blockSize = 256;
int numBlocks = (N + blockSize - 1) / blockSize;
add<<<numBlocks,blockSize>>>(N, x, y);
//wait for GPU
cudaDeviceSynchronize();
// Check for errors (all values should be 3.0f)
float maxError = 0.0f;
for (int i = 0; i < N; i++)
maxError = fmax(maxError, fabs(y[i] - 3.0f));
std::cout << "Max Error: " << maxError << std::endl;
// free Mem
cudaFree(x);
cudaFree(y);
return 0;
// cudaMalloc((void **) &da, size);
// cudaMalloc((void **) &db, size);
// cudaMalloc((void **) &dc, size);
// //setup input values
// a = 2;
// b = 7;
// cudaMemcpy(da, &a, size, cudaMemcpyHostToDevice);
// cudaMemcpy(db, &b, size, cudaMemcpyHostToDevice);
// add<<<1, 1>>>(da, db, dc);
// cudaMemcpy(&c, dc, size, cudaMemcpyDeviceToHost);
// printf("Value of c: %d", c);
// cudaFree(da);
// cudaFree(db);
// cudaFree(dc);
// return 0;
}
|
9,809 | #include "includes.h"
__global__ void calculateGaussianKernel(float *gaussKernel, const float sigma, int halfKernelWidth){
/// pixel index of this thread
/// this makes the normal curve
int i = threadIdx.x - halfKernelWidth;
extern __shared__ float s_gaussKernel[];
__shared__ float sum;
/// this kernel must allocate 'kernelWidth' threads
s_gaussKernel[threadIdx.x] = (__fdividef(1,(sqrtf(2*M_PI*sigma))))*expf((-1)*(__fdividef((i*i),(2*sigma*sigma))));
__syncthreads();
/// Thread 0 sum all the gassian kernel array
// This is not so bad because the array is always short
if (!threadIdx.x) {
int th;
sum = 0;
for(th = 0; th<blockDim.x; th++) sum += s_gaussKernel[th];
}
__syncthreads();
gaussKernel[threadIdx.x] = s_gaussKernel[threadIdx.x]/sum;
} |
9,810 | // fermi
/*
* Copyright 2018 Vrije Universiteit Amsterdam, The Netherlands
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
extern "C" {
__global__ void varianceZeroMeanKernel(const int n, float* variance, const float* input);
}
__global__ void varianceZeroMeanKernel(const int n, float* variance, const float* input) {
const int wti = threadIdx.y;
const int tti = threadIdx.x;
const int nrThreads = 1024;
const int nrThreadsNrThreads = min(32, nrThreads);
__shared__ float reduceMem[1024];
const int ti = wti * (1 * nrThreadsNrThreads) + tti;
if (ti < nrThreads) {
if (ti < n) {
float sum = 0.0;
for (int i = ti; i < n; i += nrThreads) {
sum += input[i] * input[i];
}
reduceMem[ti] = sum;
__syncthreads();
for (int i = nrThreads / 2; i > 0; i >>= 1) {
if (ti < i) {
reduceMem[ti] += reduceMem[ti + i];
}
__syncthreads();
}
if (ti == 0) {
*variance = reduceMem[0] * n / (n - 1);
}
}
}
}
|
9,811 | #include <stdio.h>
int host_x[4] = {1, 2, 3, 4};
//__constant__ int dev_x[4];
__global__ void kernel(int *d_var) {
d_var[threadIdx.x] += 10;
float2 f = make_float2(1.f,0.f);
}
__global__ void init(int *d_var) { d_var[threadIdx.x] = threadIdx.x + 1; }
int main()
{
int data_size = 4 * sizeof(int);
int *address;
//cudaMalloc((void**) &dev_x, data_size);
//cudaMemcpyToSymbol(dev_x, host_x, data_size,0, cudaMemcpyHostToDevice);
//cudaGetSymbolAddress((void**)&address, dev_x);
cudaMalloc((void**) &address, data_size);
//cudaMemcpy(address, host_x, data_size, cudaMemcpyHostToDevice);
init<<<1,4>>>(address);
kernel<<<1,4>>>(address);
cudaDeviceSynchronize();
cudaMemcpy(host_x, address, data_size, cudaMemcpyDeviceToHost);
for (int i=0; i< 4; i++){
printf("%d\n", host_x[i]);
}
return 0;
}
|
9,812 | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
__global__ void multMatriz(float *da, float *db, float *dc, int num){
float sum=0;
int j = threadIdx.x + blockIdx.x * blockDim.x;
int i = threadIdx.y + blockIdx.y * blockDim.y;
while(j<num){
while(i<num){
for (unsigned int k = 0; k<num; k++)
sum += da[i * num + k] * db[k * num + j];
dc[i*num + j] = (float) sum;
i += gridDim.y * blockDim.y;
}
j+=gridDim.x * blockDim.x;
i = threadIdx.y + blockIdx.y * blockDim.y;
}
}
|
9,813 | /*
Program to multiply two matrices using the CPU and the GPU.
Benchmarking the timings to compare CPUs sequential execution to the parallel computation
capability of a GPU.
*/
/*
Note that there is a considerable dependency of the ratio of execution times of the CPU and GPU on the
hardware which is being used to execute the run the program.
*/
// Importing the required headers
#include<stdio.h>
#include<cuda.h>
#include<time.h>
// Returns the duration from start to end times in sec
double time_elapsed(struct timespec *start, struct timespec *end)
{
double t;
t = (end->tv_sec - start->tv_sec); // diff in seconds
t += (end->tv_nsec - start->tv_nsec) * 0.000000001; //diff in nanoseconds
return t;
}
// GPU Kernel
__global__ void GPU_MUL(int **a, int **b, int **c, int n)
{
int i = blockIdx.x; //each block operates on one row a/c.
int j = threadIdx.x; //each thread of a block operates on one column of the b/c.
int ans = 0;
for(int k = 0; k < n; k++) //once you know the the row of a and column of b, just multiply.
ans += a[i][k] * b[k][j];
c[i][j] = ans; //store result.
return;
}
/*
// CPU Function
void CPU_MUL(int **a, int **b, int **c, int n)
{
int ans;
for(int i = 0; i < n; i++) //General way of multiplying matrices in c.
{
for(int j = 0; j < n; j++)
{
ans = 0;
for(int k = 0; k < n; k++)
{
ans += a[i][k] * b[k][j];
}
c[i][j] = ans;
}
}
return;
}
*/
// CPU Function
void CPU_MUL(int **a, int **b, int **c, int n)
{
int ans;
for(int i = 0; i < n; i++) //initialise to zero.
{
for(int k = 0; k < n; k++)
{
c[i][k]=0;
}
}
for(int i = 0; i < n; i++) //efficient way of multiplying matrices considering memory and caches.
{
for(int k = 0; k < n; k++)
{
for(int j = 0; j < n; j++)
{
c[i][j] += a[i][k] * b[k][j];
}
}
}
return;
}
// Code execution begins here
int main()
{
struct timespec start1, end1; //variables to store time for GPU
struct timespec start2, end2; //variables to store time for CPU
int n;
printf("Enter the value of n: ");
scanf("%d", &n); //get value of n.
int **a;
int **b;
int **c;
cudaMallocManaged(&a, n*sizeof(int*)); // pointer to allocated shared memory
cudaMallocManaged(&b, n*sizeof(int*)); // pointer to allocated shared memory
cudaMallocManaged(&c, n*sizeof(int*)); // pointer to allocated shared memory
for(int i = 0; i < n; i++)
{
cudaMallocManaged(&(a[i]), n*sizeof(int)); // allocate shared memory
cudaMallocManaged(&(b[i]), n*sizeof(int)); // allocate shared memory
cudaMallocManaged(&(c[i]), n*sizeof(int)); // allocate shared memory
}
for(int i = 0; i < n; i++) // matrix A is the identity and matrix B has only 1's as its entries
for(int j = 0; j < n; j++)
{
if(i == j) a[i][j] = 1;
else a[i][j] = 0;
b[i][j] = 1;
c[i][j] = 0;
}
clock_gettime(CLOCK_REALTIME, &start1); //start timestamp
GPU_MUL<<<n, n>>>(a, b, c, n);
cudaDeviceSynchronize();
clock_gettime(CLOCK_REALTIME, &end1); //end timestamp
printf("\nResult of the GPU is :\n"); //print the result
for(int i = 0; i < n; i++)
{
for(int j = 0; j < n; j++)
{
printf("%d ", c[i][j]);
}
printf("\n");
}
clock_gettime(CLOCK_REALTIME, &start2); //start timestamp
CPU_MUL(a, b, c, n);
clock_gettime(CLOCK_REALTIME, &end2); //end timestamp
printf("\nResult of the CPU is :\n"); //print the result
for(int i = 0; i < n; i++)
{
for(int j = 0; j < n; j++)
{
printf("%d ", c[i][j]);
}
printf("\n");
}
printf("\nTime taken by GPU is: %lf\n", time_elapsed(&start1, &end1)); //print time for GPU
printf("Time taken by CPU is: %lf\n", time_elapsed(&start2, &end2)); //print time for CPU
for(int i = 0; i < n; i++) //free the allocated memory space
{
cudaFree(a[i]);
cudaFree(b[i]);
cudaFree(c[i]);
}
cudaFree(a); //free the pointers to the allocated memory space.
cudaFree(b);
cudaFree(c);
cudaDeviceReset();
return 0;
}
|
9,814 |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <math.h>
#define N 256
__global__ void matrix_vector_multi(float *A_d, float * B_d, float *C_d) {
int i, j;
A_d[threadIdx.x] = 0.0F;
for (i = 0; i < N; i++) {
A_d[threadIdx.x] = A_d[threadIdx.x] + B_d[threadIdx.x*N + i] * C_d[i];
}
}
int main(void) {
int i, j;
float A[N], B[N*N], C[N];
float *A_d, *B_d, *C_d;
dim3 blocks(1, 1, 1);
dim3 threads(256, 1, 1);
for (j = 0; j < N; j++) {
for (i = 0; i < N; i++) {
B[j*N + i] = ((float)j) / 256.0;
}
}
for (j = 0; j < N; j++)
C[j] = 1.0F;
cudaMalloc((void**)& A_d, N * sizeof(float));
cudaMalloc((void**)& B_d, N*N * sizeof(float));
cudaMalloc((void**)& C_d, N * sizeof(float));
cudaMemcpy(B_d, B, N*N * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(C_d, C, N * sizeof(float), cudaMemcpyHostToDevice);
matrix_vector_multi <<< blocks, threads >>> (A_d, B_d, C_d);
cudaMemcpy(A, A_d, N * sizeof(float), cudaMemcpyDeviceToHost);
for (j = 0; j < N; j++) {
printf("A[%d]=%f \n", j, A[j]);
}
printf("N = %d\n", N);
cudaFree(A_d);
cudaFree(B_d);
cudaFree(C_d);
}
/*
N = 256
==8672== Profiling application: .\Debug\chap3_03.exe
==8672== Profiling result:
Time(%) Time Calls Avg Min Max Name
88.48% 369.76us 1 369.76us 369.76us 369.76us matrix_vector_multi(float*, float*, float*)
10.97% 45.825us 2 22.912us 1.1840us 44.641us [CUDA memcpy HtoD]
0.55% 2.3040us 1 2.3040us 2.3040us 2.3040us [CUDA memcpy DtoH]
==8672== API calls:
Time(%) Time Calls Avg Min Max Name
98.14% 120.12ms 3 40.039ms 6.9990us 119.75ms cudaMalloc
0.63% 775.83us 3 258.61us 106.38us 510.92us cudaMemcpy
0.52% 633.40us 91 6.9600us 0ns 279.26us cuDeviceGetAttribute
0.48% 586.86us 3 195.62us 26.945us 304.80us cudaFree
0.16% 198.07us 1 198.07us 198.07us 198.07us cuDeviceGetName
0.05% 55.641us 1 55.641us 55.641us 55.641us cudaLaunch
0.01% 8.3990us 1 8.3990us 8.3990us 8.3990us cudaConfigureCall
0.01% 7.6990us 1 7.6990us 7.6990us 7.6990us cuDeviceTotalMem
0.00% 3.4990us 3 1.1660us 350ns 1.7490us cuDeviceGetCount
0.00% 3.1490us 3 1.0490us 700ns 1.7490us cuDeviceGet
0.00% 2.1000us 3 700ns 350ns 1.0500us cudaSetupArgument
*/ |
9,815 | #include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <thrust/adjacent_difference.h>
#include <thrust/binary_search.h>
#include <thrust/device_free.h>
#include <thrust/device_malloc.h>
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include <thrust/transform.h>
#define NUM_BINS 32
struct saturate_to_127
{
typedef int argument_type;
typedef int result_type;
__host__ __device__ int operator()(const int &x) const
{
if (x > 127)
{
return 127;
}
else
{
return x;
}
}
};
int *get_data_from_file(FILE *file, int n)
{
int i;
int *data;
data = (int *)malloc(n * sizeof(int));
for (i = 0; i < n; i++)
{
fscanf(file, "%d", &data[i]);
}
return data;
}
int main(int argc, char *argv[])
{
bool input_check = false;
bool expected_check = false;
bool output_check = false;
bool error_present = false;
bool expect_output = false;
bool output_pass;
char input_file_name[256];
char expected_file_name[256];
char output_file_name[256];
FILE *input_file = NULL;
FILE *expected_file = NULL;
FILE *output_file = NULL;
int *h_array_in = NULL;
int *h_array_out = NULL;
int *expectedOutput = NULL;
int i, n, num_bins, dataset_no;
for (i = 1; i < argc; i++)
{
if (strcmp(argv[i], "-i") == 0 && argc > i + 1)
{
if (argv[i + 1][0] != '-')
{
input_check = true;
strcpy(input_file_name, argv[i + 1]);
}
}
if (strcmp(argv[i], "-e") == 0 && argc > i + 1)
{
if (argv[i + 1][0] != '-')
{
expected_check = true;
strcpy(expected_file_name, argv[i + 1]);
}
}
if (strcmp(argv[i], "-o") == 0)
{
expect_output = true;
if (argc > i + 1)
{
if (argv[i + 1][0] != '-')
{
output_check = true;
strcpy(output_file_name, argv[i + 1]);
}
}
}
}
if (!input_check)
{
std::cout << "Execution command syntax error: \"Input\" filename required" << std::endl;
error_present = true;
}
else
{
input_file = fopen(input_file_name, "r");
if (!input_file)
{
std::cout << "Error: File " << input_file_name << " does not exist" << std::endl;
error_present = true;
}
}
if (!expected_check)
{
std::cout << "Execution command syntax error: \"Expected Output\" filename required" << std::endl;
error_present = true;
}
else
{
expected_file = fopen(expected_file_name, "r");
if (!expected_file)
{
std::cout << "Error: File " << expected_file_name << " does not exist" << std::endl;
error_present = true;
}
}
if (!output_check && expect_output)
{
std::cout << "Execution Command Syntax Warning: \"Output\" filename expected" << std::endl;
}
else if (output_check)
{
output_file = fopen(output_file_name, "w");
}
if (error_present)
{
std::cout << "Use the following command to run the program:\n\n"
"./<program> -e <expected> -i <input> -o <output>\n\n"
"Where <expected> is the expected output file, <input> is the input dataset files, and <output> is an optional path to store the results"
<< std::endl;
}
else
{
dataset_no = 0;
while (true)
{
if (fscanf(input_file, "%d", &n) == -1)
{
break;
}
h_array_in = get_data_from_file(input_file, n);
if (fscanf(expected_file, "%d", &num_bins) == -1)
{
break;
}
expectedOutput = get_data_from_file(expected_file, num_bins);
thrust::device_ptr<int> d_array_in = thrust::device_malloc<int>(n);
thrust::device_ptr<int> d_array_out = thrust::device_malloc<int>(NUM_BINS);
thrust::copy(h_array_in, h_array_in + n, d_array_in);
thrust::sort(d_array_in, d_array_in + n);
thrust::upper_bound(d_array_in, d_array_in + n, thrust::make_counting_iterator(0), thrust::make_counting_iterator(NUM_BINS), d_array_out);
thrust::adjacent_difference(d_array_out, d_array_out + NUM_BINS, d_array_out);
thrust::transform(d_array_out, d_array_out + NUM_BINS, d_array_out, saturate_to_127());
h_array_out = (int *)malloc(NUM_BINS * sizeof(int));
thrust::copy(d_array_out, d_array_out + NUM_BINS, h_array_out);
if (output_check)
{
fprintf(output_file, "%d", NUM_BINS);
for (i = 0; i < NUM_BINS; i++)
{
fprintf(output_file, "\n%d", h_array_out[i]);
}
fprintf(output_file, "\n");
fflush(output_file);
}
output_pass = true;
for (i = 0; i < NUM_BINS; i++)
{
if (expectedOutput[i] != h_array_out[i])
{
output_pass = false;
}
}
if (output_pass)
{
std::cout << "Dataset " << dataset_no << " PASSED" << std::endl;
}
else
{
std::cout << "Dataset " << dataset_no << " FAILED" << std::endl;
}
dataset_no++;
thrust::device_free(d_array_in);
thrust::device_free(d_array_out);
free(h_array_in);
free(h_array_out);
free(expectedOutput);
}
if (output_check)
{
std::cout << "Results stored in " << output_file_name << std::endl;
}
fclose(input_file);
fclose(expected_file);
if (output_check)
{
fclose(output_file);
}
}
return 0;
}
|
9,816 | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use, reproduction, disclosure, or distribution of this software
* and related documentation without an express license agreement from
* NVIDIA Corporation is strictly prohibited.
*
* Please refer to the applicable NVIDIA end user license agreement (EULA)
* associated with this source code for terms and conditions that govern
* your use of this NVIDIA software.
*
*/
/* Matrix multiplication: C = A * B.
* Device code.
*/
#include <stdio.h>
////////////////////////////////////////////////////////////////////////////////
//! Matrix multiplication on the device: C = A * B
//! wA is A's width and wB is B's width
////////////////////////////////////////////////////////////////////////////////
__global__ void matrixMultiplicationKernel(float* A, float* B, float* C, int N) {
int ROW = blockIdx.y*blockDim.y+threadIdx.y;
int COL = blockIdx.x*blockDim.x+threadIdx.x;
float tmpSum = 0;
if (ROW < N && COL < N) {
// each thread computes one element of the block sub-matrix
for (int i = 0; i < N; i++) {
tmpSum += A[ROW * N + i] * B[i * N + COL];
}
}
C[ROW * N + COL] = tmpSum;
} |
9,817 | // -*- C++ -*-
// -*- coding: utf-8 -*-
//
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
//
// michael a.g. aïvázis
// california institute of technology
// (c) 1998-2010 all rights reserved
//
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
//
#include <getopt.h> // for getopt and friends
#include <cuda.h>
#include <cmath>
#include <iostream>
// each thread computes
__global__ void dilog_cuda(float* array, float zp, long workers, long subdivisions) {
// compute its offset using the block geometry builtins
int idx = blockIdx.x * blockDim.x + threadIdx.x;
// make sure we don't go past the last one
if (idx < workers && idx < subdivisions) {
float sum = 0.0f;
long load = subdivisions/workers;
float dz = zp/subdivisions;
float z = (idx-1.f)*load*dz + dz/2;
for (int i=0; i<load; i++) {
sum += log(1-z)/z;
z += dz;
}
// do the arithmetic
array[idx] = sum;
}
return;
}
int main(int argc, char* argv[]) {
// default values for the command line options
long N = 1000;
double z = 1.0;
// read the command line
int command;
while ((command = getopt(argc, argv, "z:N:")) != -1) {
switch (command) {
case 'z':
// get the argument of the dilogarithm
z = atof(optarg);
break;
case 'N':
// get the number of subdivisions
N = (long) atof(optarg);
break;
}
}
// geometry
int warp = 32;
int cores = 8;
int processors = 30;
size_t workers = processors*cores*warp;
// allocate a block on the host
float* partials_host = new float[workers];
for (int i=0; i<workers; i++) {
partials_host[i] = 0.f;
}
// allocate a block on the device
float* partials_dev;
cudaMalloc((void **) &partials_dev, workers*sizeof(float));
// send the data from the host to the device
cudaMemcpy(partials_dev, partials_host, workers*sizeof(float), cudaMemcpyHostToDevice);
// set up the device execution context for our threads
// each thread will take care of one element
int blockSz = warp; // a warp at a time
// compute the number of blocks needed
int nBlocks = cores*processors;
// compute the load per thread
long load = N/workers + 1;
N = load*workers;
float dz = z/N;
// compute
dilog_cuda <<<nBlocks, blockSz>>> (partials_dev, z, (long)workers, N);
// get the partials back on the host
cudaMemcpy(partials_host, partials_dev, workers*sizeof(float), cudaMemcpyDeviceToHost);
// do the reduction
double sum = 0.f;
for (int i=0; i<workers; i++) {
sum += partials_host[i];
}
sum *= -dz;
std::cout << "sum = " << sum << std::endl;
// all done
return 0;
}
// end of file
|
9,818 | #include "includes.h"
// includes, project
#define PI 3.1415926536f
int MaxThreadsPerBlock;
int MaxThreadsX;
int MaxThreadsY;
// Conversion d'un vecteur réel en vecteur complexe
// Conversion d'un vecteur complexe en vecteur réel
// Multiplie point par point un vecteur complex par un vecteur réel
// Applique y = at*x +bt à chaque point d'un vecteur réel
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de réel
// Alpha n'est pas modifié
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de bytes
// Alpha n'est pas modifié
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de réel
// Alpha autorise l'affichage au dessus d'un certain seuil
// Processus auto-régressif X2 = a*X1 + b*X0 + N0;
// Expansion
// On applique une interpolation bi-linéaire à la source
// Transformation Cartesian To Polar
// On applique une interpolation bi-linéaire à la source
__global__ void Kernel_Expansion1(double *tb1, double *tb2, int width, int height, double Dx, double x0, double Dy, double y0 )
{
int x = blockIdx.x*blockDim.x + threadIdx.x;
int y = blockIdx.y*blockDim.y + threadIdx.y;
if (x >= width || y >= height) return;
double xt = (x-x0)/Dx +x0;
double yt = (y-y0)/Dy +y0;
int x1 = ((int) xt) % width ;
int y1 = ((int) yt) % height;
int xp1 = (x1+1) % width;
int yp1 = (y1+1) % height;
double z1 = tb1[width*y1+x1];
double z2 = tb1[width*yp1+x1];
double z3 = tb1[width*yp1+xp1];
double z4 = tb1[width*y1+xp1];
double dx = xt-floorf(xt);
double dy = yt-floorf(yt);
double zp = z1+ dy*(z2-z1);
double zq = z4+ dy*(z3-z4);
double ZR = zp+ dx*(zq-zp);
tb2[width*y+x] = ZR;
} |
9,819 |
__device__
void compute(double *x) {
x[0] = 0;
}
|
9,820 | /***************************************************************************//**
* \file intermediateVelocity.cu
* \author Christopher Minar (minarc@oregonstate.edu)
* \brief kernels to generate the right hand side for the initial velocity solve
*/
#include "pressure.h"
/**
* \namespace kernels
* \brief Contains all the custom-written CUDA kernels.
*/
namespace kernels
{
__global__
void size_LHS2(int *hybridTagsP, int *count, int *startI, int *startJ, int width, int height, int nx, int ny)
{
int ip,counter = 0;
for (int j=startJ[0]; j<startJ[0]+height; j++)
{
for (int i=startI[0]; i<startI[0]+width; i++)
{
ip = j*nx+i;
if (hybridTagsP[ip]>0)
{
counter+=1;
count[ip] = counter;
}
}
}
}
__global__
void update_rhs2(double *rhs2, double *ns_rhs, double *interp_rhs, int nx, int ny)
{
if (threadIdx.x + blockDim.x * blockIdx.x >= (nx-1)*ny)
return;
int ip = threadIdx.x + blockDim.x * blockIdx.x,
I = ip % nx,
J = ip / nx;
if (I == 0 || I == nx-1 || J == 0 || J == ny-1)
return;
rhs2[ip] = rhs2[ip] * ns_rhs[ip] + interp_rhs[ip];
}
}
|
9,821 |
/* This is a automatically generated test. Do not modify */
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__
void compute(float comp, float var_1,int var_2,int var_3,int var_4,float var_5,float var_6,float var_7,float var_8,float var_9,float var_10,float var_11,float var_12,float var_13,float* var_14,float* var_15,float var_16,float var_17,float var_18,float var_19,float* var_20,float var_21,float var_22,float var_23,float var_24,float var_25) {
if (comp < +0.0f * var_1) {
float tmp_1 = -1.8671E-35f;
comp += tmp_1 / (-1.3120E-37f / cosf((var_5 - -0.0f)));
comp = atanf(+0.0f);
comp = (+0.0f - -1.6877E-22f - (-1.7781E4f + var_6 / var_7));
for (int i=0; i < var_2; ++i) {
float tmp_2 = +0.0f;
comp += tmp_2 * var_8 * var_9 - var_10 + var_11;
comp = +1.4191E8f - (var_12 * (-1.7829E-35f - (+1.0138E35f * var_13)));
}
for (int i=0; i < var_3; ++i) {
float tmp_3 = (+1.5109E36f + expf(+1.8408E36f + (-1.8180E-44f - (var_16 * (+1.9724E36f / var_17)))));
var_14[i] = -1.2210E-35f;
var_15[i] = +1.4652E34f;
comp = var_15[i] / var_14[i] - tmp_3 + powf(+1.3100E-35f - -0.0f / +1.6113E-36f / (var_18 + (+1.8844E7f / +1.7618E-42f)), -1.0730E-9f / var_19);
}
for (int i=0; i < var_4; ++i) {
comp = -1.9438E34f / (-1.9796E34f * +1.2381E-27f / var_21);
var_20[i] = -1.5665E35f;
float tmp_4 = var_22 * -0.0f + var_23;
comp += tmp_4 * var_20[i] * fabsf(-1.5118E-2f * coshf((var_24 * +1.0091E36f - (var_25 * sinf(tanhf(-0.0f))))));
}
}
printf("%.17g\n", comp);
}
float* initPointer(float v) {
float *ret = (float*) malloc(sizeof(float)*10);
for(int i=0; i < 10; ++i)
ret[i] = v;
return ret;
}
int main(int argc, char** argv) {
/* Program variables */
float tmp_1 = atof(argv[1]);
float tmp_2 = atof(argv[2]);
int tmp_3 = atoi(argv[3]);
int tmp_4 = atoi(argv[4]);
int tmp_5 = atoi(argv[5]);
float tmp_6 = atof(argv[6]);
float tmp_7 = atof(argv[7]);
float tmp_8 = atof(argv[8]);
float tmp_9 = atof(argv[9]);
float tmp_10 = atof(argv[10]);
float tmp_11 = atof(argv[11]);
float tmp_12 = atof(argv[12]);
float tmp_13 = atof(argv[13]);
float tmp_14 = atof(argv[14]);
float* tmp_15 = initPointer( atof(argv[15]) );
float* tmp_16 = initPointer( atof(argv[16]) );
float tmp_17 = atof(argv[17]);
float tmp_18 = atof(argv[18]);
float tmp_19 = atof(argv[19]);
float tmp_20 = atof(argv[20]);
float* tmp_21 = initPointer( atof(argv[21]) );
float tmp_22 = atof(argv[22]);
float tmp_23 = atof(argv[23]);
float tmp_24 = atof(argv[24]);
float tmp_25 = atof(argv[25]);
float tmp_26 = atof(argv[26]);
compute<<<1,1>>>(tmp_1,tmp_2,tmp_3,tmp_4,tmp_5,tmp_6,tmp_7,tmp_8,tmp_9,tmp_10,tmp_11,tmp_12,tmp_13,tmp_14,tmp_15,tmp_16,tmp_17,tmp_18,tmp_19,tmp_20,tmp_21,tmp_22,tmp_23,tmp_24,tmp_25,tmp_26);
cudaDeviceSynchronize();
return 0;
}
|
9,822 | #include "includes.h"
__global__ void normalize_scale_bias_kernel(int N, float *x, float *mean, float *variance, float *scales, float *biases, int batch, int filters, int spatial, int inverse_variance, float epsilon)
{
const int index = blockIdx.x*blockDim.x + threadIdx.x;
if (index >= N) return;
int f = (index / spatial) % filters;
float val = 0;
if(inverse_variance) val = (x[index] - mean[f]) * variance[f];
else val = (x[index] - mean[f]) / (sqrtf(variance[f] + epsilon));
val *= scales[f];
val += biases[f];
if (!isnan(val) && !isinf(val))
x[index] = val;
} |
9,823 | #include <stdio.h>
__global__ void mykernel() {
printf("Hello World \n");
}
int main(void) {
mykernel<<<1, 1 >>>();
}
|
9,824 | //
// N-BODY CODE
//
#include <iostream>
#include <sys/stat.h> // for file existence check
#include <random>
#include <cuda.h>
#include <chrono>
#include <string>
#include <vector>
#include <math.h>
#include <stdexcept>
#include <iomanip>
#include <fstream>
#include <new> // std::bad_alloc //
#include <algorithm> // std::swap //
using namespace std;
using Clock = chrono::high_resolution_clock;
using Duration = chrono::duration<double>;
// precision for file output
#define FILEOUTPUT_PRECISION 10
__global__
void up_kernel(float* pos_x,
float* pos_y,
float* pos_z,
const float* vel_x,
const float* vel_y,
const float* vel_z,
float dt,
int N) {
int id = threadIdx.x + blockIdx.x * blockDim.x;
pos_x[id] += vel_x[id] * dt;
pos_y[id] += vel_y[id] * dt;
pos_z[id] += vel_z[id] * dt;
}
__global__
void us_kernel(const float* masses,
const float* pos_x,
const float* pos_y,
const float* pos_z,
float* vel_x,
float* vel_y,
float* vel_z,
float dt,
float epsilon,
int N) {
int id = threadIdx.x + blockIdx.x * blockDim.x;
// the body's acceleration
float acc_x = 0;
float acc_y = 0;
float acc_z = 0;
// temporary register
float diff_x;
float diff_y;
float diff_z;
float norm;
int j;
for (j = 0; j < N; ++j) {
diff_x = pos_x[j] - pos_x[id];
diff_y = pos_y[j] - pos_y[id];
diff_z = pos_z[j] - pos_z[id];
// to ensure a certain order of execution we write
// the calculations in seperate lines. Keep in mind
// that opencl does not define an operator precedence,
// thus we have to ensure this by ourselves.
norm = diff_x * diff_x;
norm += diff_y * diff_y;
norm += diff_z * diff_z;
norm = sqrt(norm);
norm = norm * norm * norm;
norm = norm == 0 ? 0 : 1.0f / norm + epsilon;
norm *= masses[j];
acc_x += norm * diff_x;
acc_y += norm * diff_y;
acc_z += norm * diff_z;
}
vel_x[id] += acc_x * dt;
vel_y[id] += acc_y * dt;
vel_z[id] += acc_z * dt;
}
template<class IntType>
void commandLineGetInt(IntType* p, const std::string& key, int argc, char* argv[]) {
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == key) {
*p = std::stoll(argv[i+1]);
break;
}
}
}
void commandLineGetFloat(float* p, const std::string& key, int argc, char* argv[]) {
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == key) {
*p = std::stof(argv[i+1]);
break;
}
}
}
void commandLineGetString(string* s, const std::string& key, int argc, char* argv[]) {
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == key) {
s->assign(argv[i + 1]);
break;
}
}
}
void commandLineGetBool(bool* p, const std::string& key, int argc, char* argv[]) {
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == key) {
*p = true;
break;
}
}
}
bool commandLineGetBool(const std::string& key, int argc, char* argv[]) {
for (int i = 1; i < argc; ++i) {
if (std::string(argv[i]) == key) {
return true;
}
}
return false;
}
bool fileExists(const std::string& filename) {
struct stat buf;
if (stat(filename.c_str(), &buf) != -1) {
return true;
}
return false;
}
// gives back the relative number of different elements,
// thus the result will be between 0 and 1.
template<class ArrayA_T, class ArrayB_T>
double relNumDiffEl(ArrayA_T a, ArrayB_T b, int N, double diff = 0) {
double res = 0;
for (int i = 0; i < N; ++i) {
if (fabs(a[i] - b[i]) > diff) {
res += 1. / (float) N;
}
}
return res;
}
// gives back the mean of the relative differences
// between the elements.
template<class ArrayA_T, class ArrayB_T>
double relDiffEl(ArrayA_T a, ArrayB_T b, int N) {
double res = 0;
for (int i = 0; i < N; ++i) {
res += fabs(a[i] - b[i])/b[i];
}
return res;
}
void updatePositions_cpu(float* pos_x,
float* pos_y,
float* pos_z,
const float* vel_x,
const float* vel_y,
const float* vel_z,
float dt,
int N) {
for (int id = 0; id < N; ++id) {
pos_x[id] = pos_x[id] + vel_x[id] * dt;
pos_y[id] = pos_y[id] + vel_y[id] * dt;
pos_z[id] = pos_z[id] + vel_z[id] * dt;
}
}
void updateSpeed_cpu(const float* masses,
const float* pos_x,
const float* pos_y,
const float* pos_z,
float* vel_x,
float* vel_y,
float* vel_z,
float dt,
float epsilon,
int N) {
// the body's acceleration
float acc_x;
float acc_y;
float acc_z;
// temporary register
float diff_x;
float diff_y;
float diff_z;
float norm;
int j;
for (int id = 0; id < N; ++id) {
acc_x = 0;
acc_y = 0;
acc_z = 0;
for (j = 0; j < N; ++j) {
diff_x = pos_x[j] - pos_x[id];
diff_y = pos_y[j] - pos_y[id];
diff_z = pos_z[j] - pos_z[id];
// to ensure a certain order of execution we write
// the calculations in seperate lines. Keep in mind
// that opencl does not define an operator precedence,
// thus we have to ensure this by ourselves.
norm = diff_x * diff_x;
norm += diff_y * diff_y;
norm += diff_z * diff_z;
norm = sqrt(norm);
norm = norm * norm * norm;
norm = norm == 0 ? 0 : 1.0f / norm + epsilon;
norm *= masses[j];
acc_x += norm * diff_x;
acc_y += norm * diff_y;
acc_z += norm * diff_z;
}
vel_x[id] += acc_x * dt;
vel_y[id] += acc_y * dt;
vel_z[id] += acc_z * dt;
}
} // end updateSpeed_cpu()
template<class ArrayT>
void printArray(ArrayT p, int N, int precision = 4) {
for (int i = 0; i < N - 1; ++i) {
cout << setprecision(precision) << setw(precision + 4) << left << p[i] << ' ';
}
cout << p[N - 1];
}
void printUsage(const char* fileName) {
cout << endl;
cout << "Usage: " << fileName << " [OPTION]"<< endl;
cout << endl;
cout << "Options:" << endl;
cout << " -N <size>" << endl;
cout << " denotes the number of bodies to simulate" << endl;
cout << " -T <steps>" << endl;
cout << " number of time steps to integrate the motion" << endl;
cout << " -dt <time step>" << endl;
cout << " size of one timestep (default = 0.001)" << endl;
cout << " -e <softening>" << endl;
cout << " gravitational softening to smooth the bodies' motion (default = 0.001)" << endl;
cout << " -bs <block size>" << endl;
cout << " specifies the number of threads per block" << endl;
cout << " -check" << endl;
cout << " progam verifies the results with the cpu calculations" << endl;
cout << " and report the error" << endl;
cout << " -v" << endl;
cout << " print the bodies' properties after `T` timesteps for gpu (and cpu)" << endl;
cout << " -fno-pu" << endl;
cout << " force no updates of the particles' positions" << endl;
cout << " -fno-su" << endl;
cout << " force no updates of the particles' velocities" << endl;
cout << " -fout <output file>" << endl;
cout << " e.g. ./results/out.txt the programm will create" << endl;
cout << " a file containing the bodies' properties for every timestep." << endl;
cout << " If available the CPU output will be written." << endl;
cout << " --write-only-last" << endl;
cout << " If set only the last timestep will be written to the specified" << endl;
cout << " output file" << endl;
cout << " -fkernel <.ptx file>" << endl;
cout << " the file with kernels `updatePositions` and `updateSpeed`" << endl;
cout << " (default = ./n-body-kernel.ptx)" << endl;
cout << " -fcheck-file <.csv file>" << endl;
cout << " Checks the current result against the result stored in the given" << endl;
cout << " file. The file must contain 7 lines with the positions in x y z," << endl;
cout << " the velocities in x y z and the masses. Every line must contain" << endl;
cout << " the same number of values seperated by whitespaces." << endl;
cout << " -h" << endl;
cout << " show this help message" << endl;
cout << endl;
}
int main(int argc, char* argv[]) {
// Default Values //
int N = 1024;
int T = 1000;
float dt = 0.0001f;
float e = 0.01f;
int blockSize = 64;
bool checkResult = false;
bool writeOnlyLast = false;
bool verbose = false;
bool fnopu = false; // force no position update
bool fnosu = false; // force no speed update
string fout;
string fcheckfile;
string fkernel = "n-body-kernel.ptx";
if (commandLineGetBool("-h", argc, argv) || commandLineGetBool("--help", argc, argv)) {
printUsage(argv[0]);
return EXIT_SUCCESS;
}
commandLineGetInt(&N, "-N", argc, argv);
commandLineGetInt(&T, "-T", argc, argv);
commandLineGetFloat(&dt, "-dt", argc, argv);
commandLineGetFloat(&e, "-e", argc, argv);
commandLineGetInt(&blockSize, "-bs", argc, argv);
checkResult = commandLineGetBool("-check", argc, argv);
verbose = commandLineGetBool("-v", argc, argv);
fnopu = commandLineGetBool("-fno-pu", argc, argv);
fnosu = commandLineGetBool("-fno-su", argc, argv);
commandLineGetString(&fout, "-fout", argc, argv);
commandLineGetString(&fcheckfile, "-fcheck-file", argc, argv);
commandLineGetString(&fkernel, "-fkernel", argc, argv);
writeOnlyLast = commandLineGetBool("--write-only-last", argc, argv);
if (!fout.empty()) {
if (fileExists(fout)) {
cout << "***WARNING: file '" << fout << "' already exists; ";
cout << "Output will be appended!" << endl;
}
}
unsigned pd = 35; // padding for output
cout << left << boolalpha;
cout << endl;
cout << "# N-Body Computation" << endl;
cout << endl;
cout << "## Input Arguments" << endl;
cout << endl;
cout << " - N = " << setw(pd) << N << "(N bodies in total)" << endl;
cout << " - T = " << setw(pd) << T << "(timesteps in total)" << endl;
cout << " - dt = " << setw(pd) << dt << "(size of one timesteps)" << endl;
cout << " - e = " << setw(pd) << e << "(gravitational softening)" << endl;
cout << " - bs = " << setw(pd) << blockSize << "(number of threads per block)" << endl;
cout << " - checkResult = " << setw(pd-9) << checkResult << "(execute cpu n-body verification)" << endl;
cout << " - write-only-last = " << setw(pd-9) << writeOnlyLast << "(execute cpu n-body verification)" << endl;
cout << " - verbose = " << setw(pd-9) << verbose << endl;
cout << " - fnopu = " << setw(pd-9) << fnopu << endl;
cout << " - fnosu = " << setw(pd-9) << fnosu << endl;
cout << " - fout = " << setw(pd-9) << (fout.empty() ? "<not specified>" : fout) << "(output file)" << endl;
cout << " - fcheck-file = " << setw(pd-9) << (fcheckfile.empty() ? "<not specified>" : fcheckfile) << "(external result)" << endl;
cout << " - fkernel = " << setw(pd-9) << fkernel << "(.ptx kernel file)" << endl;
cout << endl;
cout << "## Execution Progress" << endl;
cout << endl;
// ALLOCATE HOST MEMORY //
cout << " - Going to allocate host memory..." << flush;
float* pos_x_h; // positions
float* pos_y_h;
float* pos_z_h;
float* vel_x_h; // velocities
float* vel_y_h;
float* vel_z_h;
float* m_h; // masses
float** all_h[] = { &pos_x_h, &pos_y_h, &pos_z_h, &vel_x_h, &vel_y_h, &vel_z_h, &m_h };
try {
for (int i = 0; i < 7; ++i) {
*all_h[i] = new float[N];
}
} catch (bad_alloc& ba) {
cout << "[FAILED]" << endl;
return EXIT_FAILURE;
}
cout << "[OK]" << endl;
// IF WE WANT TO COMPARE GPU VS CPU RESULT WE NEED ADDITIONAL BUFFERS
float* pos_x_gpures; // positions
float* pos_y_gpures;
float* pos_z_gpures;
float* vel_x_gpures; // velocities
float* vel_y_gpures;
float* vel_z_gpures;
float* m_gpures; // masses
float** all_gpures[] = { &pos_x_gpures, &pos_y_gpures, &pos_z_gpures,
&vel_x_gpures, &vel_y_gpures, &vel_z_gpures, &m_gpures };
if (checkResult) {
cout << " - Going to allocate host memory for GPU result check..." << flush;
try {
for (int i = 0; i < 7; ++i) {
*all_gpures[i] = new float[N];
}
} catch (bad_alloc& ba) {
cout << "[FAILED]" << endl;
return EXIT_FAILURE;
}
cout << "[OK]" << endl;
}
// SET INITIAL CONDITIONS //
cout << " - Going to set initial conditions..." << flush;
default_random_engine gen(0);
uniform_real_distribution<float> dist(0, 1);
for (unsigned int i = 0; i < N; ++i) {
vel_x_h[i] = 0;
vel_y_h[i] = 0;
vel_z_h[i] = 0;
pos_x_h[i] = dist(gen);
pos_y_h[i] = dist(gen);
pos_z_h[i] = dist(gen);
m_h[i] = dist(gen) + 1;
}
cout << "[OK]" << endl;
// ALLOCATE DEVICE MEMORY //
cout << " - Allocating device memory..." << flush;
size_t size = N * sizeof(float);
float* pos_x_d;
float* pos_y_d;
float* pos_z_d;
float* vel_x_d;
float* vel_y_d;
float* vel_z_d;
float* m_d;
float** all_d[] = { &pos_x_d, &pos_y_d, &pos_z_d, &vel_x_d, &vel_y_d, &vel_z_d, &m_d };
for (int i = 0; i < 7; ++i) {
if (cudaMalloc(all_d[i], size) != cudaSuccess) {
cout << "[FAILED]" << endl;
exit(1);
}
}
cout << "[OK]" << endl;
// COPY HOST TO DEVICE //
cout << " - Copy from host to device..." << flush;
auto htod_begin = Clock::now();
for (int i = 0; i < 7; ++i) {
if (cudaMemcpy(*all_d[i], *all_h[i], size, cudaMemcpyHostToDevice) != cudaSuccess) {
cout << "[FAILED]" << endl;
exit(1);
}
}
Duration t_htod = Clock::now() - htod_begin;
cout << "[OK]" << endl;
// VERIFY RESULTS WITH CPU CALCULATION //
if (checkResult) {
cout << " - Execute CPU N-Body Calculation..." << flush;
for (unsigned int i = 0; i < T; ++i) {
if (!fout.empty() && !writeOnlyLast) {
fstream fs (fout, fstream::out | fstream::app);
for (int i = 0; i < 7; ++i) {
for (int j = 0; j < N - 1; ++j) {
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[j] << ' ';
}
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[N - 1] << endl;
}
fs.close();
}
updateSpeed_cpu(m_h, pos_x_h, pos_y_h, pos_z_h, vel_x_h, vel_y_h, vel_z_h, dt, e, N);
updatePositions_cpu(pos_x_h, pos_y_h, pos_z_h, vel_x_h, vel_y_h, vel_z_h, dt, N);
}
cout << "[OK]" << endl;
}
// PREPARE KERNEL ARGUMENTS //
int threads = blockSize;
int blocks = N / blockSize;
if ( N % blockSize != 0) {
cout << "***ERROR: case N % blockSize != 0 is not supported" << endl
<< "*** now blockSize = " << blockSize << endl;
return EXIT_FAILURE;
}
int oc_blocks;
cudaOccupancyMaxActiveBlocksPerMultiprocessor(&oc_blocks, &us_kernel, threads, 0);
cout << " - Occupancy calculator result = " << oc_blocks << " active blocks per multiprocessor" << endl;
cout << " - Launching grids {" << blocks << ", 1, 1}, block {" << threads << ", 1, 1}..." << flush;
auto kernel_begin = Clock::now();
for (unsigned i = 0; i < T; ++i) {
if (!fnosu) {
us_kernel <<< blocks,threads >>> (m_d,pos_x_d,pos_y_d,pos_z_d,vel_x_d,vel_y_d,vel_z_d,dt,e,N);
cudaDeviceSynchronize();
}
if (!fnopu) {
up_kernel <<< blocks,threads >>> (pos_x_d,pos_y_d,pos_z_d,vel_x_d,vel_y_d,vel_z_d,dt,N);
cudaDeviceSynchronize();
}
if (!fout.empty() && !checkResult && !writeOnlyLast) { // write gpu result to file
for (int i = 0; i < 6; ++i) { // we skip copying the masses
if (cudaMemcpy(*all_h[i], *all_d[i], size, cudaMemcpyDeviceToHost) != cudaSuccess) {
cout << "***ERROR while copying data from GPU to CPU" << endl;
exit(1);
}
}
fstream fs (fout, fstream::out | fstream::app);
for (int i = 0; i < 7; ++i) {
for (int j = 0; j < N - 1; ++j) {
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[j] << ' ';
}
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[N - 1] << endl;
}
fs.close();
}
}
Duration t_kernel = Clock::now() - kernel_begin;
cout << "[OK]" << endl;
// COPY DEVICE TO HOST //
cout << " - Copy from device to host..." << flush;
auto dtoh_begin = Clock::now();
if (checkResult) {
for (int i = 0; i < 6; ++i) { // we skip copying the masses
if (cudaMemcpy(*all_gpures[i], *all_d[i], size, cudaMemcpyDeviceToHost) != cudaSuccess) {
cout << "[FAILED]" << endl;
exit(1);
}
}
}
else {
for (int i = 0; i < 6; ++i) { // we skip copying the masses
if (cudaMemcpy(*all_h[i], *all_d[i], size, cudaMemcpyDeviceToHost) != cudaSuccess) {
cout << "[FAILED]" << endl;
exit(1);
}
}
}
Duration t_dtoh = Clock::now() - dtoh_begin;
cout << "[OK]" << endl;
cout << endl;
cout << "## Result evaluation" << endl;
cout << endl;
// WRITE RESULT IF WANTED //
if (writeOnlyLast) {
cout << " - Writing last timestep to file '" << fout << "'..." << flush;
fstream fs (fout, fstream::out | fstream::app);
for (int i = 0; i < 7; ++i) {
for (int j = 0; j < N - 1; ++j) {
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[j] << ' ';
}
fs << setprecision(FILEOUTPUT_PRECISION) << (*all_h[i])[N - 1] << endl;
}
fs.close();
cout << "[OK]" << endl;
}
// CHECK IF RESULTS ARE EQUAL //
if (checkResult) {
cout << " - Verifying GPU results with CPU results:" << endl;
cout << " - pos x error = " << relDiffEl(pos_x_h, pos_x_gpures, N) * 100 << " %" << endl;
cout << " - pos y error = " << relDiffEl(pos_y_h, pos_y_gpures, N) * 100 << " %" << endl;
cout << " - pos z error = " << relDiffEl(pos_z_h, pos_z_gpures, N) * 100 << " %" << endl;
cout << " - vel x error = " << relDiffEl(vel_x_h, vel_x_gpures, N) * 100 << " %" << endl;
cout << " - vel y error = " << relDiffEl(vel_y_h, vel_y_gpures, N) * 100 << " %" << endl;
cout << " - vel z error = " << relDiffEl(vel_z_h, vel_z_gpures, N) * 100 << " %" << endl;
}
// COMPARE AGAINST EXTERNAL RESULTS //
if (!fcheckfile.empty()) {
cout << " - Reading results from external file '" << fcheckfile << "'..." << flush;
vector<float> pos_x_check(N);
vector<float> pos_y_check(N);
vector<float> pos_z_check(N);
vector<float> vel_x_check(N);
vector<float> vel_y_check(N);
vector<float> vel_z_check(N);
vector<float> m_check(N);
fstream fs (fcheckfile, fstream::in);
for (int j = 0; j < N; ++j) {
fs >> pos_x_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> pos_y_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> pos_z_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> vel_x_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> vel_y_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> vel_z_check[j];
}
for (int j = 0; j < N; ++j) {
fs >> m_check[j];
}
fs.close();
cout << "[OK]" << endl;
cout << " - Verifying " << (checkResult ? "CPU" : "GPU") << " results with external results:" << endl;
cout << " - pos x error = " << relDiffEl(pos_x_check, pos_x_h, N) * 100 << " %" << endl;
cout << " - pos y error = " << relDiffEl(pos_y_check, pos_y_h, N) * 100 << " %" << endl;
cout << " - pos z error = " << relDiffEl(pos_z_check, pos_z_h, N) * 100 << " %" << endl;
cout << " - vel x error = " << relDiffEl(vel_x_check, vel_x_h, N) * 100 << " %" << endl;
cout << " - vel y error = " << relDiffEl(vel_y_check, vel_y_h, N) * 100 << " %" << endl;
cout << " - vel z error = " << relDiffEl(vel_z_check, vel_z_h, N) * 100 << " %" << endl;
cout << " - masses error = " << relDiffEl(m_check, m_h, N) * 100 << " %" << endl;
}
// IF VERBOSE PRINT GRIDS //
if (verbose) {
if (checkResult) {
cout << " - CPU result:" << endl;
cout << " - pos x: ";
printArray(pos_x_h, N); cout << endl;
cout << " - pos y: ";
printArray(pos_y_h, N); cout << endl;
cout << " - pos z: ";
printArray(pos_z_h, N); cout << endl;
cout << " - vel x: ";
printArray(vel_x_h, N); cout << endl;
cout << " - vel y: ";
printArray(vel_y_h, N); cout << endl;
cout << " - vel z: ";
printArray(vel_z_h, N); cout << endl;
cout << " - GPU result:" << endl;
cout << " - pos x: ";
printArray(pos_x_gpures, N); cout << endl;
cout << " - pos y: ";
printArray(pos_y_gpures, N); cout << endl;
cout << " - pos z: ";
printArray(pos_z_gpures, N); cout << endl;
cout << " - vel x: ";
printArray(vel_x_gpures, N); cout << endl;
cout << " - vel y: ";
printArray(vel_y_gpures, N); cout << endl;
cout << " - vel z: ";
printArray(vel_z_gpures, N); cout << endl;
cout << " - masses: ";
printArray(m_h, N); cout << endl;
}
else {
cout << " - GPU result:" << endl;
cout << " - pos x: ";
printArray(pos_x_h, N); cout << endl;
cout << " - pos y: ";
printArray(pos_y_h, N); cout << endl;
cout << " - pos z: ";
printArray(pos_z_h, N); cout << endl;
cout << " - vel x: ";
printArray(vel_x_h, N); cout << endl;
cout << " - vel y: ";
printArray(vel_y_h, N); cout << endl;
cout << " - vel z: ";
printArray(vel_z_h, N); cout << endl;
cout << " - masses: ";
printArray(m_h, N); cout << endl;
}
}
// FREE MEMORY //
cout << " - Going to free host memory..." << flush;
try {
for (int i = 0; i < 7; ++i) {
delete[] *all_h[i];
}
} catch (...) {
cout << "[FAILED]" << endl;
return EXIT_FAILURE;
}
cout << "[OK]" << endl;
if (checkResult) {
cout << " - Going to free host memory needed for GPU result check..." << flush;
try {
for (int i = 0; i < 7; ++i) {
delete[] *all_gpures[i];
}
} catch (...) {
cout << "[FAILED]" << endl;
return EXIT_FAILURE;
}
cout << "[OK]" << endl;
}
// FREE DEVICE MEMORY //
cout << " - Going to free device memory..." << flush;
for (int i = 0; i < 7; ++i) {
if (cudaFree(*all_d[i]) != cudaSuccess) {
cout << "[FAILED]" << endl;
exit(1);
}
}
cout << "[OK]" << endl;
cout << endl;
// REPORT //
cout << "## Program Report" << endl;
cout << endl;
cout << " - host to device copy time = " << t_htod.count() << " s" << endl
<< " - device to host copy time = " << t_dtoh.count() << " s" << endl
<< " - kernel time = " << t_kernel.count() << " s" << endl;
return EXIT_SUCCESS;
}
|
9,825 | #include<stdio.h>
int main() {
cudaDeviceProp prop;
int device_id = 0;
printf("\nGet properties from device #%d:\n", device_id);
cudaError_t error_code = cudaGetDeviceProperties(&prop, device_id);
if(error_code==cudaSuccess)
{
printf("CUDA API successed!\n");
}
else if(error_code==cudaErrorInvalidDevice)
{
printf("Invalid Device! code:%d \n", error_code);
}
device_id = 1;
printf("\nGet properties from device #%d:\n", device_id);
error_code = cudaGetDeviceProperties(&prop, device_id);
if(error_code==cudaSuccess)
{
printf("CUDA API successed!\n");
}
else if(error_code==cudaErrorInvalidDevice)
{
printf("Invalid Device! code:%d \n", error_code);
printf("line:%d in %s\n", __LINE__, __FILE__);
}
return 0;
}
|
9,826 | #include "fp.cuh"
void set_input(int idx,float image[TRAIN_NUM][ROW][COL])
{
for(int i=0;i<ROW;i++)
for(int j=0;j<COL;j++)
input[i][j]=image[idx][i][j];
}
void input_conv()
{
for(int i=0;i<CONV_W_NUM;i++)
for(int j=0;j<CONV_SIZE;j++)
for(int k=0;k<CONV_SIZE;k++)
{
conv_z[i][j][k]=0;
for(int l=0;l<CONV_W_SIZE;l++)
for(int m=0;m<CONV_W_SIZE;m++)
conv_z[i][j][k]+=input[j+l][k+m]*conv_w[i][l][m];
conv_z[i][j][k]+=conv_b[i];
conv_a[i][j][k]=sigmoid(conv_z[i][j][k]);
}
}
void conv_pool()
{
for(int i=0;i<CONV_W_NUM;i++)
for(int j=0;j<POOL_SIZE;j++)
for(int k=0;k<POOL_SIZE;k++)
{
float _max=conv_a[i][j*2][k*2];
pool_pos[i][j][k]=0;
if(conv_a[i][j*2][k*2+1]>_max)
{
_max=conv_a[i][j*2][k*2+1];
pool_pos[i][j][k]=1;
}
if(conv_a[i][j*2+1][k*2]>_max)
{
_max=conv_a[i][j*2+1][k*2];
pool_pos[i][j][k]=2;
}
if(conv_a[i][j*2+1][k*2+1]>_max)
{
_max=conv_a[i][j*2+1][k*2+1];
pool_pos[i][j][k]=3;
}
pool[i][j][k]=_max;
}
}
void pool_fc1()
{
for(int i=0;i<FC1_SIZE;i++)
{
fc1_z[i]=0;
for(int j=0;j<CONV_W_NUM;j++)
for(int k=0;k<POOL_SIZE;k++)
for(int l=0;l<POOL_SIZE;l++)
fc1_z[i]+=pool[j][k][l]*fc1_w[i][j][k][l];
fc1_z[i]+=fc1_b[i];
fc1_a[i]=sigmoid(fc1_z[i]);
}
}
void fc1_fc2()
{
for(int i=0;i<FC2_SIZE;i++)
{
fc2_z[i]=0;
for(int j=0;j<FC1_SIZE;j++)
fc2_z[i]+=fc1_a[j]*fc2_w[i][j];
fc2_z[i]+=fc2_b[i];
fc2_a[i]=sigmoid(fc2_z[i]);
}
}
void set_answer(int idx,int label[TRAIN_NUM])
{
for(int i=0;i<FC2_SIZE;i++)
{
output[i]=fc2_a[i];
answer[i]=(label[idx]==i)?1:0;
}
}
void check_answer(int &correct_cnt)
{
float _max=output[0];
int max_pos=0;
for(int i=0;i<FC2_SIZE;i++)
{
if(_max<output[i])
{
_max=output[i];
max_pos=i;
}
}
if(answer[max_pos])
correct_cnt++;
}
void get_error(float &avg_error)
{
for(int i=0;i<FC2_SIZE;i++)
{
C[i]=output[i]-answer[i];
avg_error+=C[i]*C[i]*0.5;
}
} |
9,827 |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <time.h>
#include <stdio.h>
#include <stdlib.h>
//#include <atlimage.h>
enum color_transform_t
{
grayscale,
sRGB,
LAB
};
enum transform_t
{
Gaussian
};
#define SIZE 1000
cudaError_t transform(uchar3 *dst_img, uchar3 *src_img, int img_size, int block_size, int grid_size, color_transform_t type);
cudaError_t transform();
// convert one scanline to grayscale in parallel
__global__ void grayscale_transform(uchar3 *dst_img, uchar3 *src_img, int img_size)
{
unsigned int y = blockIdx.y * blockDim.y + threadIdx.y;
unsigned int x = blockIdx.x * blockDim.x + threadIdx.x;
unsigned int idx = y * SIZE + x;
uchar3 rgb = src_img[idx];
int average = (rgb.x + rgb.y + rgb.z) / 3;
dst_img[idx].x = average;
dst_img[idx].y = average;
dst_img[idx].z = average;
}
void host_grayscale(uchar3 *dst_img, uchar3 *src_img, int img_size)
{
for (int i = 0; i < SIZE * SIZE; i++)
{
uchar3 rgb = src_img[i];
int average = (rgb.x + rgb.y + rgb.z) / 3;
dst_img[i].x = average;
dst_img[i].y = average;
dst_img[i].z = average;
}
}
int main()
{
// genreate a dummy image
int size = SIZE * SIZE;
int img_size = size * sizeof(uchar3);
// So GPU Programming is somewhat different than regular programming
// or regular concurrent programming for that matter.
// With the GPU, we have to imagine the hardware as such:
// The GPU contains
int block_size = size / SIZE;
int grid_size = size / block_size;
//CImage img;
uchar3 *src_img, *gray_img, srgb;
src_img = (uchar3*)malloc(img_size);
gray_img = (uchar3*)malloc(img_size);
for (int i = 0; i < SIZE * SIZE; i++)
{
uchar3 src, gray;
src.x = 128;
src.y = 64;
src.x = 256;
gray.x = 0;
gray.y = 0;
gray.z = 0;
src_img[i] = src;
gray_img[i] = gray;
}
cudaError_t cudaStatus = transform(gray_img, src_img, img_size, block_size, grid_size, grayscale);
if (cudaStatus != cudaSuccess)
{
fprintf(stderr, "addWithCuda failed!");
return 1;
}
cudaStatus = cudaDeviceReset();
if (cudaStatus != cudaSuccess)
{
fprintf(stderr, "cudadevicereset failed!");
return 1;
}
clock_t begin = clock();
host_grayscale(gray_img, src_img, img_size);
clock_t end = clock();
double time_spent = 1000 * (double)(end - begin) / CLOCKS_PER_SEC;
printf("CPU Execution Time: %32fms", time_spent);
free(gray_img);
free(src_img);
return 0;
system("pause");
return 0;
system("pause");
}
// transform an image
cudaError_t transform(uchar3 *dst_img, uchar3 *src_img, int img_size, int block_size, int grid_size, color_transform_t type)
{
cudaError_t cudaStatus;
uchar3 *t_src, *gpu_output;
cudaStatus = cudaMalloc((void**)&t_src, img_size);
if (cudaStatus != cudaSuccess)
fprintf(stderr, "cudaMalloc failed!");
cudaStatus = cudaMalloc((void**)&gpu_output, img_size);
if (cudaStatus != cudaSuccess)
fprintf(stderr, "cudaMalloc failed!");
cudaStatus = cudaMemcpy(t_src, src_img, img_size, cudaMemcpyHostToDevice);
if (cudaStatus != cudaSuccess)
fprintf(stderr, "cudaMemcpy failed!");
float et;
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start);
if (type == grayscale)
grayscale_transform<<<grid_size, block_size>>>(gpu_output, t_src, img_size);
cudaEventRecord(stop);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&et, start, stop);
printf("GPU Execution Time: %32fms\n", et);
//// Check for any errors launching the kernel
cudaStatus = cudaGetLastError();
if (cudaStatus != cudaSuccess)
fprintf(stderr, "addKernel launch failed: %s\n", cudaGetErrorString(cudaStatus));
// cudaDeviceSynchronize waits for the kernel to finish, and returns
// any errors encountered during the launch.
cudaStatus = cudaDeviceSynchronize();
if (cudaStatus != cudaSuccess)
fprintf(stderr, "cudaDeviceSynchronize returned error code %d after launching addKernel!\n", cudaStatus);
//// Copy output vector from GPU buffer to host memory.
cudaStatus = cudaMemcpy(dst_img, gpu_output, img_size, cudaMemcpyDeviceToHost);
if (cudaStatus != cudaSuccess)
fprintf(stderr, "cudaMemcpy failed!");
return cudaStatus;
}
/// HERE IS A WORKING EXAMPLE
//cudaError_t addWithCuda(int *c, const int *a, const int *b, unsigned int size);
//
//__global__ void addKernel(int *c, const int *a, const int *b)
//{
// int i = threadIdx.x;
// c[i] = a[i] + b[i];
//}
//
//int main()
//{
// const int arraySize = 5;
// const int a[arraySize] = { 1, 2, 3, 4, 5 };
// const int b[arraySize] = { 10, 20, 30, 40, 50 };
// int c[arraySize] = { 0 };
//
// // Add vectors in parallel.
// cudaError_t cudaStatus = addWithCuda(c, a, b, arraySize);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "addWithCuda failed!");
// return 1;
// }
//
// printf("{1,2,3,4,5} + {10,20,30,40,50} = {%d,%d,%d,%d,%d}\n",
// c[0], c[1], c[2], c[3], c[4]);
//
// // cudaDeviceReset must be called before exiting in order for profiling and
// // tracing tools such as Nsight and Visual Profiler to show complete traces.
// cudaStatus = cudaDeviceReset();
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaDeviceReset failed!");
// return 1;
// }
//
// return 0;
//}
//
//// Helper function for using CUDA to add vectors in parallel.
//cudaError_t addWithCuda(int *c, const int *a, const int *b, unsigned int size)
//{
// int *dev_a = 0;
// int *dev_b = 0;
// int *dev_c = 0;
// cudaError_t cudaStatus;
//
// // Choose which GPU to run on, change this on a multi-GPU system.
// cudaStatus = cudaSetDevice(0);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaSetDevice failed! Do you have a CUDA-capable GPU installed?");
// goto Error;
// }
//
// // Allocate GPU buffers for three vectors (two input, one output) .
// cudaStatus = cudaMalloc((void**)&dev_c, size * sizeof(int));
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMalloc failed!");
// goto Error;
// }
//
// cudaStatus = cudaMalloc((void**)&dev_a, size * sizeof(int));
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMalloc failed!");
// goto Error;
// }
//
// cudaStatus = cudaMalloc((void**)&dev_b, size * sizeof(int));
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMalloc failed!");
// goto Error;
// }
//
// // Copy input vectors from host memory to GPU buffers.
// cudaStatus = cudaMemcpy(dev_a, a, size * sizeof(int), cudaMemcpyHostToDevice);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMemcpy failed!");
// goto Error;
// }
//
// cudaStatus = cudaMemcpy(dev_b, b, size * sizeof(int), cudaMemcpyHostToDevice);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMemcpy failed!");
// goto Error;
// }
//
// // Launch a kernel on the GPU with one thread for each element.
// addKernel<<<1, size>>>(dev_c, dev_a, dev_b);
//
// // Check for any errors launching the kernel
// cudaStatus = cudaGetLastError();
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "addKernel launch failed: %s\n", cudaGetErrorString(cudaStatus));
// goto Error;
// }
//
// // cudaDeviceSynchronize waits for the kernel to finish, and returns
// // any errors encountered during the launch.
// cudaStatus = cudaDeviceSynchronize();
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaDeviceSynchronize returned error code %d after launching addKernel!\n", cudaStatus);
// goto Error;
// }
//
// // Copy output vector from GPU buffer to host memory.
// cudaStatus = cudaMemcpy(c, dev_c, size * sizeof(int), cudaMemcpyDeviceToHost);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaMemcpy failed!");
// goto Error;
// }
//
//Error:
// cudaFree(dev_c);
// cudaFree(dev_a);
// cudaFree(dev_b);
//
// return cudaStatus;
//}
|
9,828 |
#include <stdio.h>
__global__ void teste (int *dev_a)
{
__shared__ int a[10];
a[threadIdx.x] = threadIdx.x;
__syncthreads();
printf("[%d] %d\n", threadIdx.x, a[(threadIdx.x+1)%10] );
}
int main(int argc, char const *argv[])
{
int *dev_a;
// int *host_a;
cudaMalloc((void**) &dev_a, 10 * sizeof(int));
teste <<<1,10>>> (dev_a);
// host_a = (int*) malloc (2 * sizeof(int));
// cudaMemcpy( host_a, dev_a, 2 * sizeof(int), cudaMemcpyDeviceToHost);
// for (int i = 0; i < 2; ++i)
// {
// printf("%d %d\n", i, host_a[i] );
// }
cudaDeviceSynchronize();
return 0;
}
|
9,829 | #include <iostream>
const int manualBlockSize = 32;
__global__ void square(int *array, int len)
{
int gtid = blockDim.x*blockIdx.x + threadIdx.x;
if (gtid < len)
array[gtid] *= array[gtid];
}
// active warps / maximum warps per SM
static double reportPotentialOccupancy(void *kernel, int blockSize, size_t dynamicSMem)
{
int device;
cudaDeviceProp prop;
int numBlocks;
int activeWarps;
int maxWarps;
double occupancy;
cudaGetDevice(&device);
cudaGetDeviceProperties(&prop, device);
cudaOccupancyMaxActiveBlocksPerMultiprocessor(&numBlocks, kernel, blockSize, dynamicSMem);
activeWarps = numBlocks*blockSize / prop.warpSize;
maxWarps = prop.maxThreadsPerMultiProcessor / prop.warpSize;
occupancy = (double)activeWarps / maxWarps;
return occupancy;
}
static int launchConfig(int *array, int arrayCount, bool automatic)
{
int blockSize;
int minGridSize;
int gridSize;
size_t dynamicSMemUsage = 0;
cudaEvent_t start;
cudaEvent_t end;
float elapsedTime;
double potentialOccupancy;
cudaEventCreate(&start);
cudaEventCreate(&end);
if (automatic)
{
cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, (void *)square,
dynamicSMemUsage, arrayCount);
std::cout << "Suggested block size:"<< blockSize << std::endl;
}
else
{
blockSize = manualBlockSize;
}
gridSize = (arrayCount + blockSize - 1)/blockSize;
cudaEventRecord(start);
square<<<gridSize, blockSize, dynamicSMemUsage>>>(array, arrayCount);
cudaEventRecord(end);
cudaDeviceSynchronize();
potentialOccupancy = reportPotentialOccupancy((void *)square, blockSize, dynamicSMemUsage);
std::cout << "potential occupancy:"<<potentialOccupancy * 100 << "%" <<std::endl;
cudaEventElapsedTime(&elapsedTime, start, end);
std::cout<< "Elapsed time:" <<elapsedTime << "ms" << std::endl;
return 0;
}
static int test(bool automaticLaunchConfig, const int count = 1000000)
{
int *array;
int *dArray;
int size = count * sizeof(int);
array = new int[count];
for (int i=0;i<count;i++)
{
array[i] = i;
}
cudaMalloc(&dArray,size);
cudaMemcpy(dArray, array, size, cudaMemcpyHostToDevice);
for (int i=0; i< count; i++)
{
array[i] = 0;
}
launchConfig(dArray,count,automaticLaunchConfig);
cudaMemcpy(array, dArray, size, cudaMemcpyDeviceToHost);
cudaFree(dArray);
for (int i=0;i<count;i++)
{
if (array[i] != i*i)
{
std::cout << "element" << i <<" expected "<< i*i <<" actual "<<array[i]<<std::endl;
return 1;
}
}
cudaDeviceReset();
delete[] array;
return 0;
}
int main()
{
int status;
std::cout << "[ Manual configuration with "<<manualBlockSize
<< " threads per block ]" << std::endl;
test(false);
test(true);
return 0;
}
|
9,830 | #include "includes.h"
__global__ void diff_reduce(double *dev_w, double *feat, double *pos, int feat_dim, int pos_dim, int par0, int par1, int n_patch)
{
int i = blockIdx.y * blockDim.y + threadIdx.y;
int j = blockIdx.x * blockDim.x + threadIdx.x;
double feat_dist = 0.0; // running entry sum of d_ij
double pos_dist = 0.0; // running entry sum of f_ij
int feat_offi = i * feat_dim; // offset of x_i
int feat_offj = j * feat_dim; // offset of x_j
int pos_offi = i * pos_dim; // offset of p_i
int pos_offj = j * pos_dim; // offset of p_j
double feat_i, feat_j, pos_i, pos_j;
// temporary local variables for entry sum calculation
int k;
if (i == j || i >= n_patch || j >= n_patch)
return;
/* thread (i, j) computes W_ij */
// get the k-th element of difference vector d_ij
// and add it to feat_dist
for (k = 0; k < feat_dim; k++) {
feat_i = feat[feat_offi + k];
feat_j = feat[feat_offj + k];
feat_dist += (feat_i - feat_j) * (feat_i - feat_j);
}
// get the k-th element of difference vector f_ij
// and add it to pos_dist
for (k = 0; k < pos_dim; k++) {
pos_i = pos[pos_offi + k];
pos_j = pos[pos_offj + k];
pos_dist += (pos_i - pos_j) * (pos_i - pos_j);
}
dev_w[i + j * n_patch]
= exp( -feat_dist / (feat_dim * par0 * par0))
* exp( -pos_dist / (pos_dim * par1 * par1));
} |
9,831 | /*
* Parallel Implementaion of Hough Transform for Circle Detection in images
*
* by Luke Shafer
* https://github.com/lukeshafer/parallel_project
*
* nvcc shafer_project.cu -lm -lGL -lGLU -lglut
*/
#include <iostream>
#include <stdio.h>
#include <math.h>
#include <fstream>
#include "cuda_runtime.h"
#include "cuda.h"
#define XDIM 101
#define YDIM 101
#define RMAX 142
using namespace std;
__global__ void hough ( int *in , int *rank) {
int x = blockIdx.x;
int y = blockIdx.y;
if ( in[x+XDIM*y] != 0 ) {
for (int a = 0; a < XDIM; a++) {
for (int b = 0; y < YDIM; y++) {
int i = sqrt( pow(x-a,2) + pow(x-b,2) );
rank[x+XDIM*y+XDIM*YDIM+i]++;
}
}
}
}
int main( void ) {
string input_file = "MoonOriginal.png";
int input[XDIM][YDIM]; // test example
int *dev_in;
int rank[XDIM][YDIM][RMAX] = {0};
int *dev_rank;
//allocate GPU memory
cudaMalloc( (void**)&dev_in, XDIM * YDIM * sizeof(int) );
cudaMalloc( (void**)&dev_rank, XDIM * YDIM * RMAX * sizeof(int) );
// Generate circle using CPU. Ideally would be replaced with actual input image
int cx = round(XDIM/2); // center of circle
int cy = round(YDIM/2);
int r = 40; //value must be hard-coded
ofstream outfile("output.csv");
if (outfile.is_open()) {
for (int y=0; y<XDIM; y++) {
for (int x=0; x<YDIM; x++) {
if ( round( sqrt( pow((x-cx),2) + pow((y-cx),2) ) ) == r ) {
input[x][y] = 255;
} else {
input[x][y] = 0;
}
outfile << input[x][y] << ",";
}
outfile << "\n";
}
outfile.close();
} else printf("Unable to open file");
// At this point, we have our circle image as a 2d array of integers
// copy input to GPU memory
cudaMemcpy( dev_in, input, XDIM * YDIM * sizeof(int),
cudaMemcpyHostToDevice );
cudaMemcpy( dev_rank, rank, XDIM * YDIM * RMAX * sizeof(int),
cudaMemcpyHostToDevice );
dim3 grid(XDIM,YDIM);
hough<<<grid,1>>>(dev_in, dev_rank);
cudaFree( dev_in );
cudaFree( dev_rank );
return 0;
}
|
9,832 | #include <stdio.h>
#include <stdlib.h>
const unsigned int N_FIB = 12;
const unsigned int N_BYTES_FIB = N_FIB * sizeof(unsigned int);
const unsigned int N_THREAD = N_FIB;
unsigned int N_ELEM, N_BYTES_ARR, N_BLOCKS;
__constant__ unsigned int fib_const[N_FIB];
__device__ static unsigned int fib_gmem[N_FIB];
/* Print array of integers, 20 elements per line */
void printArray(unsigned int * a, const char* name, const unsigned int n) {
printf("Printing %s array:", name);
for (int i = 0; i < n; i++) {
if (i%20 == 0) {
printf("\n");
}
printf("%5u", a[i]);
}
printf("\n");
}
__host__ cudaEvent_t get_time(void) {
cudaEvent_t time;
cudaEventCreate(&time);
cudaEventRecord(time);
return time;
}
// Generate random integer array between 0 and 9
void genRandArray(unsigned int *arr, const unsigned int n) {
for (int i = 0; i < n; i++) {
arr[i] = rand() % 10;
}
}
// Generate fibonacci sequence
void genFibSequence(unsigned int* arr, int nMax) {
arr[0] = 1;
arr[1] = 1;
for (int n=2; n < nMax; n++) {
arr[n] = arr[n-1] + arr[n-2];
}
}
__global__ void calc_w_const(unsigned int * const inArr, unsigned int *outArr,
unsigned int const N) {
const unsigned int idx = (blockIdx.x * blockDim.x) + threadIdx.x;
if (idx < N) {
outArr[idx] = 0; // initialize 0
for (int i=(idx%2); i<N_FIB; i+=2) { // add up all even/odd elements
outArr[idx] += fib_const[i];
}
outArr[idx] *= inArr[idx];
}
}
__global__ void calc_w_gmem(unsigned int * const inArr, unsigned int *outArr,
unsigned int const N) {
const unsigned int idx = (blockIdx.x * blockDim.x) + threadIdx.x;
if (idx < N) {
outArr[idx] = 0; // initialize 0
for (int i=(idx%2); i<N_FIB; i+=2) { // add up all even/odd elements
outArr[idx] += fib_gmem[i];
}
outArr[idx] *= inArr[idx];
}
}
__global__ void calc_w_shared(unsigned int * const inArr, unsigned int *outArr,
unsigned int const *inFib, unsigned int const N) {
__shared__ unsigned int tmpSum[N_FIB]; // shared memory, size = nThreads
const unsigned int tid = threadIdx.x;
tmpSum[tid] = inFib[tid]; // initialize to same as fib sequence
__syncthreads();
if (tid < 2) { // add up all even or odd elements
for (int s=tid+2; s<blockDim.x; s+=2) { // start from elem 2 or 3
tmpSum[tid] += tmpSum[s];
}
}
__syncthreads();
const unsigned int idx = (blockIdx.x * blockDim.x) + threadIdx.x;
if (idx < N) {
outArr[idx] = inArr[idx] * tmpSum[idx%2]; // perform multiplication
}
}
void validate_output(unsigned int *o1, unsigned int *o2, unsigned int *o3) {
bool div = false;
for (unsigned int n=0; n<N_ELEM && !div ; n++) {
if ( (o1[n] != o2[n]) || (o2[n] != o3[n]) ) {
div = true;
printf("idx=%u: %u, %u, %u\n", n, o1[n], o2[n], o3[n]);
}
}
if (!div) {
printf("Results for all three runs are the identical!\n");
} else {
printf("Some results are different...\n");
}
}
int main(int argc, char* argv[]) {
if (argc != 2) { // expect 1 cmd line args: [arraySizeExponent]
printf("Usage: %s [arraySizeExponent].\n", argv[0]);
return EXIT_FAILURE;
}
unsigned int N_ELEM = 2 << atoi(argv[1]); // n input array
unsigned int N_BYTES_ARR = N_ELEM * sizeof(unsigned int);
unsigned int N_BLOCKS = (N_ELEM + N_THREAD-1) / N_THREAD;
printf("Running with %u elements in input array...\n", N_ELEM);
unsigned int *h_in, *h_out1, *h_out2, *h_out3, *h_fib;
unsigned int *d_in, *d_out, *d_fib;
h_fib = (unsigned int*) malloc(N_BYTES_FIB); // initialize fibonacci
genFibSequence(h_fib, N_FIB); // generate fibonacci sequence
h_in = (unsigned int*) malloc(N_BYTES_ARR); // allocate input
genRandArray(h_in, N_ELEM); // generate random input array
h_out1 = (unsigned int*) malloc(N_BYTES_ARR); // allocate output 1
h_out2 = (unsigned int*) malloc(N_BYTES_ARR); // allocate output 2
h_out3 = (unsigned int*) malloc(N_BYTES_ARR); // allocate output 3
cudaMallocHost((void**)&d_in, N_BYTES_ARR); // allocate input
cudaMallocHost((void**)&d_out, N_BYTES_ARR); // allocate output
cudaMallocHost((void**)&d_fib, N_BYTES_FIB); // allocate output
cudaMemcpy(d_in, h_in, N_BYTES_ARR, cudaMemcpyHostToDevice); // copy 2 dev
// Timing using constant memory to store Fibonacci sequence
cudaEvent_t start1 = get_time(); // start time
cudaMemcpyToSymbol(fib_const, h_fib, N_BYTES_FIB); // copy to constant
calc_w_const<<<N_BLOCKS, N_THREAD>>>(d_in, d_out, N_ELEM);
cudaMemcpy( h_out1, d_out, N_BYTES_ARR, cudaMemcpyDeviceToHost );
cudaEvent_t stop1 = get_time(); // stop time
cudaEventSynchronize(stop1);
// Timing using global memory to store Fibonacci sequence
cudaEvent_t start2 = get_time(); // start time
cudaMemcpyToSymbol(fib_gmem, h_fib, N_BYTES_FIB); // copy to global mem
calc_w_gmem<<<N_BLOCKS, N_THREAD>>>(d_in, d_out, N_ELEM);
cudaMemcpy( h_out2, d_out, N_BYTES_ARR, cudaMemcpyDeviceToHost );
cudaEvent_t stop2 = get_time(); // stop time
cudaEventSynchronize(stop2);
// Timing using shared memory to smartly calculate
cudaEvent_t start3 = get_time(); // start time
cudaMemcpy(d_fib, h_fib, N_BYTES_FIB, cudaMemcpyHostToDevice); //copy 2 dev
calc_w_shared<<<N_BLOCKS, N_THREAD>>>(d_in, d_out, d_fib, N_ELEM);
cudaMemcpy(h_out3, d_out, N_BYTES_ARR, cudaMemcpyDeviceToHost );
cudaEvent_t stop3 = get_time(); // stop time
cudaEventSynchronize(stop3);
// Checking that the results of the three runs are identical
validate_output(h_out1, h_out2, h_out3);
// Free memory
cudaFree(d_in); cudaFree(d_out); cudaFree(d_fib);
free(h_in); free(h_out1); free(h_out2); free(h_out3); free(h_fib);
// Printing time benchmarks
float tmp = 0;
cudaEventElapsedTime(&tmp, start1, stop1);
printf("\tUsing constant memory: elapsed %.3f ms\n", tmp);
cudaEventElapsedTime(&tmp, start2, stop2);
printf("\tUsing global memory: elapsed %.3f ms\n", tmp);
cudaEventElapsedTime(&tmp, start3, stop3);
printf("\tUsing shared memory: elapsed %.3f ms\n", tmp);
printf("\n");
} |
9,833 | //Calculo de la FFT 2D
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <cufft.h>
#define RENGLONES 3
#define COLUMNAS 6
int main()
{
int i,j;
int n[2] = {COLUMNAS,RENGLONES};
int inembed[2] = {COLUMNAS,RENGLONES};
int onembed[2] = {COLUMNAS,RENGLONES};
cuFloatComplex *h_xn;
cuFloatComplex *h_Xk;
cufftComplex *in,*out;
//Se reserva memoria para h_xn en el host
h_xn = (cuFloatComplex*)malloc(sizeof(cuFloatComplex)*RENGLONES*COLUMNAS);
//Se reserva memoria para h_Xk en el host
h_Xk = (cuFloatComplex*)malloc(sizeof(cuFloatComplex)*RENGLONES*COLUMNAS);
//Se dan valores a x[n]
for(i=0;i<RENGLONES;i++)
{
for(j=0;j<COLUMNAS;j++)
{
//h_xn[i] = make_cuFloatComplex((float)(rand()%11),(float)(rand()%21));
h_xn[(i*COLUMNAS)+j] = make_cuFloatComplex((float)(((i*COLUMNAS)+j) + 1),(float)(0.0));
}
}
//Se imprimen los valores de entrada x[n]
printf("\n---ELEMENTOS DE ENTRADA x[n]---\n\n");
for(i=0;i<RENGLONES;i++)
{
for(j=0;j<COLUMNAS;j++)
{
printf(" (%f) + (%f) ",cuCrealf(h_xn[(i*COLUMNAS)+j]),cuCimagf(h_xn[(i*COLUMNAS)+j]));
}
printf("\n");
}
//Se reserva memoria para "in" en el device
cudaMalloc((void**)&in,sizeof(cufftComplex)*RENGLONES*COLUMNAS);
//Se reserva memoria para "out" en el device
cudaMalloc((void**)&out,sizeof(cufftComplex)*RENGLONES*COLUMNAS);
//Se copian los datos de h_xn >>> in
cudaMemcpy(in,h_xn,sizeof(cuFloatComplex)*RENGLONES*COLUMNAS,cudaMemcpyHostToDevice);
//CUFFT plan
cufftHandle plan;
cufftPlanMany(&plan,2,n,inembed,COLUMNAS,1,onembed,COLUMNAS,1,CUFFT_C2C,COLUMNAS);
//Ejecucion de la fft
cufftExecC2C(plan,in,out,CUFFT_FORWARD);
//Se copian los datos de out >>> h_Xk
cudaMemcpy(h_Xk,out,sizeof(cufftComplex)*RENGLONES*COLUMNAS,cudaMemcpyDeviceToHost);
//Se imprimen los valores de salida X[k]
printf("\n---ELEMENTOS DE SALIDA X[k]---\n\n");
for(i=0;i<RENGLONES;i++)
{
for(j=0;j<COLUMNAS;j++)
{
printf(" (%f) + (%f) ",cuCrealf(h_Xk[(i*COLUMNAS)+j]),cuCimagf(h_Xk[(i*COLUMNAS)+j]));
}
printf("\n");
}
//Se destruye el plan
cufftDestroy(plan);
//Se liberan memorias
free(h_xn);
free(h_Xk);
cudaFree(in);
cudaFree(out);
}
|
9,834 | #include "includes.h"
__global__ void MergeRank(float * d_input, float * d_output)
{
int indexA = blockIdx.x * blockDim.x + threadIdx.x;
int indexB = indexA + 2048;
float temp1 = d_input[indexA];
float temp2 = d_input[indexB];
int indexAB = 2048;
while (d_input[indexAB] < temp1) {
indexAB++;
}
int indexBA = 0;
while (d_input[indexBA] < temp2) {
indexBA++;
}
__syncthreads();
d_output[indexA + indexAB + 1] = temp1;
d_output[indexB + indexBA + 1] = temp2;
} |
9,835 | #include "CudaTest.cuh"
__device__ int modulo(int a, int b){
int r = a%b;
return r< 0 ? r + b : r;
}
__global__ void CalculateDerivative(unsigned int N, fptype* derivative, fptype* mass, fptype* val, unsigned int* ia, unsigned int* ja, unsigned int* map){
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < N; i+= stride ){
derivative[map[i]] = -mass[map[i]];
for(unsigned int j = ia[i]; j < ia[i+1]; j++)
derivative[map[i]] += val[j]*mass[map[ja[j]]];
}
}
__global__ void EulerStep(unsigned int N, unsigned int n_div, fptype* derivative, fptype* mass, fptype timestep, fptype rate)
{
fptype multiplier = rate*timestep/static_cast<fptype>(n_div);
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < N; i+= stride ){
mass[i] += derivative[i]*multiplier;
}
}
__global__ void MapReversal(unsigned int n_reversal, unsigned int* rev_from, unsigned int* rev_to, fptype* rev_alpha, fptype* mass, unsigned int* map)
{
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < n_reversal; i+= stride){
fptype m = mass[map[rev_from[i]]];
mass[map[rev_from[i]]] = 0.;
mass[map[rev_to[i]]] += m;
}
}
__global__ void MapReset(unsigned int n_reset, unsigned int* res_from, unsigned int* res_to, fptype* res_alpha, fptype* mass, unsigned int* map, float* rate)
{
// run as a single kernel, this function does reduction of the firing rate
fptype sum = 0;
for (int i = 0; i < n_reset; i++){
fptype m = res_alpha[i]*mass[map[res_from[i]]];
mass[map[res_to[i]]] += m;
sum += m;
}
*rate = sum;
}
__global__ void MapFinish(unsigned int n_reset, unsigned int* res_from, fptype* mass, unsigned int* map){
for (int i = 0; i < n_reset; i++)
mass[map[res_from[i]]] = 0.;
}
__global__ void Remap(int N, unsigned int* i_1, unsigned int t, unsigned int *map, unsigned int* first, unsigned int* length)
{
unsigned int i_start = *i_1;
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < N; i+= stride)
if (i >= i_start)
map[i] = modulo((i - t - first[i]),length[i]) + first[i];
}
|
9,836 | #include <cuda.h>
#include <assert.h>
#include <stdio.h>
// this method rewinds a matrix
template <int batch_per_block>
__global__ static void _cwc_kern_reorder_matrix_major_per_block_rows(float* a, float* b, const int count, const int channels, const int batch)
{
const int thidx = blockIdx.y * batch_per_block + threadIdx.y;
b[(blockIdx.y * count + blockIdx.x) * channels * batch_per_block + threadIdx.y * channels + threadIdx.x] = a[(threadIdx.x * count + blockIdx.x) * batch + thidx];
}
// this method rewinds a matrix
template <int channel_per_block, int batch_per_block, int batch_group_per_block>
__global__ static void _cwc_kern_reorder_matrix_major_per_block(float* a, float* b, const int count, const int channels, const int batch)
{
const int batch_group_idx = blockIdx.y % (batch / (batch_per_block * batch_group_per_block));
const int channel_group_idx = blockIdx.y / (batch / (batch_per_block * batch_group_per_block));
a += (channel_group_idx * channel_per_block * count + blockIdx.x) * batch + batch_group_idx * batch_per_block * batch_group_per_block;
b += (batch_group_idx * batch_group_per_block * count + blockIdx.x) * channels * batch_per_block + channel_group_idx * channel_per_block;
__shared__ float prod[channel_per_block][batch_per_block * batch_group_per_block];
int i, j;
#pragma unroll
for (i = 0; i < channel_per_block; i++)
prod[i][threadIdx.x] = a[i * count * batch + threadIdx.x];
__syncthreads();
if (threadIdx.x < channel_per_block)
#pragma unroll
for (i = 0; i < batch_group_per_block; i++)
#pragma unroll
for (j = 0; j < batch_per_block; j++)
b[(i * count * batch_per_block + j) * channels + threadIdx.x] = prod[threadIdx.x][i * batch_per_block + j];
}
int main(int argc, char** argv)
{
float* in = 0;
float* out = 0;
cudaMalloc(&in, sizeof(float) * (225 * 225 * 3 * 256));
cudaMalloc(&out, sizeof(float) * (111 * 111 * 96 * 256));
float* in_host = 0;
float* out_host = 0;
int i, j, c, k;
cudaMallocHost(&in_host, sizeof(float) * 225 * 225 * 3 * 256);
for (i = 0; i < 225; i++)
for (j = 0; j < 225; j++)
for (c = 0; c < 3; c++)
for (k = 0; k < 128; k++)
in_host[i * 225 * 3 * 128 + j * 3 * 128 + c * 128 + k] = c * k;
cudaMemcpy(in, in_host, sizeof(float) * 225 * 225 * 3 * 128, cudaMemcpyHostToDevice);
cudaMallocHost(&out_host, sizeof(float) * 111 * 111 * 96 * 128);
for (i = 0; i < 111; i++)
for (j = 0; j < 111; j++)
for (c = 0; c < 96; c++)
for (k = 0; k < 128; k++)
out_host[i * 111 * 96 * 128 + j * 96 * 128 + c * 128 + k] = c * k;
cudaMemcpy(out, out_host, sizeof(float) * 111 * 111 * 96 * 128, cudaMemcpyHostToDevice);
float* chin = 0;
float* chout = 0;
cudaMalloc(&chin, sizeof(float) * (225 * 225 * 3 * 256));
cudaMalloc(&chout, sizeof(float) * (111 * 111 * 96 * 256));
_cwc_kern_reorder_matrix_major_per_block_rows
<8>
<<<dim3(225 * 225, 128 / (8 * 2)), dim3(3, 8)>>>
(in, chin, 225 * 225, 3, 128);
_cwc_kern_reorder_matrix_major_per_block
<3, 8, 2>
<<<dim3(225 * 225, 128 / (8 * 2)), 16, sizeof(float) * 3 * 8 * 2>>>
(in, chin, 225 * 225, 3, 128);
_cwc_kern_reorder_matrix_major_per_block
<16, 8, 2>
<<<dim3(111 * 111, (96 / 16) * (128 / (8 * 2))), 16, sizeof(float) * 16 * 8 * 2>>>
(out, chout, 111 * 111, 96, 128);
cudaFree(out);
cudaFree(in);
cudaFreeHost(out_host);
cudaFreeHost(in_host);
return 0;
}
|
9,837 | #include <iostream>
#include <chrono>
// helper functions for cleaner time measuring code
std::chrono::time_point<std::chrono::high_resolution_clock> now() {
return std::chrono::high_resolution_clock::now();
}
template <typename T>
double milliseconds(T t) {
return (double) std::chrono::duration_cast<std::chrono::nanoseconds>(t).count() / 1000000;
}
// gpu kernel function
__global__
void addKernel(double* x, double* y, int n) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < n; i += stride)
y[i] = x[i] + y[i];
}
extern "C"
double* addVectorsGPU(double* a, double* b, int n) {
auto t1 = now();
double* x;
double* y;
double* z;
cudaMalloc(&x, n * sizeof(double));
cudaMalloc(&y, n * sizeof(double));
cudaMemcpy(x, a, n * sizeof(double), cudaMemcpyHostToDevice);
cudaMemcpy(y, b, n * sizeof(double), cudaMemcpyHostToDevice);
auto t2 = now();
cudaDeviceProp deviceProp;
cudaGetDeviceProperties(&deviceProp, 0);
int blockSize = deviceProp.maxThreadsPerBlock;
int numBlocks = (n - 1) / blockSize + 1;
addKernel<<<numBlocks, blockSize>>>(x, y, n);
cudaDeviceSynchronize();
auto t3 = now();
z = (double*) malloc(n * sizeof(double));
cudaMemcpy(z, y, n * sizeof(double), cudaMemcpyDeviceToHost);
cudaFree(x);
cudaFree(y);
auto t4 = now();
std::cout << "GPU time breakdown--------\n";
std::cout << "loading into device memory: " << milliseconds(t2 - t1) << " milliseconds\n";
std::cout << "actual addition: " << milliseconds(t3 - t2) << " milliseconds\n";
std::cout << "loading into host memory: " << milliseconds(t4 - t3) << " milliseconds\n";
return z;
}
|
9,838 | #include <iostream>
#include <chrono>
#include <random>
#include <math.h>
#define CHECK(call) \
{ \
const cudaError_t error = call; \
if (error != cudaSuccess) \
{ \
fprintf(stderr, "Error: %s:%d, ", __FILE__, __LINE__); \
fprintf(stderr, "code: %d, reason: %s\n", error, \
cudaGetErrorString(error)); \
} \
}
void dot(float *a, float *b, float *y, int n){
for(int i = 0; i < n; ++i)
{
for(int j = 0; j < n; ++j)
{
double r = 0;
for(int k = 0; k < n; ++k)
{
r += a[i*n+k] * b[k*n+j];
}
y[i*n+j] = abs(r)<0.001?0: r;
}
}
}
void inputArray(float *a, int n){
for(int i=0;i<n*n;++i){
std::cin >> a[i];
}
}
void showArray(float *a, int n){
for(int i=0;i<n;++i){
for(int j=0;j<n;++j){
std::cout<<a[i*n+j]<<" ";
}
std::cout<<std::endl;
}
}
__global__ void mkide(float *a, int n){
int index = blockIdx.x * blockDim.x + threadIdx.x;
a[index*n+index] = 1;
}
__global__ void divRow(float *a, float *b, float *s, int n, int i){
int index = blockIdx.x * blockDim.x + threadIdx.x;
if(index<n){
// printf("%d\n", index);
// printf("%f\n", b[i*n+index]);
float t = a[i*n+i];
a[i*n+index] /= t;
b[i*n+index] /= t;
s[index] = a[index * n + i];
// printf("%f %f\n", b[i*n+index], a[i*n+i]);
}
}
// __global__ void GaussElimination(float *a, float *b, int n, int i){
// int index = blockIdx.x * blockDim.x + threadIdx.x;
// if(index != i && index < n){
// float t = a[index*n+i];
// for(int k = 0; k < n; ++k){
// a[index*n+k] -= a[i*n+k]*t;
// b[index*n+k] -= b[i*n+k]*t;
// }
// }
// }
__global__ void GaussElimination(float *a, float *b, float *t, int n, int i){
//-- a?b[i*n:i*n+k]はキャッシュorシェアード --、tはコンスタントメモリを使うべき?
//無駄になるスレッド多いし要修正
int col = blockIdx.x;
int row = blockIdx.y*blockDim.x + threadIdx.x;
// if(col >= n || row >= n || i == col || i == row) return;
if(row >= n || i == col) return;
// printf("%d %d %d\n", col, row, blockDim.x);
int index = col * n + row;
// printf("%d %f %f\n", index, a[index], t[col]);
// a[index*n+k] -= __ldg(a[i*n+k])*t[col];
// b[index*n+k] -= __ldg(b[i*n+k])*t[col];
a[index] -= a[i*n+row]*t[col];
b[index] -= b[i*n+row]*t[col];
}
__constant__ float t[10000];
__host__ void GaussJordanGpuOptimize(float *a, float *b, int n){
int blockSize = n/32 + (n%32 ? 1 : 0);
printf("blockSize %d\n",blockSize);
mkide<<<blockSize,32>>>(b, n);
cudaDeviceSynchronize();
// for(int i = 0; i < n; ++i){
// b[i*n+i] = 1;
// }
dim3 thread(32);
dim3 block(n, n/32 + (n%32 ? 1 : 0));
printf("%d, %d, %d\n", n, n/32 + (n%32 ? 1 : 0), 32);
float *s;
cudaMalloc(&s, sizeof(float)*n);
for(int i = 0;i<n; ++i){
int in = i*n;
// std::cout<<i<<" "<<in<<" "<<&a[in]<<" "<<&b[in]<<std::endl;
// std::cout<<thread.x<<" "<<thread.y<<" "<<thread.z<<std::endl;
// std::cout<<block.x<<" "<<block.y<<" "<<block.z<<std::endl;
divRow<<<blockSize, thread>>>(a, b, s, n, i);
cudaDeviceSynchronize();
// cudaMemcpyToSymbol(t, &a[in], n, cudaMemcpyDeviceToDevice);
GaussElimination<<<block, thread>>>(a, b, s, n, i);
CHECK(cudaDeviceSynchronize());
}
}
// __global__ void GaussJordanGpuOptimize(float *a, float *b, int n){
// int index = blockIdx.x * blockDim.x + threadIdx.x;
// if(index>=n)return;
// a[index*n+index] = 1;
// __syncthreads();
// for(int i = 0;i<n; ++i){
// int in = i*n;
// float t = a[in+i];
// a[in+index] /= t;
// b[in+index] /= t;
// __syncthreads();
// for(int j=0;j<n;++j){
// if(j != i){
// float t = a[j*n+i];
// a[j*n+index] -= a[in+index]*t;
// b[j*n+index] -= b[in+index]*t;
// }
// }
// __syncthreads();
// }
// }
__global__ void GaussJordanGpu(float *a, float *b, int n){
for(int i = 0; i < n; ++i){
b[i*n+i] = 1;
}
for(int i = 0; i < n; ++i){
float t = a[i*n+i];
for(int j = 0; j < n; ++j){
a[i*n+j] /= t;
b[i*n+j] /= t;
}
for(int j = 0; j < n; ++j){
if(i != j){
float t = a[j*n+i];
for(int k = 0; k < n; ++k){
a[j*n+k] -= a[i*n+k]*t;
b[j*n+k] -= b[i*n+k]*t;
}
}
}
}
}
void GaussJordan(float *a, float *b, int n){
for(int i = 0; i < n; ++i){
b[i*n+i] = 1;
}
for(int i = 0; i < n; ++i){
float t = a[i*n+i];
for(int j = 0; j < n; ++j){
a[i*n+j] /= t;
b[i*n+j] /= t;
}
for(int j = 0; j < n; ++j){
if(i != j){
float t = a[j*n+i];
for(int k = 0; k < n; ++k){
a[j*n+k] -= a[i*n+k]*t;
b[j*n+k] -= b[i*n+k]*t;
}
}
}
}
}
int main(){
int n = 1000;
// std::cin>>n;
std::chrono::system_clock::time_point start, end;
std::mt19937 mt(982359349);
std::uniform_real_distribution<> MyRand(-1.0, 1.0);
float *ref = (float*)calloc(n*n, sizeof(float));
for(int i = 0;i<n*n;i++){
ref[i] = MyRand(mt);
// std::cout<<ref[i]<<" ";
}
std::cout<<std::endl;
float *a, *b;
// *a = (float*)calloc(n*n, sizeof(float));
// *b = (float*)calloc(n*n, sizeof(float));
cudaMalloc(&a, n*n*sizeof(float));
cudaMalloc(&b, n*n*sizeof(float));
float *buf = (float*)calloc(n*n, sizeof(float));
float *a_ = (float*)calloc(n*n, sizeof(float));
float *b_ = (float*)calloc(n*n, sizeof(float));
float *y_ = (float*)calloc(n*n, sizeof(float));
// cudaMallocManaged(&a, n*n*sizeof(float));
// cudaMallocManaged(&b, n*n*sizeof(float));
for(int i = 0;i<n*n;i++){
a_[i] = MyRand(mt);
// std::cout<<ref[i]<<" ";
}
// float *a;
// CHECK(cudaMallocManaged(&a, n*n*sizeof(float)));
// float *b;
// CHECK(cudaMallocManaged(&b, n*n*sizeof(float)));
// for(int j = 10;j<=10000;j*=10){
// for(int i=1;i<10;++i){
// int N = j*i;
// int blockSize = N/32 + (N%32 ? 1 : 0);
// cudaMemcpy(ref, a, n*n*sizeof(float), cudaMemcpyHostToDevice);
// start = std::chrono::system_clock::now();
// // GaussJordan(a, b, N);
// GaussJordanGpuOptimize(a, b, N);
// // GaussJordanGpuOptimize<<<blockSize, 32>>>(a, b, N);
// cudaDeviceSynchronize();
// end = std::chrono::system_clock::now();
// double elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end-start).count();
// std::cout<<N<<"\t"<<elapsed<<std::endl;
// }
// }
// float *s;
// cudaMalloc(&s, sizeof(float)*n);
// dim3 thread(32);
// dim3 block(n, n/32 + (n%32 ? 1 : 0));
// cudaMemcpy(a, a_, n*n*sizeof(float), cudaMemcpyHostToDevice);
// GaussElimination<<<block, thread>>>(a, b, s, n, i);
// // std::cout<<"hoge"<<std::endl;
// // inputArray(a, n);
// // std::cout<<"hoge"<<std::endl;
cudaMemcpy(a, a_, n*n*sizeof(float), cudaMemcpyHostToDevice);
// showArray(a_, n);
GaussJordanGpuOptimize(a, b, n);
cudaDeviceSynchronize();
cudaMemcpy(buf, a, n*n*sizeof(float), cudaMemcpyDeviceToHost);
// showArray(buf, n);
cudaMemcpy(b_, b, n*n*sizeof(float), cudaMemcpyDeviceToHost);
// showArray(b_, n);
std::cout<<"meow"<<std::endl;
dot(a_, b_, y_, n);
double sum=0;
for(int i = 0;i<n*n;++i)sum+=buf[i];
std::cout<<sum<<std::endl;
sum = 0;
for(int i = 0;i<n*n;++i)sum+=y_[i];
std::cout<<sum<<std::endl;
// showArray(y_, n);
return 0;
} |
9,839 | #include <stdio.h>
#include <math.h>
#include <time.h>
__constant__ double params[4];
#define fabn(n) \
((long)(params[1] * (powf(params[2], n) - powf(params[3], n))))
__global__ static void fab(long *nums) {
nums[threadIdx.x] = fabn((double)threadIdx.x + 3);
}
/***** Begin *****/
int main()
{
int n;
scanf("%d", &n);
clock_t start = clock();
if (n == 1)
printf("1\n");
else if (n == 2)
printf("1 1\n");
else {
printf("1 1");
n -= 2;
double params_host[4] = {sqrt(5.0)};
params_host[1] = 1 / params_host[0];
params_host[2] = (1 + params_host[0]) / 2;
params_host[3] = (1 - params_host[0]) / 2;
cudaMemcpyToSymbol(params, params_host, sizeof(double) * 4);
long* nums;
cudaMalloc(&nums, sizeof(long) * n);
fab<<<1, n>>>(nums);
cudaDeviceSynchronize();
long* nums_host = (long*)malloc(sizeof(long) * n);
cudaMemcpy(nums_host, nums, sizeof(long) * n, cudaMemcpyDeviceToHost);
cudaFree(nums);
cudaFree(params);
for (int i = 0; i < n; i++)
printf(" %ld", nums_host[i]);
printf("\n");
free(nums_host);
}
printf("time: %lf\n", ((double)clock() - start) / CLOCKS_PER_SEC * 1000);
return 0;
}
/***** End *****/ |
9,840 | #include "stdio.h"
__global__ void add(int *a, int *b, int *c)
{
*c = *a + *b;
}
int main(void)
{
int a,b,c;
int *d_a, *d_b, *d_c;
int size = sizeof(int);
cudaMalloc((void**)&d_a, size);
cudaMalloc((void**)&d_b, size);
cudaMalloc((void**)&d_c, size);
a=3;
b=4;
cudaMemcpy(d_a, &a, size, cudaMemcpyHostToDevice);
cudaMemcpy(d_b, &b, size, cudaMemcpyHostToDevice);
add<<<1,1>>>(d_a,d_b,d_c);
cudaMemcpy(&c, d_c, size, cudaMemcpyDeviceToHost);
printf("%d + %d is %d\n", a, b, c);
cudaFree(d_a);
cudaFree(d_b);
cudaFree(d_c);
return 0;
}
|
9,841 | #include<stdio.h>
#include<cstdlib>
#include<cmath>
#include<iostream>
#include<fstream>
#include <numeric>
#include <curand.h>
#include <curand_kernel.h>
#include<thrust/device_vector.h>
#include<thrust/reduce.h>
#include<thrust/extrema.h>
#include <limits>
#include <cfloat>
#include <ctime>
#define D2H cudaMemcpyDeviceToHost
#define H2D cudaMemcpyHostToDevice
#define D2D cudaMemcpyDeviceToDevice
#define H2H cudaMemcpyHostToHost
using namespace std;
dim3 threads (128);
dim3 blocks (128);
int avg_timesh = pow(2,26)/threads.x/blocks.x;
int avg_stepsh = pow(2,10);
__constant__ int avg_times;
__constant__ int avg_steps;
__constant__ int intL;
__constant__ float L ,dx, z;
__constant__ float Va1,Vb1,Vc1;
__constant__ float Va2,Vb2,Vc2;
__constant__ float Va3,Vb3,Vc3;
__constant__ float epsilon;
float energy=0;
float zh=0;
const float Lh = 32.0;
const int intLh = int(Lh);
const float dxh = 1.0/32.0;
const int Nh = Lh/dxh;
__constant__ int N;
float densityh;
float Va1h,Vb1h,Vc1h;
float Va2h,Vb2h,Vc2h;
float Va3h,Vb3h,Vc3h;
float epsilonh;
int warm_up_step = pow(10,4);
void ini_parameter(int seed);
void initial_particle(float* particles,int* existh,int seed);
void MC_cpu_warmup(float* particlesh,int* existh,int steps,int seed);
void MC_gpu(float* particles,int* exist,int* density,float* result);
float cal_Vext_cpu (float x);
void display (float*rho,int i);
int main (void)
{
cudaDeviceReset();
cudaSetDevice(0);
int batch_size = pow(2,4);
ofstream fout("MC_parameter.dat");
ofstream fout2("MC_inform.dat");
fout<<Lh<<'\t'<<dxh<<'\t'<<batch_size<<endl;
for(int bat=0;bat<batch_size;bat++){
ini_parameter(bat*2+1);
fout2<<bat<<'\t'<<epsilonh<<'\t'<<zh<<endl;
float *particlesh = new float [intLh];
int *existh = new int [intLh];
float *particles,*avg_density_result;
int *avg_density,*exist;
cudaMalloc((void**)&particles,sizeof(float)*threads.x*blocks.x*intLh);
cudaMalloc((void**)&exist,sizeof(int)*threads.x*blocks.x*intLh);
cudaMalloc((void**)&avg_density,sizeof(int)*threads.x*blocks.x*Nh);
cudaMalloc((void**)&avg_density_result,sizeof(float)*Nh);
cudaMemset(particles,0,sizeof(float)*threads.x*blocks.x*intLh);
cudaMemset(exist,0,sizeof(int)*threads.x*blocks.x*intLh);
cudaMemset(avg_density,0,sizeof(int)*threads.x*blocks.x*Nh);
cudaMemset(avg_density_result,0,sizeof(float)*Nh);
initial_particle(particlesh,existh,bat+1);
MC_cpu_warmup(particlesh,existh,warm_up_step,bat+1);
for(int i =0;i<threads.x*blocks.x;i++)
{
MC_cpu_warmup(particlesh,existh,128,i*batch_size+bat);
cudaMemcpy(&particles[i*intLh],particlesh,sizeof(float)*intLh,H2D);
cudaMemcpy(&exist[i*intLh],existh,sizeof(float)*intLh,H2D);
}
cout<<"initial done"<<endl;
cout<<"total samples"<<'\t'<<avg_timesh*blocks.x*threads.x<<endl;
MC_gpu(particles,exist,avg_density,avg_density_result);
cout<<"gpu done"<<endl;
float *resulth= new float [Nh];
cudaMemcpy(resulth,avg_density_result,sizeof(float)*Nh,D2H);
display(resulth,bat);
free(particlesh);
free(resulth);
free(existh);
cudaFree(exist);
cudaFree(particles);
cudaFree(avg_density);
cudaFree(avg_density_result);
}
return 0;
}
void display (float*rho,int bat)
{
char* s = new char[100];
sprintf(s,"rho_%d.dat",bat);
char* s2 = new char[100];
sprintf(s2,"Vext_%d.dat",bat);
ofstream fout (s);
ofstream fout_V (s2);
for(int i=0;i<Nh;i++){
fout<<rho[i]/threads.x/blocks.x/avg_timesh<<endl;
fout_V<<cal_Vext_cpu(i*dxh)<<endl;
}
free(s);
free(s2);
}
void ini_parameter(int seed)
{
cudaMemcpyToSymbol(avg_times, &avg_timesh, sizeof(avg_timesh));
cudaMemcpyToSymbol(avg_steps, &avg_stepsh, sizeof(avg_stepsh));
cudaMemcpyToSymbol(N, &Nh, sizeof(Nh));
cudaMemcpyToSymbol(dx, &dxh, sizeof(dxh));
cudaMemcpyToSymbol(L, &Lh, sizeof(Lh));
cout<<"seed"<<'\t'<<seed<<endl;
srand(seed);
//cout<<"test"<<'\t'<<rand()<<endl;
Va1h = (float)rand()/(float)(RAND_MAX)*8-4;//-3:3
Vb1h = (float)rand()/(float)(RAND_MAX)*Lh/2+Lh/4;
Vc1h = (float)rand()/(float)(RAND_MAX/2)+1;
Va2h = (float)rand()/(float)(RAND_MAX)*8-4;//-3:3
Vb2h = (float)rand()/(float)(RAND_MAX)*Lh/2+Lh/4;
Vc2h = (float)rand()/(float)(RAND_MAX/2)+1;
Va3h = (float)rand()/(float)(RAND_MAX)*8-4;//-3:3
Vb3h = (float)rand()/(float)(RAND_MAX)*Lh/2+Lh/4;
Vc3h = (float)rand()/(float)(RAND_MAX/2)+1;
epsilonh = (float)rand()/(float)(RAND_MAX)*4+2; //0.5-1.5
zh = (float)rand()/(float)(RAND_MAX)*2+1; //0-3 exp(0)=1
/**/
//zh = 3;
//epsilonh=1.5;
//Vah = 1;
//Vbh = 8;
//Vch = 3;
/**/
//cout<<Vah<<'\t'<<Vbh<<'\t'<<Vch<<endl;
cudaMemcpyToSymbol(epsilon, &epsilonh, sizeof(Lh));
cudaMemcpyToSymbol(z, &zh, sizeof(zh));
cudaMemcpyToSymbol(intL, &intLh, sizeof(intLh));
cudaMemcpyToSymbol(Va1, &Va1h, sizeof(Va1h));
cudaMemcpyToSymbol(Vb1, &Vb1h, sizeof(Vb1h));
cudaMemcpyToSymbol(Vc1, &Vc1h, sizeof(Vc1h));
cudaMemcpyToSymbol(Va2, &Va2h, sizeof(Va2h));
cudaMemcpyToSymbol(Vb2, &Vb2h, sizeof(Vb2h));
cudaMemcpyToSymbol(Vc2, &Vc2h, sizeof(Vc2h));
cudaMemcpyToSymbol(Va3, &Va3h, sizeof(Va3h));
cudaMemcpyToSymbol(Vb3, &Vb3h, sizeof(Vb3h));
cudaMemcpyToSymbol(Vc3, &Vc3h, sizeof(Vc3h));
}
void initial_particle(float* particles,int* exist,int seed)
{
srand(seed);
for(int i=0;i<intLh;i++){
float x = (float)rand()/(float)(RAND_MAX)*Lh;
particles[i]=x;
x = (float)rand()/(float)(RAND_MAX)-0.5;
exist[i]=0;
//cout<<i<<'\t'<<particles[i]<<endl;
}
}
__device__ __host__ float Uij(float dissq)
{
return 4*(powf(1.0/dissq,6)-powf(1.0/dissq,3));
}
__device__ float cal_Vext_gpu (float x)
{
float V = 0;
V+=-Va1*expf(-powf((x-Vb1),2)/(2*Vc1*Vc1));
V+=-Va2*expf(-powf((x-Vb2),2)/(2*Vc2*Vc2));
V+=-Va3*expf(-powf((x-Vb3),2)/(2*Vc3*Vc3));
if(x<=1)return pow(10.0,8);
return V;
}
__device__ float dissq_gpu(float x1,float x2)
{
float Dx=fabsf(x1-x2);
if(Dx>L/2)Dx-=L;
return Dx*Dx;
}
__device__ float particle_energy_gpu(float this_particle ,int* exist,float* particles,int p)
{
float energy=0;
for(int j=0;j<intL;j++){
if(p!=j&&exist[j]==1){
float dissq = dissq_gpu(this_particle,particles[j]);
if(dissq<=1)return 100000000;
energy+=Uij(dissq)*epsilon;
}
}
energy+=cal_Vext_gpu(this_particle);
return energy;
}
__device__ int sum_tot(int* a)
{
int b=0;
for(int i=0;i<intL;i++)b+=a[i];
return b;
}
__device__ void cum_sum(int* a,int *b)
{
for(int i=0;i<intL;i++)a[i]=b[i];
for(int i=1;i<intL;i++)a[i]+=a[i-1];
}
__device__ void deletion_gpu(float* particle,int* exist,int*cum_exist,int MM,int Np,float dice)
{
//int Np = sum_tot(exist);//current particle number
//cum_sum(cum_exist,exist);
//int M=curand(&state)%(Np)+1;//choose Mth exist particle (neccesary)
for(int i=0;i<intL;i++)
{
if(exist[i]==1 && cum_exist[i]==MM)
//if(exist[i]==1)
{
float ene = -particle_energy_gpu(particle[i],exist,particle,i);
float prop = 1.0/L*Np/z*expf(-ene);
if(prop>1)exist[i]=0;
else{
//float dice = (curand_uniform(&state));
if(dice<prop)exist[i]=0;
}
break;
}
}
}
__device__ void insertion_gpu(float* particle,int* exist,int*cum_exist,float varL,int Np,float dice)
{
//int Np = sum_tot(exist);
for(int i=0;i<intL;i++)
{
if(exist[i]==0)
{
particle[i]=varL;
//printf("particle[i]=%f\n",particle[i]);
float ene = particle_energy_gpu(particle[i],exist,particle,i);
float prop = z*L/(Np+1)*expf(-ene);
if(prop>1)exist[i]=1;
else{
//float dice = (curand_uniform(&state));
if(dice<prop)exist[i]=1;
}
break;
}
}
}
// each thread hold one sub system
__global__ void MC_gpu_kernel(float* particles,int* exist,int*cum_exist,int* avg_density)
{
int idx = blockDim.x*blockIdx.x+threadIdx.x;
if(idx>=gridDim.x*blockDim.x){
printf("out!\n");
return;
}
curandState_t state;
curand_init(idx,idx*idx,idx*idx*idx,&state);
for(int iter=0;iter<avg_times;iter++){
for(int i=0;i<avg_steps;i++){
float prop = (curand_uniform(&state)-0.5);
int Np = sum_tot(&exist[idx*intL]);//current particle number
int M=idx*intL;
float dice = (curand_uniform(&state));
if(prop>0 && Np>0 ){
cum_sum(&cum_exist[M],&exist[M]);
int MM=curand(&state)%(Np)+1;//choose Mth exist particle (neccesary)
deletion_gpu(&particles[M],&exist[M],&cum_exist[M],MM,Np,dice);
}
if(prop<0 && Np<intL){
float varL =(curand_uniform(&state))*L;
insertion_gpu(&particles[M],&exist[M],&cum_exist[M],varL,Np,dice);
}
}
for(int i=0;i<intL;i++){
int position = __float2int_rn(particles[idx*intL+i]/dx);
position = position%N;
//printf("position=%d,x/dr=%f",position,particles[idx*intL+i]/dx);
if(exist[idx*intL+i]==1)avg_density[idx*N+position]+=1;
}
}
//printf("idx=%d,avg_density=%d\n",idx,avg_density[idx*N+N/2]);
}
//sum over column
__global__ void sum_density(int* density,float* result,int num_systems)
{
int idx = blockDim.x*blockIdx.x+threadIdx.x;
if(idx>=N)return;
for(int j=1;j<num_systems;j++)
{
density[idx]+=density[j*N+idx];
}
//printf("i=%d,density=%d\n",i,density[i]);
result[idx]= density[idx]/dx;
}
void MC_gpu(float* particles,int* exist,int* avg_density,float* result)
{
int* cum_exist;
cudaMalloc((void**)&cum_exist,sizeof(int)*threads.x*blocks.x*intLh);
MC_gpu_kernel<<<blocks,threads>>>(particles,exist,cum_exist,avg_density);
cudaDeviceSynchronize();
cout<<"gpu done"<<endl;
sum_density<<<(Nh+threads.x-1)/threads.x,threads>>>(avg_density,result,blocks.x*threads.x);
cudaDeviceSynchronize();
cout<<"avg done"<<endl;
cudaFree(cum_exist);
}
float cal_Vext_cpu (float x)
{
float V = 0;
V+=-Va1h*expf(-powf((x-Vb1h),2)/(2*Vc1h*Vc1h));
V+=-Va2h*expf(-powf((x-Vb2h),2)/(2*Vc2h*Vc2h));
V+=-Va3h*expf(-powf((x-Vb3h),2)/(2*Vc3h*Vc3h));
if(x<=1.0)V=pow(10,8);
return V;
}
float dissq_cpu(float x1,float x2)
{
float Dx=fabs(x1-x2);
if(Dx>Lh/2)Dx-=Lh;
return Dx*Dx;
}
float energy_cpu(float* particles,int *exist)
{
float energy=0;
for(int i=0;i<intLh;i++){
for(int j=0;j<intLh;j++){
if(i!=j && exist[i]*exist[j]==1){
float dissq = dissq_cpu(particles[i],particles[j]);
energy+=Uij(dissq)/2*epsilonh;
if(dissq<1)cout<<"overlapped!!!"<<endl;
}
}
}
for(int i=0;i<intLh;i++){
if(exist[i]==1)energy+=cal_Vext_cpu(particles[i]);
}
return energy;
}
float particle_energy_cpu(float this_particle ,int* exist,float* particles,int p)
{
float energy=0;
for(int j=0;j<intLh;j++){
if(p!=j && exist[j]==1 ){
float dissq = dissq_cpu(this_particle,particles[j]);
if(dissq<1) return pow(10,8);
energy+=Uij(dissq)*epsilonh;
}
}
energy+=cal_Vext_cpu(this_particle);
return energy;
}
void insertionh(float* particles,int* exist)
{
int N = accumulate(exist,exist+intLh,0);
for(int i=0;i<intLh;i++)
{
if(exist[i]==0)
{
particles[i]=(float)rand()/(float)(RAND_MAX)*Lh;
double ene = particle_energy_cpu(particles[i] ,exist,particles,i);
double prop = zh*Lh/(N+1)*exp(-ene);
if(prop>=1)exist[i]=1;
else{
float dice = (float)rand()/(float)(RAND_MAX);
if(dice<prop)exist[i]=1;
}
break;
}
}
}
void deletionh(float* particles,int* exist)
{
int *cum_exist = new int[intLh];
partial_sum (exist, exist+intLh, cum_exist);
int N = accumulate(exist,exist+intLh,0);
int M = (int)rand()%(N)+1;
for(int i=0;i<intLh;i++)
{
if(exist[i]==1 && cum_exist[i] == M)
{
double ene = -particle_energy_cpu(particles[i] ,exist,particles,i);
double prop = 1.0*N/Lh/zh*exp(-ene);
if(prop>=1)exist[i]=0;
else{
float dice = (float)rand()/(float)(RAND_MAX);
if(dice<prop){
exist[i]=0;
}
}
break;
}
}
free(cum_exist);
}
void MC_cpu_warmup(float* particles,int* exist,int steps,int seed)
{
//ofstream fout ("warmup.dat");
srand(seed+1);
//cout<<energy<<endl;
int sum_N=0;
int count=0;
for(int i =0;i<steps;i++){
srand(i);
float prop = (float)rand()/(float)(RAND_MAX)-0.5;
int N =accumulate(exist,exist+intLh,0);
if(prop>0 && N<intLh)insertionh(particles,exist);
else if(prop<0 && N>0)deletionh(particles,exist);
N =accumulate(exist,exist+intLh,0);
energy = energy_cpu(particles,exist);
if(i>1000){
sum_N+=N;
count++;
}
//cout<<i<<'\t'<<N<<'\t'<<energy<<endl;
}
//cout<<sum_N/count/Lh<<endl;
}
|
9,842 |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <math.h>
#include <stdio.h>
#define THREADCOUNT 1
#define BASE 10.0
#define EXP 9.0
cudaError_t addColumnsWithCuda(double * results, const double * const length);
__global__ void addColumnKernel(double * results, const double * const length)
{
int i = threadIdx.x;
results[i] = 0;
double shortPartCount = i * (*length) + 1;
double sqrt2PartCount = i;
double maxLength = (i + 1) * (*length);
while (shortPartCount <= maxLength) {
if (sqrt2PartCount * sqrt2PartCount >= shortPartCount * shortPartCount * 2)
{
shortPartCount += 1;
results[i] += sqrt2PartCount;
}
sqrt2PartCount++;
}
}
int main()
{
double fullLength = (double)pow(BASE, EXP);
printf("Full length: %f\n", fullLength);
double length = fullLength / THREADCOUNT;
printf("Thread length: %f\n", length);
double * results = (double *)malloc(THREADCOUNT * sizeof(double));
// Add vectors in parallel.
cudaError_t cudaStatus = addColumnsWithCuda(results, &length);
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "addColumnsWithCuda failed!");
return 1;
}
double result = 1;
for (int i = 0; i < THREADCOUNT; i++) {
result += results[i];
}
printf("Result: %f\n", result);
// cudaDeviceReset must be called before exiting in order for profiling and
// tracing tools such as Nsight and Visual Profiler to show complete traces.
cudaStatus = cudaDeviceReset();
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaDeviceReset failed!");
return 1;
}
return 0;
}
// Helper function for using CUDA to add vectors in parallel.
cudaError_t addColumnsWithCuda(double * results, const double * const length)
{
double * dev_results = 0;
double * dev_length = 0;
cudaError_t cudaStatus;
// Choose which GPU to run on, change this on a multi-GPU system.
cudaStatus = cudaSetDevice(0);
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaSetDevice failed! Do you have a CUDA-capable GPU installed?");
goto Error;
}
// Allocate GPU buffers for three vectors (two input, one output) .
cudaStatus = cudaMalloc((void**)&dev_results, THREADCOUNT * sizeof(double));
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaMalloc failed for dev_results!");
goto Error;
}
cudaStatus = cudaMalloc((void**)&dev_length, sizeof(double));
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaMalloc failed for dev_length!");
goto Error;
}
// Copy input vectors from host memory to GPU buffers.
cudaStatus = cudaMemcpy(dev_length, length, sizeof(double), cudaMemcpyHostToDevice);
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaMemcpy failed for dev_length!");
goto Error;
}
// Launch a kernel on the GPU with one thread for each element.
addColumnKernel<<< 1, THREADCOUNT >>>(dev_results, dev_length);
// Check for any errors launching the kernel
cudaStatus = cudaGetLastError();
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "addKernel launch failed: %s\n", cudaGetErrorString(cudaStatus));
goto Error;
}
// cudaDeviceSynchronize waits for the kernel to finish, and returns
// any errors encountered during the launch.
cudaStatus = cudaDeviceSynchronize();
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaDeviceSynchronize returned error code %d after launching addKernel!\n", cudaStatus);
fprintf(stderr, "The last error was: %s\n", cudaGetErrorString(cudaGetLastError()));
goto Error;
}
// Copy output vector from GPU buffer to host memory.
cudaStatus = cudaMemcpy(results, dev_results, THREADCOUNT * sizeof(double), cudaMemcpyDeviceToHost);
if (cudaStatus != cudaSuccess) {
fprintf(stderr, "cudaMemcpy failed results!");
goto Error;
}
Error:
cudaFree(dev_results);
cudaFree(dev_length);
return cudaStatus;
}
|
9,843 | #include "includes.h"
__global__ void update_with_all_exclude(int *clause_output, int *all_exclude)
{
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
// Initialize clause output
for (int j = index; j < CLAUSES; j += stride) {
if (all_exclude[j] == 1) {
clause_output[j] = 0;
}
}
} |
9,844 | float h_A[]= {
0.622858344426751, 0.9598707070951493, 0.6899579486599736, 0.9007419950378469, 0.8106863812428169, 0.7811426905668741, 0.8361004865744786, 0.8234488297539155, 0.6410563158412225, 0.6094050560282906, 0.6745921445923966, 0.6829905486726887, 0.5827662434815151, 0.7662599227928226, 0.6972649765467149, 0.5889234136574495, 0.6833283887294528, 0.6611749303099983, 0.7643193305448654, 0.6808351334546237, 0.9172149936890834, 0.8260091784548358, 0.8559111539738273, 0.5492773745275873, 0.9800252303790338, 0.5595739553968915, 0.9240642885024177, 0.8387271759272217, 0.686649253602494, 0.5740625622344508, 0.9710037786766768, 0.5597363657278958, 0.6108733550511423, 0.9961239209144648, 0.9892059655048011, 0.6542253032868854, 0.8611277192333178, 0.7938295679339774, 0.599237770871674, 0.9057169824855522, 0.7920046308861928, 0.9381201844210831, 0.5908678280048574, 0.8372265398740485, 0.9592948297146883, 0.5501288619621592, 0.9677678269875856, 0.7371986466940184, 0.6084928592375615, 0.8036573581695547, 0.53327761924098, 0.5886465077136473, 0.9621410438868252, 0.6618071017245284, 0.9525402503425984, 0.8496477097728208, 0.9853902527034444, 0.7548961335531721, 0.5667813943858561, 0.7596628772853948, 0.9442484506913958, 0.546856361572073, 0.5711302585951463, 0.5392872875449001, 0.7363060177530176, 0.8681001266495044, 0.7318097139380146, 0.8213041576641384, 0.7893565319546896, 0.884368076581147, 0.9778898681828279, 0.6683923121462587, 0.7422788944900636, 0.9421475961325372, 0.5471310412547659, 0.6317018117594355, 0.5697023674598236, 0.9398576568609369, 0.7222900244434458, 0.577705654009792, 0.741580469578216, 0.5059679194667992, 0.7345750051600636, 0.9023984046324979, 0.9703573653101811, 0.9252557947044677, 0.6057564545135418, 0.9259969083353057, 0.9569912244941283, 0.6152772012365971, 0.8842833466120892, 0.717227864213992, 0.707579629982668, 0.5653791613550087, 0.9976682947561828, 0.6905780184600261, 0.7087512178492117, 0.9428394509075054, 0.6021825270786074, 0.5340814365129173, 0.5721418878568161, 0.5789874819732168, 0.6514220776063864, 0.5895329813723229, 0.9614269174356407, 0.8010293386959808, 0.7480525876288515, 0.8214582824103354, 0.9755491268710781, 0.9556377607944098, 0.8607028411731223, 0.927233590196753, 0.5808160509127114, 0.7818742896364694, 0.9434648531287095, 0.9977200403260449, 0.7533509782290795, 0.5965036473970744, 0.5461319163657543, 0.7782681486711477, 0.8777784171196122, 0.6309451184233159, 0.9311715544845655, 0.8487326600276612, 0.8745980086704095, 0.5201962176428583, 0.7957595898037326, 0.8119565918083911, 0.6025737613925892, 0.6986077951285237, 0.8182830922256334, 0.72826927037717, 0.6254429518283462, 0.6449115722572103, 0.8439296837282695, 0.5699069695578407, 0.9465960622368808, 0.7669231332975694, 0.9440559246905542, 0.6725057612209544, 0.9324639282075222, 0.8753839927934939, 0.8485712928791491, 0.596383802156936, 0.9570191716846179, 0.8301596603316628, 0.5650885928458025, 0.8233970117622259, 0.8318311516890526, 0.9438242377806878, 0.9517219208905964, 0.5643301964161702, 0.9595343294459191, 0.8835168328124967, 0.6555509902926728, 0.5525763914116348, 0.8065742953302582, 0.6135866233776772, 0.8926586635098641, 0.846327978071674, 0.9412041023389741, 0.8153028772448025, 0.5755067650073777, 0.6912849428065078, 0.808618695916899, 0.8049810971240536, 0.5409178027198096, 0.9781685621273137, 0.7261863754635325, 0.6598014621376924, 0.8669019155026878, 0.7109359303616505, 0.8350214333631856, 0.9209510809913332, 0.6472660739412917, 0.6493516124361414, 0.9671965336498066, 0.8514049909566006, 0.7725123023449165, 0.6923662239999644, 0.7908475547276368, 0.7229674956007297, 0.5705934023418393, 0.6100489775377838, 0.5319482503476819, 0.8242296514557628, 0.8646676936285862, 0.6445868002677304, 0.6226155263044202, 0.8999026627752931, 0.8572432753839722, 0.9391365927000122, 0.673277805757671, 0.6160717468131349, 0.821259770566574, 0.811405702126208, 0.7085339345028866, 0.529521907249505, 0.9559299836039084, 0.7443378575647344, 0.6955997440664203, 0.7374449405561954, 0.829538808126822, 0.6947213249741206, 0.9821688239216617, 0.9378323937220596, 0.7333731454327723, 0.8155390129720004, 0.9023013578772641, 0.6049983657285334, 0.5133890254504162, 0.6484243707058337, 0.9600301496857822, 0.8876541673175644, 0.9794413480703762, 0.8016356366980832, 0.8357740017562842, 0.6283882995642114, 0.8102417207618717, 0.7089103878600829, 0.6090846786867181, 0.5285808654028928, 0.9941939545515744, 0.5318823100701193, 0.6864381065984451, 0.5036976072470145, 0.682322772988116, 0.6358173874682096, 0.8086201506656797, 0.5050606483462943, 0.6241498859792273, 0.7013601863632697, 0.8525709405936366, 0.7860563039503843, 0.51140999988894, 0.6450090261525256, 0.6004323857325354, 0.8974912078639707, 0.539512907610131, 0.665095851229073, 0.8806586875935352, 0.5918756406653667, 0.7972877610037357, 0.806839851452, 0.5184959366172379, 0.5138791368667088, 0.779786884355794, 0.5882191917119961, 0.5725140643798694, 0.559687623481972, 0.6776228092198872, 0.5177113601404177, 0.9191990981465898, 0.8114722631861697, 0.8874714730249996, 0.7330085878026938, 0.97530591609266, 0.7796704056399986, 0.6501933071930586, 0.5604681836794883, 0.5017012272224131, 0.6864123792385217, 0.6891322203488887, 0.98639706258752, 0.759713317075781, 0.7753873900196435, 0.7753192850262075, 0.8288671184874601, 0.5752685512458667, 0.7764293452316762, 0.5991690143926179, 0.5149257207859415, 0.8701000086328292, 0.8658535470823412, 0.8187145599202998, 0.9754896987713111, 0.7548970475753516, 0.6881542964073867, 0.5968437284332613, 0.5272437946780386, 0.7732710898877629, 0.8782489235819058, 0.867360522897267, 0.8388096069103712, 0.5453370302103784, 0.92823444553507, 0.9193737240531976, 0.5469231376205397, 0.8836100755297882, 0.7916592858092144, 0.6764768255461995, 0.9921790619826014, 0.9546055104504543, 0.892718151685665, 0.614550386279861, 0.6344307727496928, 0.5341421553235874, 0.5550101869010831, 0.6643687830437452, 0.8706606963268841, 0.6697231456743492, 0.5041429368288703, 0.5132537862710241, 0.5467532615551194, 0.8909517612054935, 0.6435828859950853, 0.5081452022302098, 0.7869203744559208, 0.6327837747958684, 0.7699190229609009, 0.6279506231451054, 0.8850877452657561, 0.8203027883366716, 0.8143168953439417, 0.8224823074103311, 0.5021333066632926, 0.731594494687198, 0.5017109896239229, 0.7469583104409712, 0.6145162834357012, 0.608984711423633, 0.9316594127976443, 0.6420214756229345, 0.9805323324486539, 0.7588399375756081, 0.7741304711901343, 0.6741418075218633, 0.6022856148945834, 0.5230371393723395, 0.9450821484406222, 0.5805021853771778, 0.9116855751688009, 0.53363841674182, 0.9479034128408665, 0.8155892402400265, 0.8165574312356499, 0.8845953151137265, 0.9296121444103622, 0.592236908743798, 0.72866385673952, 0.5235336582640038, 0.8305503267809407, 0.6277566475245349, 0.7349846526147213, 0.9044499473983383, 0.6974044499158769, 0.7170438333458908, 0.6683767378360794, 0.8780866402709464, 0.9990302097161712, 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0.9579452973606402, 0.6238326566098127, 0.6909706750425462, 0.6267333803497823, 0.5195514038704205, 0.9929052493055409, 0.574356850250295, 0.9869554274682133, 0.9019417183509449, 0.6741206623665797, 0.67303073166401, 0.6459742115324456, 0.5928017083725718, 0.9220094759808461, 0.9317909916706207, 0.9419291028243089, 0.8015408029585969, 0.6922447854381041, 0.7625150184721188, 0.9117311013378668, 0.8515011028790895, 0.6729899202847923, 0.5131780972277362, 0.7448836650073858, 0.9627056381318122, 0.5885071249822312, 0.6587140615332396, 0.9560469047369526, 0.9765592104143663, 0.9329016836008113, 0.9639525095329207, 0.8829582086594797, 0.9097530612157397, 0.9829663076931541, 0.6697067871345072, 0.8316648734697367, 0.6270460301161144, 0.5888065788851031, 0.904522682351937, 0.7261546173334947, 0.6819648752480749, 0.745525533806051, 0.9464335308405989, 0.5177992347052875, 0.5378251244843097, 0.6978136464170963, 0.5737467916486654, 0.8822388832497665, 0.7119689725022164, 0.7799237736576277, 0.9672163176127506, 0.8068641053719061, 0.7221724741714677, 0.6039995956238664, 0.6503280625943116, 0.8424385510592032, 0.7787371578984589, 0.6694211048774003, 0.953011369299527, 0.618066845348852, 0.9662863201272431, 0.7947039430383305, 0.9774309644143409, 0.6415358720764257, 0.5026898489241504, 0.8545966999295374, 0.5136284873256092, 0.9555264680286881, 0.6107048933919768, 0.6755929831408558, 0.9704058656039096, 0.9149835505505851, 0.6075925407234468, 0.5851612269252358, 0.9766718190154994, 0.9133860642600105, 0.7512273693423619, 0.5308120666931881, 0.6708147181055681, 0.6761976507442806, 0.8108420973412971, 0.6499794549742957, 0.7808114716830037, 0.9746330495600894, 0.8351554539011379, 0.587223858503612, 0.7289048059003311, 0.6157484668447639, 0.6094887756519773, 0.6984943236794239, 0.6050421426953707, 0.8220972514496397, 0.5298950259816888, 0.910129861518171, 0.824562681077263, 0.8415044992862466, 0.8187465987320612, 0.859554580817878, 0.9842953842954822, 0.8529019860505198, 0.93818806751729, 0.5512987840380683, 0.5287518402673428, 0.8815750383807297, 0.683239570707004, 0.6526669193365848, 0.9349254791739515, 0.88776527441492, 0.9879727600109122, 0.6948604147138513, 0.927005475435357, 0.9686479062052271, 0.8917270354292011, 0.5767582978828238, 0.7997998957068153, 0.6088851821711407, 0.7567894994202685, 0.606733303004076, 0.9953309984743339, 0.9490470586691864, 0.6742453139034932, 0.7070003659272704, 0.7943828812228915, 0.9896449794190845, 0.8628139456012718, 0.7852491986040873, 0.6905321472425656, 0.8508898669151332, 0.892484454636231, 0.78004472255803, 0.9274285881425509, 0.9105107824428406, 0.587871397150825, 0.7434134150883709, 0.742536134473851, 0.8759001165442946, 0.505075772622376, 0.9153549236377918, 0.7280781454203904, 0.7901654387609407, 0.5752211220473312, 0.6692299497345118, 0.8088535347427044, 0.6155399317837842, 0.9904139432493155, 0.543964805734195, 0.8913847840259048, 0.6831764171689425, 0.9956843482020883, 0.7088656369402864, 0.8964559359814914, 0.8289206804181889, 0.6187595714394212, 0.6677057557634685, 0.7293319649936804, 0.8914378415613204, 0.8488602920111237, 0.759701326351314, 0.5030885146185491, 0.6906417297052034, 0.595320137213687, 0.6906664948143062, 0.7211098906784099, 0.6514027730160348, 0.7395787396750202, 0.6529909600015477, 0.6474680307693357, 0.7424976704740643, 0.6024309895309639, 0.5703066386607858, 0.7913084458768829, 0.6122367652510813, 0.8468524150480773, 0.9765558457528417, 0.9381403535829815, 0.6373972043611402, 0.9526572346950302, 0.959113559796462, 0.9670816326368059, 0.9562837929947583, 0.5047711260057743, 0.6213381009083829, 0.806648642881589, 0.6443080817168805, 0.6531358556360344, 0.7174693484126419, 0.5099248722194014, 0.7669193888278671, 0.7600304922754484, 0.683673808019341, 0.99971741093634, 0.6846809404968413, 0.6152613635758233, 0.8273987161583471, 0.7005138534476663, 0.6973680288865605, 0.7382834982591285, 0.6723595305176878, 0.97070386219297, 0.9511553282437661, 0.6513876777857084, 0.7273607908583957, 0.6781433342438625, 0.8958717402316771, 0.8732014110752375, 0.887075948591344, 0.5162419970092144, 0.7445694816996811, 0.7143361927466465, 0.5869568888344396, 0.5198245701459883, 0.7661244172139424, 0.6338300346226031, 0.8871896141640332, 0.9920588476526646, 0.5651034498261717, 0.9975467321134933, 0.9011897858320721, 0.9755776814347065, 0.9314512603757137, 0.8034865267926878, 0.6142634231598794, 0.8926082551758159, 0.5550047796609437, 0.7518692124995352, 0.5317353678508248, 0.865702604146456, 0.90128636396832, 0.7181346004124416, 0.6195353187190612, 0.5184336528925841, 0.7451984070749397, 0.5958257660789217, 0.5687199813078989, 0.9711173736466701, 0.6244769235034926, 0.5439110038725626, 0.9779709240159196, 0.9577988317059896, 0.7436630306738612, 0.8840173434182059, 0.7138060871021226, 0.6489450620202801, 0.913878879452602, 0.620042037394958, 0.663136322820149, 0.9442450643510514, 0.803822176730418, 0.5089406354198946, 0.8503010732202507, 0.9614451057230735, 0.6172392287175035, 0.6941485802558272, 0.6303962304405959, 0.6782123438152183, 0.9280369690580785, 0.7085730449774321, 0.7830445463800871, 0.5492536721726464, 0.9297689402003522, 0.7098556857999803, 0.8843566914182862, 0.8236728405768974, 0.5545079269020381, 0.9877856955722473, 0.7362410959786523, 0.7378036511576445, 0.8764821051413703, 0.7514284571009584, 0.9633751102709585, 0.6324458168970082, 0.688893996425519, 0.5027773651147218, 0.6604326823786624, 0.8155110885605206, 0.749115230061388, 0.9681414786765213, 0.7262348028462013, 0.7363897248177241, 0.9477781255427532, 0.6981717153115143, 0.7628041168922083, 0.684277967089906, 0.8932381800258484, 0.9266727563641656, 0.507884370256275, 0.9429201508468021, 0.9213504445015894, 0.8268423008346004, 0.9373428165512634, 0.5586949566910416, 0.6577041644223863, 0.8599886464462126, 0.751090454254501, 0.7498122741918029, 0.5047388074736288, 0.582917594782624, 0.5548084062865017, 0.5509295023225776, 0.5547924033948037, 0.9544660604928413, 0.6326488086259592, 0.5104867613442181, 0.5777764130141867, 0.6723665608202873, 0.8265904955102301, 0.7032731777146956, 0.5999729737385875, 0.9621546542539505, 0.8890127485425137, 0.9289231484984073, 0.5146593411516351, 0.7241904727235795, 0.6866759130379729, 0.5858016979056976, 0.9237127893100583, 0.8679414186539999, 0.7233987726476918, 0.8371488405136873, 0.8122653978485814, 0.8855521857311446, 0.6320842472355628, 0.5781926823270113, 0.8996193762954494, 0.7064030343920329, 0.5591931536133377, 0.6952141617337123, 0.927255001724338, 0.807347700487303, 0.9756552509820633, 0.9826244482351754, 0.9576607931185583, 0.9924840170134617, 0.7133464954956799, 0.8927172071799765, 0.5611468979680325, 0.9122156653048934, 0.7364055172675172, 0.6165655788181105, 0.9814231236001563, 0.631312058921109, 0.781392312914776, 0.9738169668980943, 0.5586808440681432, 0.5375545675129523, 0.7610303174750073, 0.8015213708879783, 0.9248416983087362, 0.6851298897650475, 0.7302534949129709, 0.6670804236480701, 0.9809488651097534, 0.7828792805202205, 0.8851388905207263, 0.8282598020357592, 0.6533320171735981, 0.8586795530480641, 0.7060510128353583, 0.7066813144504565, 0.6018826432178943, 0.6033392936705166, 0.6504513151209067, 0.9332574460128356, 0.9107805028078513, 0.9540504524232148, 0.7263080812522206, 0.776342019101761, 0.6961413126574677, 0.6651195559349983, 0.9579153130218061, 0.8658746512144608, 0.7211470268734519, 0.6904621833637166, 0.5542695899796697, 0.7470573711048932, 0.9015507408108332, 0.7848358962722264, 0.7954560836571075, 0.6318724680918657, 0.9666350066860454, 0.807376051290526, 0.8049276439872475, 0.732609117799075, 0.851823187859927, 0.8015728688398213, 0.529556541742374, 0.9456578173767192, 0.5756557083164889, 0.5223228820568506, 0.9307210149645534, 0.5263801209113923, 0.7582726172744927, 0.6747045252470687, 0.6133164536775879, 0.6764848422918162, 0.5243272535301453, 0.7621488008571884, 0.7848791791674363, 0.5003381038277319, 0.8551286903473083, 0.9392908523498048, 0.6473359244913606, 0.6083372658827766, 0.8671887154617868, 0.5998612726187493, 0.9820060381602216, 0.7038954127783221, 0.7471985399889313, 0.9071971770556343, 0.5660768380312586, 0.5432974030555243, 0.7943834670007257, 0.7288127195425373, 0.6099822826184083, 0.6385180615353774, 0.729649178161748, 0.774666613320758, 0.9096656074914967, 0.6008288133113373, 0.7677881248048531, 0.6485840718627167, 0.8668597470305868, 0.9176965695522559, 0.6360761629080692, 0.5207988193200255, 0.7580638803219146, 0.8857388995763995, 0.9835946244732401, 0.6195896646736926, 0.8366515326735364, 0.8405468107767194, 0.7091409235341353, 0.996191787890436, 0.9907883058493642, 0.696647874213606, 0.5901808592387257, 0.7777581464477633, 0.6874528510462374, 0.8496050016121542, 0.7529000106814031, 0.8600204491728405, 0.9352309190166914, 0.8916008821613666, 0.6558460189635038, 0.5350025598095995, 0.6448545452769511, 0.5015346709275912, 0.8523337072413486, 0.5348629790224546, 0.8842714046395597, 0.8517922323723692, 0.7993505764286093, 0.5622458788773643, 0.6658627201532611, 0.9082900529583429, 0.6638539431527727, 0.679525171789615, 0.7016940566600934, 0.969536332692953, 0.7922906441705375, 0.9085920329743227, 0.9016022521132521, 0.5737845459370756, 0.7485234281100769, 0.9094720723723992, 0.8033674425843873, 0.9495657469695675, 0.8703192820829972, 0.738012617490363, 0.8280757060326143, 0.663025577075101, 0.9304722870449174, 0.5301812391884436, 0.634900265152486, 0.9087851551841419, 0.7493686195902011, 0.8051127098131075, 0.9075122076896007, 0.6135790764727869, 0.7068035770399952, 0.6888067139829759, 0.9447836054941083, 0.8782666557009098, 0.757957333106787, 0.8615078467085748, 0.8876745627227145, 0.627819727753288, 0.8215978577185585, 0.5914016818333765, 0.6247016316814851, 0.6991180952134983, 0.7655573977283772, 0.6271128136578529, 0.9487576515527292, 0.849740992710192, 0.6990330590314302, 0.6247432452496717, 0.8593714309831977, 0.7315657771800481, 0.903845148729719, 0.5099210090530024, 0.9861596755830837, 0.5899020106959787, 0.8850119095356458, 0.8468577071851192, 0.9890834902716132, 0.7518477570604702, 0.9962484893645456, 0.5397184794384964, 0.9131515103958074, 0.7702741549270586, 0.5727562874448737, 0.7100555019538495, 0.8426096089298367, 0.5304733922016462, 0.7963376078677612, 0.8964193798366147, 0.9217093705421152, 0.5448837649893843, 0.509085158972963, 0.9832740838788766, 0.9890677383203986, 0.8742938551053361, 0.552472857318443, 0.5221623618346957, 0.5056236930641883, 0.5656584970414134, 0.6042296146952052, 0.7817998444340961, 0.710948458060652, 0.8492145567569113, 0.7118368241494114, 0.7825355717086424, 0.5041200018078309, 0.7847939512165771, 0.8982288166073431, 0.9845094296838917, 0.7116260632727747, 0.9441829213545341, 0.9447477123268128, 0.635459588931929, 0.6918721644462862, 0.6796977459725966, 0.5641166461721534, 0.6215185552721549, 0.9483058083522098, 0.5235607522804124, 0.9206110288707646, 0.9084275359338627, 0.5225768211744406, 0.5372920488758721, 0.7304310142092433, 0.7599620880939573, 0.7473283790116358, 0.6712721009442675, 0.9327187544589918, 0.9216337560426793, 0.6928669373535954, 0.5841468348198056, 0.8027954062204801, 0.9211632286783313, 0.9914105602222549, 0.8185584233973268, 0.7718393001826532, 0.6918490548063976, 0.8718035774163904, 0.6761756584661327, 0.5331592759177247, 0.9993832309610335, 0.9614727006249646, 0.7449442883746192, 0.7932936718348804, 0.5137358424366092, 0.7534194487695591, 0.6377871454553785, 0.5556077618383581, 0.6526089657639073, 0.9836435248447416, 0.7479870620877316, 0.9496456812364784, 0.9097721297887434, 0.9700649621437363, 0.5478055580343262, 0.5592049459976246, 0.8961269729251586, 0.6501347552161858, 0.7787079532710529, 0.9416333128458704, 0.9913927129672009, 0.53430016541497, 0.8059694653672123, 0.5555497582809434, 0.7175132031804075, 0.9996370708819302, 0.5865336277244302, 0.7099743539497378, 0.7076088701097993, 0.9994892807716029, 0.8322835320428488, 0.611963956968931, 0.7293387761794233, 0.5911023011481837, 0.9271487206255019, 0.542448242430521, 0.8078816238847819, 0.5782285522071235, 0.9795273547023539, 0.9191612612628808, 0.9259314564245633, 0.5121257140650686, 0.7939047735553401, 0.9418996658399741, 0.8375723755445872, 0.849883589283198, 0.5132835154535678, 0.8278744436281982, 0.5563692865261668, 0.7710776529170191, 0.6703137941294672, 0.5484906827253283, 0.983433829067113, 0.5660165293434783, 0.5288628375643043, 0.5843816616003675, 0.5740349634877352, 0.5697663626935909, 0.8421511641436987, 0.5600541863913456, 0.8591683623468507, 0.8826242698482409, 0.937507583100363, 0.5180096129793189, 0.9958245605381477, 0.7177884286876046, 0.7711975442545356, 0.8427185132422018, 0.8139349525631343, 0.9001203366293864, 0.5718775449061196, 0.5693650074164067, 0.8173870449651545, 0.7660748083839987, 0.5595801466266552, 0.7536993076993834, 0.5045690077391971, 0.8643299076192501, 0.602966170651183, 0.7983566312717935, 0.8091481535823549, 0.7626224247996316, 0.7662038741150219, 0.5366658149674775, 0.7070244096120167, 0.5160611316959185, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0};
int h_B[]= {
0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898, 900, 902, 904, 906, 908, 910, 912, 914, 916, 918, 920, 922, 924, 926, 928, 930, 932, 934, 936, 938, 940, 942, 944, 946, 948, 950, 952, 954, 956, 958, 960, 962, 964, 966, 968, 970, 972, 974, 976, 978, 980, 982, 984, 986, 988, 990, 992, 994, 996, 998, 1000, 1002, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1026, 1028, 1030, 1032, 1034, 1036, 1038, 1040, 1042, 1044, 1046, 1048, 1050, 1052, 1054, 1056, 1058, 1060, 1062, 1064, 1066, 1068, 1070, 1072, 1074, 1076, 1078, 1080, 1082, 1084, 1086, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1112, 1114, 1116, 1118, 1120, 1122, 1124, 1126, 1128, 1130, 1132, 1134, 1136, 1138, 1140, 1142, 1144, 1146, 1148, 1150, 1152, 1154, 1156, 1158, 1160, 1162, 1164, 1166, 1168, 1170, 1172, 1174, 1176, 1178, 1180, 1182, 1184, 1186, 1188, 1190, 1192, 1194, 1196, 1198, 1200, 1202, 1204, 1206, 1208, 1210, 1212, 1214, 1216, 1218, 1220, 1222, 1224, 1226, 1228, 1230, 1232, 1234, 1236, 1238, 1240, 1242, 1244, 1246, 1248, 1250, 1252, 1254, 1256, 1258, 1260, 1262, 1264, 1266, 1268, 1270, 1272, 1274, 1276, 1278, 1280, 1282, 1284, 1286, 1288, 1290, 1292, 1294, 1296, 1298, 1300, 1302, 1304, 1306, 1308, 1310, 1312, 1314, 1316, 1318, 1320, 1322, 1324, 1326, 1328, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1358, 1360, 1362, 1364, 1366, 1368, 1370, 1372, 1374, 1376, 1378, 1380, 1382, 1384, 1386, 1388, 1390, 1392, 1394, 1396, 1398, 1400, 1402, 1404, 1406, 1408, 1410, 1412, 1414, 1416, 1418, 1420, 1422, 1424, 1426, 1428, 1430, 1432, 1434, 1436, 1438, 1440, 1442, 1444, 1446, 1448, 1450, 1452, 1454, 1456, 1458, 1460, 1462, 1464, 1466, 1468, 1470, 1472, 1474, 1476, 1478, 1480, 1482, 1484, 1486, 1488, 1490, 1492, 1494, 1496, 1498, 1500, 1502, 1504, 1506, 1508, 1510, 1512, 1514, 1516, 1518, 1520, 1522, 1524, 1526, 1528, 1530, 1532, 1534, 1536, 1538, 1540, 1542, 1544, 1546, 1548, 1550, 1552, 1554, 1556, 1558, 1560, 1562, 1564, 1566, 1568, 1570, 1572, 1574, 1576, 1578, 1580, 1582, 1584, 1586, 1588, 1590, 1592, 1594, 1596, 1598, 1600, 1602, 1604, 1606, 1608, 1610, 1612, 1614, 1616, 1618, 1620, 1622, 1624, 1626, 1628, 1630, 1632, 1634, 1636, 1638, 1640, 1642, 1644, 1646, 1648, 1650, 1652, 1654, 1656, 1658, 1660, 1662, 1664, 1666, 1668, 1670, 1672, 1674, 1676, 1678, 1680, 1682, 1684, 1686, 1688, 1690, 1692, 1694, 1696, 1698, 1700, 1702, 1704, 1706, 1708, 1710, 1712, 1714, 1716, 1718, 1720, 1722, 1724, 1726, 1728, 1730, 1732, 1734, 1736, 1738, 1740, 1742, 1744, 1746, 1748, 1750, 1752, 1754, 1756, 1758, 1760, 1762, 1764, 1766, 1768, 1770, 1772, 1774, 1776, 1778, 1780, 1782, 1784, 1786, 1788, 1790, 1792, 1794, 1796, 1798, 1800, 1802, 1804, 1806, 1808, 1810, 1812, 1814, 1816, 1818, 1820, 1822, 1824, 1826, 1828, 1830, 1832, 1834, 1836, 1838, 1840, 1842, 1844, 1846, 1848, 1850, 1852, 1854, 1856, 1858, 1860, 1862, 1864, 1866, 1868, 1870, 1872, 1874, 1876, 1878, 1880, 1882, 1884, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1914, 1916, 1918, 1920, 1922, 1924, 1926, 1928, 1930, 1932, 1934, 1936, 1938, 1940, 1942, 1944, 1946, 1948, 1950, 1952, 1954, 1956, 1958, 1960, 1962, 1964, 1966, 1968, 1970, 1972, 1974, 1976, 1978, 1980, 1982, 1984, 1986, 1988, 1990, 1992, 1994, 1996, 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018, 2020, 2022, 2024, 2026, 2028, 2030, 2032, 2034, 2036, 2038, 2040, 2042, 2044, 2046, 2048, 2050, 2052, 2054, 2056, 2058, 2060, 2062, 2064, 2066, 2068, 2070, 2072, 2074, 2076, 2078, 2080, 2082, 2084, 2086, 2088, 2090, 2092, 2094, 2096, 2098, 2100, 2102, 2104, 2106, 2108, 2110, 2112, 2114, 2116, 2118, 2120, 2122, 2124, 2126, 2128, 2130, 2132, 2134, 2136, 2138, 2140, 2142, 2144, 2146, 2148, 2150, 2152, 2154, 2156, 2158, 2160, 2162, 2164, 2166, 2168, 2170, 2172, 2174, 2176, 2178, 2180, 2182, 2184, 2186, 2188, 2190, 2192, 2194, 2196, 2198, 2200, 2202, 2204, 2206, 2208, 2210, 2212, 2214, 2216, 2218, 2220, 2222, 2224, 2226, 2228, 2230, 2232, 2234, 2236, 2238, 2240, 2242, 2244, 2246, 2248, 2250, 2252, 2254, 2256, 2258, 2260, 2262, 2264, 2266, 2268, 2270, 2272, 2274, 2276, 2278, 2280, 2282, 2284, 2286, 2288, 2290, 2292, 2294, 2296, 2298, 2300, 2302, 2304, 2306, 2308, 2310, 2312, 2314, 2316, 2318, 2320, 2322, 2324, 2326, 2328, 2330, 2332, 2334, 2336, 2338, 2340, 2342, 2344, 2346, 2348, 2350, 2352, 2354, 2356, 2358, 2360, 2362, 2364, 2366, 2368, 2370, 2372, 2374, 2376, 2378, 2380, 2382, 2384, 2386, 2388, 2390, 2392, 2394, 2396, 2398, 2400, 2402, 2404, 2406, 2408, 2410, 2412, 2414, 2416, 2418, 2420, 2422, 2424, 2426, 2428, 2430, 2432, 2434, 2436, 2438, 2440, 2442, 2444, 2446, 2448, 2450, 2452, 2454, 2456, 2458, 2460, 2462, 2464, 2466, 2468, 2470, 2472, 2474, 2476, 2478, 2480, 2482, 2484, 2486, 2488, 2490, 2492, 2494, 2496, 2498, 2500, 2502, 2504, 2506, 2508, 2510, 2512, 2514, 2516, 2518, 2520, 2522, 2524, 2526, 2528, 2530, 2532, 2534, 2536, 2538, 2540, 2542, 2544, 2546, 2548, 2550, 2552, 2554, 2556, 2558, 2560, 2562, 2564, 2566, 2568, 2570, 2572, 2574, 2576, 2578, 2580, 2582, 2584, 2586, 2588, 2590, 2592, 2594, 2596, 2598, 2600, 2602, 2604, 2606, 2608, 2610, 2612, 2614, 2616, 2618, 2620, 2622, 2624, 2626, 2628, 2630, 2632, 2634, 2636, 2638, 2640, 2642, 2644, 2646, 2648, 2650, 2652, 2654, 2656, 2658, 2660, 2662, 2664, 2666, 2668, 2670, 2672, 2674, 2676, 2678, 2680, 2682, 2684, 2686, 2688, 2690, 2692, 2694, 2696, 2698, 2700, 2702, 2704, 2706, 2708, 2710, 2712, 2714, 2716, 2718, 2720, 2722, 2724, 2726, 2728, 2730, 2732, 2734, 2736, 2738, 2740, 2742, 2744, 2746, 2748, 2750, 2752, 2754, 2756, 2758, 2760, 2762, 2764, 2766, 2768, 2770, 2772, 2774, 2776, 2778, 2780, 2782, 2784, 2786, 2788, 2790, 2792, 2794, 2796, 2798, 2800, 2802, 2804, 2806, 2808, 2810, 2812, 2814, 2816, 2818, 2820, 2822, 2824, 2826, 2828, 2830, 2832, 2834, 2836, 2838, 2840, 2842, 2844, 2846, 2848, 2850, 2852, 2854, 2856, 2858, 2860, 2862, 2864, 2866, 2868, 2870, 2872, 2874, 2876, 2878, 2880, 2882, 2884, 2886, 2888, 2890, 2892, 2894, 2896, 2898, 2900, 2902, 2904, 2906, 2908, 2910, 2912, 2914, 2916, 2918, 2920, 2922, 2924, 2926, 2928, 2930, 2932, 2934, 2936, 2938, 2940, 2942, 2944, 2946, 2948, 2950, 2952, 2954, 2956, 2958, 2960, 2962, 2964, 2966, 2968, 2970, 2972, 2974, 2976, 2978, 2980, 2982, 2984, 2986, 2988, 2990, 2992, 2994, 2996, 2998, 3000, 3002, 3004, 3006, 3008, 3010, 3012, 3014, 3016, 3018, 3020, 3022, 3024, 3026, 3028, 3030, 3032, 3034, 3036, 3038, 3040, 3042, 3044, 3046, 3048, 3050, 3052, 3054, 3056, 3058, 3060, 3062, 3064, 3066, 3068, 3070, 3072, 3074, 3076, 3078, 3080, 3082, 3084, 3086, 3088, 3090, 3092, 3094, 3096, 3098, 3100, 3102, 3104, 3106, 3108, 3110, 3112, 3114, 3116, 3118, 3120, 3122, 3124, 3126, 3128, 3130, 3132, 3134, 3136, 3138, 3140, 3142, 3144, 3146, 3148, 3150, 3152, 3154, 3156, 3158, 3160, 3162, 3164, 3166, 3168, 3170, 3172, 3174, 3176, 3178, 3180, 3182, 3184, 3186, 3188, 3190, 3192, 3194, 3196, 3198, 3200, 3202, 3204, 3206, 3208, 3210, 3212, 3214, 3216, 3218, 3220, 3222, 3224, 3226, 3228, 3230, 3232, 3234, 3236, 3238, 3240, 3242, 3244, 3246, 3248, 3250, 3252, 3256, 3258, 3260, 3262, 3264, 3266, 3268, 3270, 3272, 3274, 3276, 3278, 3280, 3282, 3284, 3286, 3288, 3290, 3292, 3294, 3296, 3298, 3300, 3302, 3304, 3306, 3308, 3310, 3312, 3314, 3316, 3318, 3320, 3322, 3324, 3326, 3328, 3330, 3332, 3334, 3336, 3338, 3340, 3342, 3344, 3346, 3348, 3350, 3352, 3354, 3356, 3358, 3360, 3362, 3364, 3366, 3368, 3370, 3372, 3374, 3376, 3378, 3380, 3382, 3384, 3386, 3388, 3390, 3392, 3394, 3396, 3398, 3400, 3402, 3404, 3406, 3408, 3410, 3412, 3414, 3416, 3418, 3420, 3422, 3424, 3426, 3428, 3430, 3432, 3434, 3436, 3438, 3440, 3442, 3444, 3446, 3448, 3450, 3452, 3454, 3456, 3458, 3460, 3462, 3464, 3466, 3468, 3470, 3472, 3474, 3476, 3478, 3480, 3482, 3484, 3486, 3488, 3490, 3492, 3494, 3496, 3498, 3500, 3502, 3504, 3506, 3508, 3510, 3513, 3515, 3517, 3519, 3521, 3523, 3525, 3527, 3529, 3531, 3533, 3535, 3537, 3539, 3541, 3543, 3545, 3547, 3549, 3551, 3553, 3555, 3557, 3559, 3562, 3564, 3566, 3568, 3570, 3572, 3575, 3577, 3579, 3581, 3584, 3586, 3589, 3591, 3596, 3598, 3607, 3609, 3611, 3613, 3616, 3618, 3621, 3623, 3629, 3631, 3633, 3635, 3638, 3640, 3643, 3645, 3651, 3653, 3655, 3657, 3659, 3661, 3663, 3665, 3667, 3669, 3671, 3673, 3675, 3677, 3679, 3681, 3683, 3685, 3687, 3689, 3692, 3694, 3696, 3698, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3730, 3732, 3734, 3736, 3738, 3740, 3742, 3744, 3746, 3748, 3750, 3752, 3754, 3756, 3758, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3787, 3789, 3792, 3794, 3797, 3799, 3802, 3804, 3807, 3809, 3811, 3813, 3816, 3818, 3821, 3823, 3828, 3830, 3833, 3835, 3839, 3841, 3844, 3846, 3849, 3851, 3853, 3855, 3858, 3860, 3862, 3864, 3868, 3870, 3873, 3875, 3878, 3880, 3883, 3885, 3887, 3889, 3891, 3893, 3895, 3897, 3899, 3901, 3903, 3905, 3907, 3909, 3912, 3914, 3916, 3918, 3920, 3922, 3924, 3926, 3928, 3930, 3932, 3934, 3936, 3938, 3940, 3942, 3944, 3946, 3948, 3950, 3952, 3954, 3956, 3958, 3960, 3962, 3964, 3966, 3968, 3970, 3972, 3974, 3977, 3979, 3981, 3983, 3985, 3987, 3989, 3991, 3994, 3996, 3999, 4001, 4007, 4009, 4011, 4013, 4016, 4018, 4020, 4022, 4025, 4027, 4030, 4032, 4037, 4039, 4041, 4043, 4046, 4048, 4051, 4053, 4059, 4061, 4067, 4069, 4072, 4074, 4076, 4078, 4080, 4082, 4084, 4086, 4088, 4090, 4092, 4094, 4096, 4098, 4100, 4102, 4107, 4109, 4111, 4113, 4115, 4117, 4120, 4122, 4125, 4127, 4133, 4135, 4140, 4142, 4145, 4147, 4149, 4151, 4153, 4155, 4157, 4159, 4161, 4163, 4165, 4167, 4173, 4175, 4178, 4180, 4183, 4185, 4188, 4190, 4196, 4198, 4200, 4202, 4204, 4206, 4208, 4210, 4212, 4214, 4216, 4218, 4220, 4222, 4224, 4226, 4228, 4230, 4232, 4234, 4236, 4238, 4240, 4242, 4244, 4246, 4248, 4250, 4252, 4254, 4256, 4258, 4260, 4262, 4264, 4266, 4268, 4270, 4272, 4274, 4276, 4278, 4280, 4282, 4284, 4286, 4288, 4290, 4292, 4294, 4296, 4298, 4300, 4302, 4304, 4306, 4308, 4310, 4312, 4314, 4316, 4318, 4320, 4322, 4324, 4326, 4328, 4330, 4332, 4334, 4336, 4338, 4340, 4342, 4344, 4346, 4348, 4350, 4352, 4354, 4356, 4358, 4360, 4362, 4364, 4366, 4368, 4370, 4372, 4374, 4376, 4378, 4380, 4382, 4385, 4387, 4389, 4391, 4393, 4395, 4397, 4399, 4401, 4403, 4405, 4407, 4409, 4411, 4413, 4415, 4417, 4419, 4421, 4423, 4425, 4427, 4429, 4431, 4433, 4435, 4437, 4439, 4441, 4443, 4446, 4448, 4450, 4452, 4455, 4457, 4459, 4461, 4464, 4466, 4468, 4470, 4472, 4474, 4476, 4478, 4481, 4483, 4485, 4487, 4490, 4492, 4495, 4497, 4502, 4504, 4506, 4508, 4510, 4512, 4514, 4516, 4519, 4521, 4523, 4525, 4528, 4530, 4533, 4535, 4540, 4542, 4544, 4546, 4548, 4550, 4553, 4555, 4558, 4560, 4563, 4565, 4568, 4570, 4573, 4575, 4578, 4580, 4583, 4585, 4006, 4004, 4590, 4592, 4594, 4596, 4598, 4600, 4602, 4604, 4606, 4608, 4182, 4177, 4612, 4614, 4616, 4618, 4620, 4622, 4624, 4626, 4628, 4630, 4632, 4634, 4636, 4638, 4640, 4642, 4644, 4646, 4648, 4650, 4652, 4654, 4656, 4658, 4660, 4662, 4664, 4666, 4681, 4683, 4685, 4687, 4689, 4691, 4693, 4695, 4697, 4699, 4701, 4703, 4705, 4707, 4709, 4711, 4713, 4715, 4717, 4719, 4721, 4723, 4725, 4727, 4729, 4731, 4733, 4735, 4737, 4739, 4006, 4004, 4006, 4004, 4036, 4024, 4006, 4004, 4006, 4004, 4775, 4777, 4779, 4781, 4783, 4785, 4787, 4789, 4791, 4793, 4795, 4797, 4799, 4801, 4803, 4805, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3626, 3626, 3650, 3648, 3650, 3648, 3628, 3628, 3650, 3648, 3650, 3648, 4066, 4064, 4006, 4004, 4195, 4193, 4006, 4004, 4066, 4064, 4066, 4064, 4006, 4004, 4058, 4056, 4172, 4170, 4182, 4177, 4172, 4170, 4182, 4177, 3628, 3626, 3650, 3648, 3650, 3648, 4066, 4064, 4066, 4064, 4066, 4064, 4006, 4004, 4058, 4056, 4058, 4066, 4064, 4066, 4064, 4172, 4170, 4182, 4177, 4172, 4170, 4182, 4177, 4172, 4170, 3628, 3626, 3628, 3626, 3848, 3848, 3574, 3574, 3628, 3626, 3628, 3626, 3650, 3648, 3650, 3648, 3806, 3801, 3806, 3801, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3628, 3626, 3628, 3626, 3650, 3648, 3650, 3648, 4006, 4004, 4006, 4004, 4036, 4024, 4036, 4024, 4058, 4056, 4058, 4056, 4006, 4004, 4006, 4004, 4006, 4004, 4006, 4004, 4036, 4024, 4058, 4056, 4195, 4193, 4036, 4024, 4036, 4024, 4066, 4064, 4172, 4170, 4036, 4024, 4036, 4024, 4058, 4056, 4058, 4056, 4066, 4064, 4066, 4064, 4006, 4004, 4036, 4024, 4036, 4024, 4066, 4064, 4066, 4064, 4132, 4130, 4132, 4130, 4172, 4170, 4172, 4170, 4172, 4170, 5250, 5252, 5254, 5256, 5258, 5260, 5262, 5264, 5266, 5268, 5270, 5272, 5274, 5276, 5278, 5280, 5282, 5284, 4582, 4587, 4587, 4582, 5339, 5341, 5343, 5345, 5347, 5349, 5351, 5353, 5355, 5357, 5359, 5361, 5363, 5365, 5367, 5369, 5371, 5373, 5375, 5377, 5379, 5381, 5383, 5385, 5387, 5389, 5391, 5393, 5395, 5397, 5399, 5401, 5403, 5405, 5407, 5409, 5411, 5413, 5415, 5417, 4587, 4582, 4587, 4582, 5478, 5480, 5482, 5484, 5486, 5488, 5490, 5492, 5494, 5496, 5498, 5500, 5502, 5504, 5506, 5508, 5511, 5513, 5515, 5517, 5519, 5521, 4006, 4004, 4066, 4064, 5542, 5544, 5546, 5548, 5550, 5552, 5554, 5556, 5558, 5560, 5562, 5564, 5566, 5568, 5570, 5572, 5574, 5576, 5578, 5580, 5582, 5584, 5586, 5588, 5590, 5592, 5594, 5596, 5598, 5600, 5602, 5604, 3628, 3626, 3628, 3626, 3628, 3626, 3806, 3801, 3806, 3801, 3604, 3602, 3604, 3602, 3604, 3602, 3604, 3602, 3628, 3626, 3806, 3801, 3806, 3801, 3628, 3626, 4006, 4004, 4036, 4024, 4066, 4064, 4036, 4024, 4024, 4036, 4066, 4064, 4066, 4064, 4066, 4064, 4066, 4064, 4036, 4024, 4058, 4056, 4058, 4056, 4066, 4064, 4036, 4024, 4036, 4024, 4066, 4064, 4006, 4004, 4006, 4004, 4066, 4064, 4066, 4064, 4006, 4004, 4006, 4004, 4066, 4064, 4006, 4004, 4006, 4004, 4036, 4024, 4006, 4004, 4006, 4004, 4066, 4064, 4066, 4064, 4006, 4004, 4006, 4004, 4066, 4064, 4172, 4170, 4172, 4170, 4195, 4193, 3628, 3626, 3628, 3626, 3650, 3648, 3628, 3626, 4006, 4004, 4172, 4170, 4006, 4004, 4066, 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21294, 21295, 21296, 21297, 21298, 21299, 21300, 21301, 21302, 21303, 21304, 21305, 21306, 21307, 21308, 21310, 21311, 21312, 21314, 21315, 21316, 21317, 21319, 21320, 21321, 21322, 21323, 21324, 21325, 21326, 21327, 21328, 21329, 21330, 21331, 21332, 21333, 21334, 21335, 21336, 21337, 21338, 21339, 21340, 21341, 21342, 21344, 21345, 21346, 21347, 21348, 21349, 21350, 21351, 21352, 21353, 21354, 21355, 20686, 21357, 21358, 21361, 21362, 21363, 21364, 21365, 21366, 21367, 21368, 21369, 21370, 21371, 21372, 21373, 21374, 21375, 21376, 21377, 21378, 21379, 21380, 21381, 21382, 21383, 21384, 21385, 21386, 21387, 21388, 21389, 21391, 21392, 21393, 21394, 21395, 21396, 21397, 21398, 21399, 21400, 21401, 21402, 21403, 21404, 21405, 21406, 21407, 21408, 21409, 21410, 21411, 21412, 21413, 21414, 21415, 21416, 21417, 21418, 21419, 21420, 21421, 21424, 21427, 21428, 21429, 21430, 21431, 21432, 21433, 21434, 21435, 21436, 21437, 21438, 21439, 21440, 21441, 21442, 21443, 21446, 21447, 21448, 21449, 21450, 21451, 21452, 21455, 21456, 21457, 21458, 21459, 21460, 21461, 21462, 21463, 21464, 21465, 21466, 21467, 21468, 21469, 21472, 21473, 21474, 21475, 21476, 21477, 21478, 21480, 21481, 21482, 21483, 21484, 21485, 21486, 21487, 21488, 21489, 21490, 21491, 21492, 21493, 21494, 21495, 21496, 21499, 21500, 21501, 21502, 21503, 21504, 21506, 21507, 21508, 21509, 21510, 21511, 21512, 21513, 21514, 21515, 21516, 21517, 21518, 21519, 21520, 21521, 21522, 21523, 21524, 21526, 21527, 21528, 21529, 21530, 21531, 21533, 21534, 21535, 21536, 21537, 21538, 21539, 21540, 21541, 21542, 21544, 21545, 21546, 21547, 21548, 21549, 21550, 21551, 21552, 21553, 21555, 21557, 21558, 21559, 21560, 21562, 21564, 21565, 21566, 21567, 21568, 21569, 21571, 21572, 21573, 21574, 21575, 21576, 21578, 21579, 21580, 21583, 21584, 21585, 21586, 21587, 21589, 21590, 21591, 21592, 21593, 21594, 21595, 21596, 21597, 21598, 21599, 21600, 21601, 21602, 21603, 21604, 21605, 21606, 21607, 21608, 21609, 21610, 21611, 21612, 21613, 21614, 21615, 21616, 21617, 21618, 21619, 21620, 21621, 21623, 21624, 21625, 21626, 21627, 21628, 21629, 21630, 21632, 21633, 21634, 21635, 21636, 21637, 21638, 21639, 21641, 21642, 21643, 21645, 21646, 21647, 21648, 21649, 21650, 21651, 21652, 21653, 21654, 21655, 21656, 21657, 21658, 21659, 21660, 21663, 21664, 21665, 21666, 21667, 21668, 21669, 21670, 21671, 21672, 21673, 21674, 21675, 21676, 21677, 21678, 21679, 21680, 21682, 21683, 21684, 21687, 21688, 21689, 21691, 21693, 21695, 21697, 21698, 21699, 21700, 21701, 21702, 21703, 21704, 21705, 21706, 21707, 21708, 21709, 21710, 21712, 21713, 21714, 21715, 21716, 21718, 21719, 21720, 21722, 21724, 21725, 21726, 21727, 21728, 21729, 21730, 21732, 21733, 21734, 21736, 21737, 21738, 21739, 21740, 21741, 21742, 21743, 21744, 21745, 21746, 21747, 21748, 21749, 21752, 21753, 21754, 21755, 21756, 21757, 21758, 21759, 21760, 21761, 21762, 21763, 21765, 21766, 21767, 21768, 21769, 21770, 21773, 21774, 21775, 21776, 21777, 21778, 21780, 21781, 21782, 21784, 21785, 21786, 21787, 21788, 21789, 21790, 21791, 21792, 21793, 21794, 21795, 21796, 21799, 21800, 21801, 21802, 21803, 21804, 21806, 21807, 21808, 21810, 21811, 21812, 21813, 21814, 21815, 21816, 21817, 21818, 21819, 21820, 21821, 21822, 21823, 21826, 21827, 21828, 21829, 21830, 21831, 21832, 21833, 21834, 21835, 21836, 21837, 21838, 21839, 21840, 21841, 21842, 21844, 21845, 21846, 21847, 21848, 21849, 21850, 21851, 21852, 21853, 21854, 21855, 21857, 21858, 21859, 21860, 21861, 21862, 21863, 21864, 21865, 21866, 21867, 21868, 21871, 21872, 21873, 21875, 21876, 21878, 21879, 21880, 21881, 21882, 21883, 21884, 21885, 21886, 21888, 21889, 21890, 21891, 21892, 21893, 21894, 21895, 21897, 21898, 21899, 21901, 21903, 21905, 21907, 21908, 21909, 21910, 21911, 21912, 21913, 21914, 21915, 21916, 21918, 21919, 21920, 21921, 21922, 21923, 21924, 21925, 21927, 21930, 21933, 21935, 21937, 21939, 21940, 21941, 21942, 21943, 21944, 21945, 21946, 21947, 21948, 21949, 21950, 21951, 21952, 21953, 21954, 21956, 21957, 21958, 21961, 21962, 21963, 21965, 21967, 21969, 21971, 21972, 21973, 21974, 21975, 21976, 21977, 21978, 21979, 21981, 21982, 21983, 21984, 21985, 21986, 21987, 21988, 21989, 21990, 21991, 21992, 21995, 21996, 21997, 21999, 22001, 22003, 22004, 22005, 22006, 22007, 22008, 22009, 22010, 22011, 22013, 22014, 22015, 22016, 22017, 22018, 22019, 22022, 22024, 22025, 22027, 22029, 22031, 22032, 22033, 22034, 22035, 22036, 22037, 22038, 22039, 22040, 22041, 22042, 22043, 22044, 22045, 22046, 22047, 22048, 22049, 22052, 22053, 22054, 22055, 22056, 22057, 22059, 22060, 22061, 22062, 22063, 22064, 22065, 22066, 22067, 22068, 22069, 22070, 22071, 22072, 22073, 22076, 22077, 22078, 22079, 22080, 22081, 22082, 22084, 22085, 22086, 22087, 22088, 22089, 22090, 22091, 22092, 22093, 22094, 22095, 22096, 22097, 22098, 22100, 22101, 22102, 22103, 22104, 22106, 22108, 22109, 22110, 22111, 22112, 22113, 22114, 22115, 22116, 22117, 22118, 22119, 22120, 22121, 22122, 22123, 22124, 22126, 22127, 22128, 22129, 22131, 22133, 22134, 22135, 22136, 22137, 22138, 22139, 22140, 22141, 22142, 22143, 22144, 22145, 22146, 22147, 22148, 22150, 22151, 22152, 22154, 22156, 22157, 22158, 22159, 22160, 22161, 22162, 22163, 22164, 22165, 22166, 22167, 22168, 22169, 22170, 22171, 22172, 22173, 22174, 22175, 22176, 22177, 22178, 22179, 22180, 22181, 22182, 22183, 22184, 22185, 22186, 22187, 22190, 22191, 22192, 22193, 22194, 22195, 22196, 22197, 22199, 22200, 22201, 22202, 22203, 22204, 22205, 22206, 22208, 22209, 22210, 22211, 22212, 22213, 22214, 22215, 22217, 22219, 22220, 22221, 22222, 22223, 22224, 22225, 22226, 22227, 22228, 22230, 22231, 22232, 22233, 22234, 22235, 22236, 22238, 22239, 22240, 22241, 22242, 22243, 22244, 22245, 22247, 22248, 22249, 22250, 22251, 22252, 22253, 22254, 22256, 22258, 22259, 22260, 22261, 22262, 22263, 22264, 22265, 22266, 22267, 22269, 22270, 22271, 22272, 22273, 22274, 22275, 22276, 22277, 22278, 22279, 22280, 22281, 22282, 22283, 22284, 22285, 22286, 22287, 22288, 22289, 22290, 22291, 22292, 22293, 22294, 22295, 22297, 22298, 22299, 22300, 22301, 22302, 22303, 22304, 22306, 22307, 22308, 22309, 22310, 22311, 22312, 22313, 22315, 22317, 22318, 22319, 22320, 22321, 22322, 22324, 22325, 22326, 22328, 22329, 22330, 22331, 22332, 22333, 22334, 22335, 22336, 22337, 22338, 22339, 22340, 22341, 22342, 22343, 22346, 22347, 22348, 22349, 22350, 22352, 22353, 22354, 22356, 22357, 22358, 22359, 22360, 22361, 22362, 22363, 22364, 22365, 22366, 22367, 22368, 22369, 22370, 22371, 22374, 22375, 22376, 22377, 22378, 22379, 22380, 22381, 22382, 22383, 22384, 22385, 22386, 22387, 22388, 22389, 22390, 22392, 22393, 22394, 22395, 22396, 22397, 22398, 22399, 22400, 22401, 22402, 22403, 22404, 22406, 22407, 22408, 22409, 22410, 22411, 22413, 22414, 22416, 22417, 22418, 22419, 22421, 22423, 22425, 22426, 22427, 22428, 22429, 22430, 22431, 22432, 22433, 22434, 22436, 22437, 22438, 22439, 22440, 22441, 22443, 22444, 21014, 22446, 22447, 22448, 22450, 22452, 22454, 22456, 22457, 22458, 22459, 22460, 22461, 22462, 22463, 22464, 22465, 22467, 22468, 22469, 22470, 22471, 22472, 22473, 22474, 22475, 22478, 22479, 22480, 22482, 22484, 22486, 22488, 22489, 22490, 22491, 22492, 22493, 22494, 22495, 22496, 22498, 22499, 22500, 22501, 22502, 22503, 22504, 22505, 22506, 22507, 22508, 22509, 22512, 22513, 22514, 22516, 22518, 22520, 22521, 22523, 22524, 22525, 22527, 22528, 22529, 22530, 22532, 22533, 22534, 22535, 22536, 22537, 22538, 22539, 22540, 22541, 22542, 22543, 22546, 22547, 22548, 22549, 22550, 22551, 22552, 22553, 22554, 22557, 22558, 22559, 22560, 22561, 22562, 22563, 22564, 22565, 22566, 22567, 22568, 22569, 22570, 22571, 22572, 22573, 22575, 22576, 22577, 22578, 22579, 22580, 22581, 22582, 22584, 22586, 22587, 22588, 22589, 22590, 22591, 22592, 22593, 22594, 22595, 22596, 22597, 22598, 22599, 22600, 22601, 22602, 22603, 22605, 22606, 22607, 22608, 22609, 22610, 22611, 22612, 22614, 22616, 22617, 22618, 22619, 22620, 22621, 22622, 22623, 22624, 22625, 22626, 22627, 22628, 22629, 22630, 22631, 22632, 22633, 22634, 22635, 22636, 22637, 22638, 22639, 22640, 22641, 22642, 22643, 22644, 22645, 22646, 22647, 22648, 22649, 22650, 22651, 22652, 22653, 22654, 22655, 22656, 22657, 22658, 22659, 22660, 22661, 22662, 22663, 22664, 22665, 22666, 22667, 22668, 22669, 22670, 22671, 22672, 22674, 22675, 22676, 22677, 22678, 22679, 22680, 22681, 22682, 22683, 22684, 22685, 22686, 22687, 22688, 22689, 22690, 22691, 22692, 22693, 22694, 22695, 22696, 22697, 22698, 22699, 22700, 22701, 22702, 22703, 22704, 22706, 22707, 22708, 22709, 22710, 22711, 22712, 22715, 22716, 22717, 22718, 22719, 22721, 22722, 22723, 22724, 22725, 22726, 22727, 22728, 22729, 22731, 22732, 22733, 22734, 22735, 22736, 22737, 22739, 22740, 22742, 22743, 22744, 22746, 22747, 22749, 22750, 22751, 22752, 22753, 22755, 22756, 22757, 22758, 22759, 22760, 22761, 22762, 22763, 22764, 22766, 22767, 22768, 22769, 22770, 22771, 22774, 22775, 22776, 22779, 22780, 22781, 22783, 22784, 22785, 22788, 22789, 22790, 22791, 22792, 22793, 22794, 22796, 22798, 22799, 22800, 22801, 22802, 22803, 22806, 22807, 22808, 22809, 22810, 22811, 22812, 22813, 22814, 22816, 22817, 22819, 22821, 22822, 22824, 22825, 22826, 22827, 22829, 22830, 22832, 22834, 22836, 22837, 22839, 22840, 22841, 22843, 22844, 22845, 22846, 22847, 22849, 22850, 22851, 22852, 22853, 22854, 22855, 22856, 22857, 22858, 22859, 22860, 22861, 22862, 22863, 22864, 22865, 22866, 22867, 22869, 22871, 22873, 22875, 22876, 22877, 22878, 22881, 22883, 22886, 22888, 22889, 22890, 22891, 22892, 22894, 22896, 22898, 22900, 22903, 22905, 22908, 22910, 22913, 22915, 22916, 22917, 22918, 22919, 22920, 22921, 22922, 22924, 22926, 22928, 22930, 22933, 22935, 22936, 22937, 22938, 22939, 22941, 22943, 22945, 22947, 22949, 22950, 22951, 22952, 22955, 22957, 22958, 22818, 22963, 22968, 22833, 22971, 22972, 22973, 22975, 22977, 22979, 22981, 7, 8, 9, 10, 11, 12, 13, 14, 15, 22992, 22994, 22998, 23001, 23003, 23006, 23009, 23011, 23013, 23015, 23018, 23022, 23026, 23028, 23030, 23033, 23036, 23038, 23040, 23043, 23046, 23050, 23052, 23055, 23059, 23069, 23072, 23075, 23078, 23079, 23081, 23084, 23088, 23090, 23092, 23098, 23101, 23104, 23106, 23108, 23111, 23114, 23117, 23118, 23120, 23129, 23132, 23135, 23137, 23141, 23142, 23148, 23150, 23152, 23154, 23157, 23159, 23163, 23167, 23171, 23173, 23176, 23177, 23180, 23181, 23183, 23187, 23188, 23194, 23196, 23198, 23200, 23203, 23205, 23207, 23210, 23213, 23215, 23217, 23226, 23229, 23231, 23235, 23237, 23246, 23248, 23251, 23253, 23257, 23259, 23265, 23267, 23270, 23273, 23276, 23278, 23281, 23283, 23285, 23289, 23291, 23294, 23296, 23298, 23300, 23303, 23306, 23308, 23311, 23314, 23317, 23320, 23321, 23323, 23330, 23332, 23333, 23336, 23338, 23342, 23345, 23348, 23351, 23353, 23354, 23360, 23362, 23366, 23368, 23371, 23374, 23376, 23379, 23383, 23387, 23390, 23393, 23396, 23397, 23399, 23401, 23406, 23407, 23409, 23412, 23415, 23419, 23422, 23424, 23425, 23428, 23431, 23434, 23437, 23438, 23440, 23442, 23444, 23446, 23447, 23450, 23453, 23456, 23459, 23460, 23462, 23464, 23469, 23470, 23472, 23475, 23478, 23484, 23487, 23490, 23493, 23496, 23499, 23501, 23503, 23506, 23508, 23510, 23511, 23516, 23519, 23522, 23525, 23527, 23531, 23533, 23539, 23542, 23544, 23546, 23550, 23552, 23562, 23564, 23566, 23569, 23572, 23575, 23578, 23580, 23581, 23587, 23590, 23593, 23596, 23598, 23600, 23603, 23605, 23607, 23608, 23613, 23616, 23619, 23622, 23624, 23630, 23634, 23637, 23639, 23642, 23644, 23646, 23652, 23653, 23659, 23661, 23664, 23667, 23669, 23673, 23674, 23678, 23681, 23683, 23685, 23690, 23693, 23696, 23698, 23702, 23706, 23708, 23713, 23716, 23719, 23721, 23727, 23729, 23734, 23737, 23740, 23747, 23749, 23751, 23754, 23758, 23760, 23762, 23765, 23769, 23772, 23775, 23777, 23780, 23785, 23788, 23793, 23796, 23799, 23802, 23804, 23807, 23809, 23811, 23814, 23819, 23822, 23827, 23830, 23833, 23836, 23838, 23841, 23843, 23847, 23850, 23853, 23856, 23859, 23862, 23865, 23868, 23873, 23876, 23881, 23884, 23887, 23890, 23892, 23895, 23898, 23901, 23902, 23904, 23911, 23913, 23914, 23916, 23919, 23922, 23925, 23926, 23928, 23935, 23937, 23938, 23940, 23943, 23946, 23952, 23955, 23958, 23961, 23964, 23968, 23970, 23974, 23976, 23978, 23982, 23985, 23988, 23992, 23994, 23998, 24001, 24007, 24010, 24013, 24017, 24019, 24022, 24023, 24025, 24026, 24032, 24035, 24038, 24041, 24043, 24045, 24048, 24050, 24052, 24053, 24060, 24064, 24068, 24070, 24073, 24075, 24078, 24079, 24085, 24087, 24088, 24091, 24093, 24097, 24099, 24102, 24105, 24107, 24109, 24110, 24114, 24118, 24120, 24124, 24126, 24129, 24132, 24134, 24136, 24137, 24141, 24145, 24147, 24149, 24152, 24155, 24157, 24160, 24163, 24166, 24168, 24171, 24174, 24177, 24179, 24182, 24185, 24189, 24191, 24194, 24196, 24198, 24200, 24202, 24204, 24206, 24211, 24213, 24215, 24217, 24219, 23386, 23127, 23000, 24225, 24229, 24231, 24233, 24236, 24241, 24246, 24250, 23845, 23880, 24254, 24265, 24269, 24271, 24083, 23063, 23068, 23066, 23064, 23097, 23095, 23093, 24083, 23386, 23127, 23125, 23140, 23147, 23145, 23162, 23166, 23186, 23192, 23221, 23219, 23225, 23223, 23234, 23242, 23240, 21563, 21561, 23256, 23263, 23261, 24274, 24276, 24280, 24282, 23328, 23326, 23341, 21696, 21694, 21692, 23365, 23386, 24297, 24302, 24304, 24306, 23405, 23468, 23482, 23515, 23530, 21906, 21904, 21902, 23555, 21932, 21929, 20865, 21938, 21936, 21934, 21970, 21968, 21966, 22002, 22000, 23627, 22021, 22030, 22028, 22026, 23651, 23649, 23657, 23672, 23688, 23705, 23711, 23726, 23724, 23732, 23746, 23744, 24310, 24312, 24314, 24317, 23784, 23792, 23818, 23826, 23845, 23880, 24323, 23872, 23880, 23909, 23907, 23933, 23931, 23950, 23973, 22424, 22422, 22420, 23997, 22455, 22453, 22451, 22487, 22485, 22483, 24059, 22519, 22517, 24083, 24096, 24117, 24123, 24144, 24333, 24335, 24337, 24340, 24343, 24346, 24349, 24352, 24354, 24209, 24356, 24287, 24290, 24293, 24296, 24362, 24221, 24365, 24260, 24223, 24222, 24367, 24224, 24369, 24371, 24240, 24245, 24249, 24253, 24377, 24259, 24257, 24379, 24260, 24264, 24262, 24381, 24383, 24386, 24388, 24285, 24287, 24288, 24290, 24291, 24293, 24294, 24296, 24394, 24396, 24398, 24402, 24405, 24309, 24408, 24410, 24411, 24412, 24322, 24320, 24413, 24328, 24326, 24414, 24415, 24332, 24330, 24416, 24420, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 24436, 24440, 24442, 24443, 24446, 24447, 24452, 24454, 24455, 24459, 24462, 24463, 24467, 24468, 24473, 24476, 24477, 24478, 24484, 24486, 24492, 24494, 24499, 24508, 24514, 24523, 24524, 24525, 24527, 24528, 24530, 24532, 24533, 24536, 24537, 24538, 24540, 24541, 24542, 24548, 24560, 24562, 24566, 24567, 24568, 24575, 24576, 24581, 24582, 24583, 24584, 24591, 24592, 24593, 24594, 24601, 24602, 24605, 24612, 24626, 24644, 24654, 24656, 24661, 24663, 24664, 24668, 24673, 24675, 24680, 24682, 24686, 24689, 24691, 24692, 24693, 24695, 24696, 24697, 24698, 24700, 24701, 24702, 24703, 24704, 24705, 24708, 24709, 24711, 24712, 24713, 24714, 24715, 24716, 24719, 24720, 24722, 24723, 24725, 24726, 24728, 24729, 24730, 24731, 24732, 24733, 24736, 24737, 24738, 24745, 24746, 24747, 24754, 24755, 24758, 24761, 24769, 24776, 24789, 24793, 24794, 24800, 24803, 24807, 24809, 24817, 24819, 24824, 24826, 24827, 24829, 24830, 24831, 24833, 24834, 24835, 24837, 24838, 24839, 24841, 24842, 24844, 24846, 24433, 23113, 23110, 22999, 24854, 24855, 24856, 24857, 24858, 24861, 24862, 24863, 24864, 24439, 23008, 24865, 24866, 23889, 24208, 23776, 23846, 24208, 24868, 24445, 24449, 24077, 24797, 24801, 24871, 23045, 23042, 24872, 23061, 24873, 24874, 24875, 23074, 23071, 24466, 24465, 24876, 24877, 24878, 24470, 24077, 24797, 24801, 24879, 23113, 23110, 23124, 24880, 24881, 24882, 24480, 24883, 24482, 24884, 24885, 23149, 24488, 24886, 23164, 23169, 24887, 24491, 24497, 24888, 24889, 24500, 24502, 23202, 23209, 24505, 23212, 24890, 24891, 24892, 24893, 23228, 24513, 24894, 24895, 24896, 24516, 24897, 24898, 23250, 24519, 24899, 24521, 24522, 24900, 24901, 24545, 24546, 24906, 24907, 24550, 24908, 23347, 23344, 23350, 23356, 24555, 24909, 24910, 24911, 24558, 24912, 23373, 23381, 24913, 24565, 24914, 24571, 24918, 23403, 24574, 23417, 24579, 24578, 24587, 24589, 24597, 24919, 23466, 24600, 23480, 24604, 24920, 23495, 23492, 23498, 24610, 23505, 23513, 24921, 23521, 23518, 23524, 24620, 24922, 23535, 21896, 24923, 24924, 24925, 24625, 23541, 24628, 24926, 24927, 24928, 24929, 24930, 24931, 24932, 24630, 23568, 23574, 23571, 23577, 23583, 24636, 24933, 24934, 24935, 23592, 23589, 23595, 24642, 23602, 23610, 24936, 24937, 23618, 23615, 23621, 24652, 24938, 24653, 24939, 24940, 24941, 24942, 24659, 24943, 24944, 24945, 24662, 24666, 24946, 24669, 24670, 24672, 24947, 23695, 24948, 24677, 24679, 24949, 23718, 24950, 24951, 24685, 24952, 23739, 23742, 24953, 24954, 23776, 23889, 24208, 24959, 24960, 23801, 24961, 24962, 23835, 23855, 23864, 23855, 23864, 24963, 24964, 23846, 23855, 23864, 24966, 24967, 23889, 24741, 24742, 24968, 24969, 24744, 24750, 24751, 24970, 24971, 24753, 23948, 24757, 24972, 23963, 23960, 24763, 24973, 24766, 22415, 24974, 24975, 24976, 23987, 23984, 24771, 24977, 24003, 24000, 24978, 24979, 24980, 24012, 24009, 24778, 24779, 24028, 24781, 24981, 24982, 24983, 24037, 24034, 24040, 24787, 24047, 24055, 24984, 24985, 24986, 24796, 24077, 24797, 24801, 24987, 24805, 24988, 24104, 24112, 24989, 24813, 24815, 24990, 24131, 24139, 24991, 24823, 24994, 24208, 24996, 24998, 25001, 24278, 24849, 24284, 24850, 25003, 24851, 25004, 24852, 25005, 24853, 25006, 25007, 25008, 24956, 25010, 25011, 25012, 25014, 24958, 24228, 24235, 25017, 25018, 25019, 25020, 24867, 25022, 25023, 25025, 25026, 25027, 24869, 25029, 24915, 24870, 24902, 24278, 24904, 24284, 25032, 25033, 25034, 25035, 25036, 25037, 25038, 25039, 24997, 24999, 24915, 24917, 24992, 24993, 24995, 24997, 24999, 25044, 25045, 24956, 24957, 24958, 25050, 25051, 24965, 25053, 25054, 25057, 25058, 24992, 24993, 24995, 24997, 24999, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25215, 25216, 25217, 22996, 25112, 22997, 25218, 24434, 25219, 25072, 25228, 25229, 25173, 25175, 25177, 25232, 25211, 22673, 25214, 25233, 25151, 25234, 25177, 25235, 25211, 22673, 25214, 25236, 23025, 23021, 25238, 25077, 25239, 25240, 25241, 25193, 25242, 25194, 25244, 25245, 23049, 25079, 23058, 25247, 25248, 25251, 25252, 24460, 25082, 23087, 25253, 25254, 25255, 25085, 25258, 25259, 25260, 25193, 25261, 25194, 25263, 25264, 24474, 25112, 23123, 25265, 21423, 25266, 25089, 25269, 25271, 25272, 25274, 25091, 25275, 25277, 25278, 25280, 24495, 24493, 25281, 25094, 25284, 25285, 25286, 25287, 25288, 25289, 24510, 25290, 25292, 25294, 25295, 21554, 25297, 25299, 25302, 25303, 25305, 25306, 25098, 24526, 25101, 23288, 25098, 24526, 25101, 23288, 25103, 21622, 25105, 21631, 25214, 23310, 25103, 21622, 25105, 21631, 25214, 23310, 24543, 21644, 21640, 25309, 25310, 25111, 25313, 25315, 25316, 25317, 25318, 25319, 25320, 25323, 25112, 25325, 25326, 23378, 25328, 25200, 24828, 24569, 21735, 21731, 25330, 25332, 25333, 25118, 25334, 25335, 25336, 25119, 24585, 21783, 21779, 25337, 25338, 25123, 24595, 21809, 21805, 25339, 25341, 25342, 25128, 25343, 25344, 25129, 25346, 25347, 25348, 25349, 25350, 25351, 24614, 25353, 25354, 25355, 25356, 25358, 25359, 25360, 25363, 25364, 23549, 25365, 25367, 25370, 25373, 25374, 25375, 25376, 25377, 25378, 25379, 25380, 25383, 25384, 25385, 25386, 25387, 25388, 24646, 25389, 25391, 25392, 25393, 25394, 25396, 25398, 24657, 24655, 25401, 25402, 25135, 25405, 25137, 25406, 25138, 25408, 25409, 25410, 25139, 25412, 23700, 25414, 25415, 25141, 25417, 22130, 25418, 25420, 25143, 25422, 25423, 25424, 25145, 23757, 25148, 23768, 25151, 25426, 25177, 25427, 25211, 22673, 25214, 25428, 25153, 25155, 25157, 25431, 25158, 22229, 25161, 25163, 25165, 25434, 25166, 22268, 25169, 25435, 25171, 25436, 25169, 25437, 25171, 25438, 25173, 25175, 25177, 25441, 25211, 22673, 25169, 25442, 25171, 25443, 25173, 25175, 25177, 25446, 25211, 22673, 24739, 22327, 22323, 25447, 25448, 25451, 24748, 22355, 22351, 25452, 25453, 25456, 25185, 25457, 25458, 25186, 25460, 25461, 23967, 25462, 25464, 25465, 25466, 25469, 25470, 23991, 25471, 25473, 25474, 25475, 25478, 25479, 24016, 25480, 25481, 25482, 25483, 25484, 25487, 25488, 25489, 25490, 25491, 25492, 24791, 25493, 24067, 24063, 25496, 25497, 25498, 25193, 25499, 25194, 25501, 25195, 25503, 25504, 24811, 25506, 25507, 25197, 25509, 25510, 24821, 25512, 25200, 24828, 25203, 24832, 25206, 24836, 25209, 24188, 25211, 22673, 25214, 25514, 25518, 25519, 25520, 25521, 25523, 25525, 25527, 25531, 25533, 25536, 25222, 25537, 25223, 25538, 25224, 25225, 25226, 25227, 25543, 25544, 25547, 25237, 25549, 25551, 25552, 25553, 25554, 25555, 25556, 25329, 25565, 25516, 25566, 25567, 25568, 25569, 25570, 25513, 25571, 25515, 25572, 25516, 25573, 25576, 25577, 25578, 25579, 25581, 25582, 25584, 25586, 25587, 25513, 25588, 25515, 25589, 25516, 25590, 25560, 25558, 25564, 25562, 8, 9, 10, 11, 12, 13, 14, 15, 25601, 25603, 25604, 25605, 25607, 25608, 25609, 25610, 25612, 25613, 25614, 25616, 25617, 25618, 25620, 25622, 25624, 25625, 25626, 25628, 25629, 25631, 25633, 25635, 25636, 25637, 25638, 25640, 25641, 25642, 25246, 25644, 25645, 25647, 25648, 25649, 25650, 25652, 25653, 25655, 25657, 25658, 25659, 25660, 25662, 25663, 25664, 25666, 25667, 25668, 25673, 25676, 25678, 25679, 25681, 25685, 25688, 25693, 25695, 25699, 25700, 25701, 25702, 25703, 25704, 25705, 25706, 25707, 25708, 25709, 25710, 25711, 25712, 25713, 25714, 25715, 25716, 25717, 25718, 25719, 25720, 25721, 25722, 25724, 25725, 25727, 25730, 25732, 25734, 25737, 25327, 25739, 25740, 25741, 25742, 25743, 25331, 25747, 25749, 25751, 25752, 25753, 25754, 25757, 25758, 25759, 25760, 25340, 25764, 25766, 25767, 25768, 25774, 25775, 25779, 25781, 25782, 25784, 25786, 25787, 25790, 25793, 25795, 25796, 25802, 25804, 25808, 25809, 25810, 25811, 25814, 25816, 25818, 25822, 25824, 25413, 25827, 25829, 25832, 25836, 25837, 25838, 25839, 25840, 25842, 25844, 25845, 25846, 25848, 25849, 25850, 25852, 25853, 25854, 25855, 25856, 25858, 25859, 25860, 25862, 25864, 25866, 25868, 25869, 25870, 25872, 25873, 25874, 25876, 25878, 25879, 25880, 25882, 25883, 25884, 25885, 25886, 25888, 25890, 25891, 25892, 25894, 25896, 25898, 25899, 25900, 25902, 25904, 25906, 25907, 25909, 25911, 25913, 25914, 25916, 25919, 25921, 25922, 25928, 25929, 25930, 25931, 25933, 25935, 25936, 25937, 25939, 25942, 25505, 25945, 25948, 25511, 25950, 25951, 25952, 25953, 25954, 25955, 25956, 25957, 25958, 25959, 25960, 25672, 25670, 25675, 25682, 25684, 25296, 25691, 25304, 25395, 25366, 25357, 25789, 25926, 25815, 25820, 25411, 25416, 25421, 25835, 25672, 25670, 25675, 25682, 25684, 25296, 25691, 25304, 25972, 25974, 25976, 25977, 25978, 25979, 25395, 25789, 25357, 25926, 25366, 25815, 25820, 25411, 25416, 25421, 25835, 25983, 25672, 25670, 25675, 25682, 25684, 25296, 25691, 25304, 25314, 25789, 25926, 25324, 25991, 25993, 25463, 25472, 25918, 25926, 25502, 25508, 25999, 26001, 26003, 25772, 25357, 25366, 25789, 25800, 25395, 25815, 25820, 25411, 25416, 25421, 25835, 25463, 25472, 25918, 25926, 25502, 25508, 26014, 26016, 26018, 25962, 25964, 25524, 25522, 25528, 25526, 25969, 25970, 25971, 25981, 25982, 25986, 25988, 25990, 26020, 26021, 26022, 26023, 25996, 25998, 26005, 26007, 26008, 26010, 26011, 26013, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25606, 26051, 25665, 26084, 26090, 26091, 26112, 26115, 25736, 26125, 26132, 26136, 25773, 25801, 26160, 26206, 26209, 26210, 26213, 25927, 26232, 25941, 25947, 25632, 26057, 26055, 26061, 26059, 26063, 26067, 26065, 26069, 25654, 26074, 26072, 26078, 26076, 25669, 26255, 26256, 25674, 25677, 26257, 26258, 26086, 26259, 25687, 25689, 26260, 26261, 25694, 26262, 26095, 26093, 26099, 26097, 26103, 26101, 26105, 26109, 26107, 26111, 25765, 26142, 26135, 25748, 26131, 25746, 25763, 26263, 25806, 26159, 26264, 26149, 26151, 26265, 25777, 26147, 25792, 26266, 26154, 26267, 25924, 26268, 26162, 25817, 26269, 26164, 25823, 26270, 26167, 25828, 26271, 25830, 25833, 26272, 26273, 26124, 26049, 25623, 25621, 25627, 26178, 25843, 25841, 25847, 25632, 26057, 26055, 26035, 26033, 25654, 26074, 26072, 26078, 26076, 25669, 26274, 26275, 25674, 25677, 26276, 26277, 26086, 25687, 26278, 25689, 26279, 26280, 25694, 26281, 26095, 26093, 26099, 26097, 26103, 26101, 26105, 26109, 26107, 26111, 25748, 26131, 25765, 26142, 26135, 25763, 25746, 26288, 25806, 26159, 25792, 26289, 26154, 26290, 25777, 26147, 26291, 25924, 26292, 26149, 26151, 26293, 26162, 25817, 26294, 26164, 25823, 26295, 26167, 25828, 26296, 25830, 25833, 26297, 26298, 26044, 25615, 25231, 25230, 25619, 26049, 25623, 25621, 25627, 26178, 25843, 25841, 25847, 26124, 25632, 26057, 26055, 26061, 26059, 26063, 26067, 26065, 26069, 25654, 26074, 26072, 26078, 26076, 25669, 26300, 26301, 25674, 25677, 26302, 26303, 26086, 25687, 26304, 25689, 26305, 26306, 25694, 26307, 26095, 26093, 26099, 26097, 26103, 26101, 26105, 26109, 26107, 26111, 25897, 26216, 25729, 26308, 26119, 25792, 26309, 26154, 26310, 25924, 26237, 26235, 25735, 26311, 26253, 26251, 25961, 26124, 25897, 26216, 26314, 26218, 26220, 26315, 26222, 26224, 26316, 26226, 26228, 26317, 25924, 26237, 26235, 25940, 26318, 25946, 26319, 26245, 26247, 26249, 26253, 26251, 25961, 25746, 25748, 26131, 26135, 25763, 25765, 26142, 26323, 25770, 26324, 25777, 26147, 26325, 26149, 26151, 25792, 26326, 26154, 26327, 25798, 26328, 25806, 26159, 26329, 26162, 25817, 26330, 26164, 25823, 26331, 26167, 25828, 26332, 25830, 25833, 26333, 26334, 26174, 26172, 26178, 25843, 25841, 25847, 26184, 25851, 25430, 25429, 26189, 25857, 25433, 25432, 25861, 25863, 25865, 25867, 26198, 25871, 25440, 25439, 25875, 25877, 26205, 25881, 25445, 25444, 25897, 26216, 26335, 26218, 26220, 26336, 26222, 26224, 26337, 26226, 26228, 26338, 25924, 26237, 26235, 25940, 26339, 25946, 26340, 26245, 26247, 26249, 26253, 26251, 25961, 26344, 26345, 26346, 26347, 26348, 26349, 26350, 26351, 26352, 25973, 25975, 25540, 25539, 25542, 25541, 26353, 26354, 25984, 26355, 26356, 26357, 26358, 26360, 25994, 25992, 26362, 26363, 26000, 26004, 26002, 26364, 26365, 26366, 26367, 26368, 26369, 26015, 26019, 26017, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 26390, 26393, 26394, 26395, 26399, 26401, 26407, 25630, 26408, 26409, 26410, 26411, 26412, 26413, 26414, 26415, 26416, 26417, 26418, 26419, 26420, 26080, 26421, 26422, 26424, 26425, 25680, 26428, 26430, 26431, 26432, 26434, 25696, 26389, 26436, 26437, 26438, 26439, 26440, 26441, 26442, 26443, 26444, 26445, 26446, 26447, 26448, 26449, 26450, 26451, 26452, 26454, 26455, 26457, 26458, 26460, 26461, 26462, 26464, 26466, 26231, 25812, 26468, 26469, 26471, 26472, 26474, 26475, 26477, 26478, 26481, 26482, 26483, 26484, 26485, 26486, 26487, 26488, 26489, 26490, 25630, 26491, 26492, 26493, 26494, 26037, 26495, 26496, 26497, 26498, 26499, 26080, 26500, 26501, 26503, 26504, 25680, 26507, 26508, 26510, 26511, 26513, 25696, 26389, 26515, 26516, 26517, 26518, 26519, 26520, 26521, 26522, 26523, 26524, 26525, 26526, 26527, 26528, 26529, 26530, 26531, 26533, 26534, 26535, 26537, 26539, 26540, 26542, 26231, 26544, 26545, 25812, 26547, 26548, 26550, 26551, 26553, 26554, 26556, 26557, 26560, 26561, 26562, 26563, 26564, 26565, 26566, 26567, 26568, 26569, 26570, 26571, 26572, 26573, 26574, 25630, 26575, 26576, 26577, 26578, 26579, 26580, 26581, 26582, 26583, 26584, 26585, 26586, 26587, 26080, 26588, 26589, 26591, 26592, 25680, 26595, 26596, 26598, 26599, 26601, 25696, 26389, 26603, 26604, 26605, 26606, 26607, 26608, 26609, 26610, 26611, 26612, 26116, 26613, 26614, 26615, 26617, 26618, 26620, 26622, 26231, 25932, 26623, 26624, 26625, 26122, 26627, 26628, 26629, 26630, 25889, 25895, 26631, 26632, 26634, 26635, 26637, 26638, 26640, 26641, 26643, 26231, 25932, 26644, 26645, 26646, 26240, 26648, 26243, 26650, 26651, 26652, 26653, 26654, 26655, 26656, 26657, 26658, 26659, 26660, 26661, 26662, 26664, 25352, 26666, 26667, 26669, 26670, 26671, 26673, 26675, 25803, 26677, 26678, 25812, 26680, 26681, 26683, 26684, 26686, 26687, 26689, 26690, 26693, 26694, 26695, 26696, 26697, 26698, 26699, 26700, 26701, 26702, 26703, 26704, 26705, 26706, 26707, 26708, 26709, 26710, 26711, 26712, 26713, 26714, 26715, 26716, 26717, 26718, 26719, 26720, 25889, 25895, 26721, 26722, 26724, 26725, 26727, 26728, 26730, 26731, 26733, 26231, 25932, 26734, 26735, 26736, 26240, 26738, 26243, 26740, 26741, 26742, 26743, 26744, 26745, 26748, 26750, 26755, 26756, 26757, 26758, 26759, 26760, 26763, 26769, 26770, 26773, 26774, 26775, 26782, 26783, 26784, 13, 14, 15, 26807, 26808, 26810, 26813, 26817, 26819, 26821, 26825, 26826, 26427, 26429, 26832, 26833, 26834, 26836, 26838, 26841, 25755, 25744, 25761, 26453, 26456, 26459, 26857, 26465, 26860, 26861, 26467, 26470, 26865, 26867, 26869, 26871, 26875, 26880, 26881, 26883, 26885, 26887, 26889, 26891, 26895, 26896, 26506, 26898, 26902, 26903, 26904, 26906, 26908, 26911, 25755, 25761, 25744, 26532, 26923, 26538, 26541, 26928, 26543, 26931, 26546, 26549, 26935, 26937, 26939, 26940, 26942, 26945, 26949, 26955, 26956, 26958, 26961, 26965, 26967, 26969, 26973, 26974, 26594, 26976, 26980, 26981, 26982, 26984, 26986, 26989, 25723, 26992, 26995, 26997, 26621, 27000, 27001, 27002, 27004, 27005, 27006, 25887, 27010, 25893, 27011, 26633, 26636, 26639, 26642, 27021, 27022, 27023, 27025, 27026, 27027, 27028, 27032, 25744, 25755, 25761, 26663, 27043, 26665, 26668, 27048, 26674, 27051, 26676, 27054, 26679, 26682, 27058, 27060, 27062, 27063, 27065, 27069, 27071, 27073, 27075, 27081, 27083, 27087, 27089, 25887, 27091, 25893, 27092, 26723, 26726, 26729, 26732, 27102, 27103, 27104, 27106, 27107, 27108, 27109, 27113, 26823, 26831, 24359, 24361, 26845, 26848, 25529, 24366, 24368, 26893, 26901, 24374, 27120, 24376, 27122, 26915, 26917, 24378, 24380, 24382, 25550, 26971, 26979, 24391, 24393, 26994, 24395, 27125, 25041, 27013, 25042, 24401, 24400, 24404, 27128, 27037, 27041, 24409, 22960, 22959, 22962, 22961, 22967, 22966, 27094, 25059, 24419, 24418, 24422, 27131, 15, 26806, 26435, 27153, 27154, 27155, 27168, 27169, 26879, 26514, 27187, 27188, 27189, 27202, 27204, 27205, 26954, 26602, 27223, 27234, 27236, 27250, 27251, 27252, 27268, 27269, 27271, 27273, 27275, 27277, 27279, 26815, 26812, 27140, 27142, 27145, 27143, 27293, 27294, 26829, 25000, 25002, 27295, 24358, 27296, 24360, 27297, 27298, 26858, 27161, 26852, 26854, 26856, 27164, 27163, 26480, 26868, 26866, 27299, 27300, 27301, 27173, 27174, 27176, 27179, 27177, 27302, 27303, 26899, 25015, 25016, 27304, 24373, 27306, 24375, 27308, 27309, 27194, 26930, 26926, 26922, 26924, 27198, 27197, 26559, 26938, 26936, 27310, 27311, 27312, 27313, 26963, 26960, 27210, 27212, 27215, 27213, 27314, 27315, 26977, 25030, 25031, 27316, 24390, 27317, 24392, 27318, 27228, 26998, 26996, 27230, 27232, 27319, 25040, 27321, 27322, 27242, 27019, 27017, 27015, 27244, 27248, 27246, 27323, 27324, 27325, 27326, 25043, 27328, 27329, 27045, 27053, 27049, 27254, 27047, 27259, 27263, 27262, 26692, 27061, 27059, 25574, 27330, 27331, 27332, 27333, 27334, 27335, 27336, 27337, 27285, 27100, 27098, 27096, 27287, 27291, 27289, 27338, 27339, 27340, 27341, 25060, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27137, 27374, 27375, 27376, 27377, 27378, 27379, 27148, 27382, 27383, 27384, 27386, 27388, 26850, 26846, 26849, 27391, 27392, 27393, 27394, 27395, 27396, 27397, 27398, 27399, 27400, 25009, 25013, 27171, 27404, 27405, 27406, 27407, 27408, 27182, 27411, 27412, 27413, 27415, 27417, 26920, 26919, 26918, 27420, 27421, 27422, 27423, 27424, 27425, 27426, 27427, 27428, 27429, 25021, 25024, 25028, 27207, 27434, 27435, 27436, 27437, 27438, 27439, 27218, 27442, 27443, 27444, 27446, 27448, 27224, 27450, 27451, 27452, 27453, 27454, 27456, 27237, 27235, 27459, 27460, 27461, 27462, 27463, 27464, 27465, 27467, 27470, 27038, 27035, 27039, 27471, 27473, 27474, 27475, 27476, 27477, 27478, 27479, 27480, 27481, 27482, 27483, 27484, 25046, 25048, 25047, 27486, 25052, 25055, 27280, 27278, 27493, 27494, 27495, 27496, 27497, 27498, 27499, 27501, 27504, 26752, 26764, 26771, 26772, 26781, 13, 14, 15, 27520, 27521, 27525, 27527, 27385, 27387, 27533, 27534, 27535, 27536, 27538, 27541, 27543, 27546, 27547, 27548, 27552, 27554, 27414, 27416, 27560, 27561, 27562, 27563, 27565, 27568, 27570, 27573, 27574, 27575, 27576, 27577, 27581, 27583, 27445, 27447, 27589, 27590, 27455, 27596, 27597, 27598, 27600, 27603, 27469, 27607, 27608, 27609, 27611, 27613, 27615, 27617, 27619, 27623, 27624, 27625, 27627, 27628, 27629, 27630, 27631, 27633, 27636, 27503, 27524, 26747, 26746, 27640, 27551, 27119, 27118, 27641, 27580, 26766, 26765, 27594, 27642, 27127, 27643, 26776, 27130, 27644, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27650, 27651, 27389, 27655, 27657, 27660, 27402, 27403, 27664, 27665, 27668, 27669, 27671, 27674, 27430, 27431, 27432, 27680, 27681, 27449, 27685, 27458, 27689, 27693, 27696, 27700, 27485, 27702, 27704, 27705, 27492, 27708, 27712, 27649, 27117, 27116, 27713, 27714, 27716, 27549, 27307, 27305, 27717, 27718, 27720, 27679, 26768, 26767, 27721, 27722, 27723, 27320, 27691, 27327, 27725, 27727, 27710, 27342, 27728, 11, 12, 13, 14, 15, 27745, 27746, 27748, 27753, 27754, 27756, 27762, 27765, 27767, 27768, 27626, 27772, 27773, 27774, 27777, 27778, 27779, 27780, 27749, 26754, 26753, 27783, 27784, 27785, 27786, 27757, 27124, 26762, 26761, 27789, 27790, 27791, 27792, 27764, 27795, 27796, 27797, 27769, 26777, 27800, 27801, 9, 10, 11, 12, 13, 14, 15, 27809, 27812, 27816, 27808, 27823, 27826, 27827, 27828, 27811, 27830, 27833, 27834, 27835, 27836, 27814, 27838, 27841, 27724, 27766, 27844, 27845, 27846, 26779, 26780, 26778, 27775, 27848, 11, 12, 13, 14, 15, 27859, 27860, 27810, 27862, 27864, 27865, 27813, 27719, 27868, 27870, 27871, 27794, 27874, 27875, 27817, 27878, 27879, 27880, 27881, 27882, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27888, 27890, 27891, 27892, 27894, 27895, 27897, 27843, 27902, 27877, 27904, 27847, 27873, 13, 14, 15, 27920, 27861, 27923, 27866, 27926, 27876, 27929, 27932, 27901, 27907, 10, 11, 12, 13, 14, 15, 27942, 27898, 27922, 27893, 27889, 27944, 27945, 27925, 8, 9, 10, 11, 12, 13, 14, 15, 27952, 27953, 27954, 27955, 27956, 27959, 27957, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27968, 27943, 27971, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27984, 27986, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 28000, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 28016, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 28032, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15};
int h_C[]= {
1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99, 101, 103, 105, 107, 109, 111, 113, 115, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 149, 151, 153, 155, 157, 159, 161, 163, 165, 167, 169, 171, 173, 175, 177, 179, 181, 183, 185, 187, 189, 191, 193, 195, 197, 199, 201, 203, 205, 207, 209, 211, 213, 215, 217, 219, 221, 223, 225, 227, 229, 231, 233, 235, 237, 239, 241, 243, 245, 247, 249, 251, 253, 255, 257, 259, 261, 263, 265, 267, 269, 271, 273, 275, 277, 279, 281, 283, 285, 287, 289, 291, 293, 295, 297, 299, 301, 303, 305, 307, 309, 311, 313, 315, 317, 319, 321, 323, 325, 327, 329, 331, 333, 335, 337, 339, 341, 343, 345, 347, 349, 351, 353, 355, 357, 359, 361, 363, 365, 367, 369, 371, 375, 377, 379, 381, 383, 385, 387, 389, 391, 393, 395, 397, 399, 401, 403, 405, 407, 409, 411, 413, 415, 417, 419, 421, 423, 425, 427, 429, 431, 433, 435, 437, 439, 441, 443, 445, 447, 449, 451, 453, 455, 457, 459, 461, 463, 465, 467, 469, 471, 473, 475, 477, 479, 481, 483, 485, 487, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507, 509, 511, 513, 515, 517, 519, 521, 523, 525, 527, 529, 531, 533, 535, 537, 539, 541, 543, 545, 547, 549, 551, 553, 555, 557, 559, 561, 563, 565, 567, 569, 571, 573, 575, 577, 579, 581, 583, 585, 587, 589, 591, 593, 595, 597, 599, 601, 603, 605, 607, 609, 611, 613, 615, 617, 619, 621, 623, 625, 627, 629, 631, 633, 635, 637, 639, 641, 643, 645, 647, 649, 651, 653, 655, 657, 659, 661, 663, 665, 667, 669, 671, 673, 675, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 703, 705, 707, 709, 711, 713, 715, 717, 719, 721, 723, 725, 727, 729, 731, 733, 735, 737, 739, 741, 743, 745, 747, 749, 751, 753, 755, 757, 759, 761, 763, 765, 767, 769, 771, 773, 775, 777, 779, 781, 783, 785, 787, 789, 791, 793, 795, 797, 799, 801, 803, 805, 807, 809, 811, 813, 815, 817, 819, 821, 823, 825, 827, 829, 831, 833, 835, 837, 839, 841, 843, 845, 847, 849, 851, 853, 855, 857, 859, 861, 863, 865, 867, 869, 871, 873, 875, 877, 879, 881, 883, 885, 887, 889, 891, 893, 895, 897, 899, 901, 903, 905, 907, 909, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 935, 937, 939, 941, 943, 945, 947, 949, 951, 953, 955, 957, 959, 961, 963, 965, 967, 969, 971, 973, 975, 977, 979, 981, 983, 985, 987, 989, 991, 993, 995, 997, 999, 1001, 1003, 1005, 1007, 1009, 1011, 1013, 1015, 1017, 1019, 1021, 1023, 1025, 1027, 1029, 1031, 1033, 1035, 1037, 1039, 1041, 1043, 1045, 1047, 1049, 1051, 1053, 1055, 1057, 1059, 1061, 1063, 1065, 1067, 1069, 1071, 1073, 1075, 1077, 1079, 1081, 1083, 1085, 1087, 1089, 1091, 1093, 1095, 1097, 1099, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1121, 1123, 1125, 1127, 1129, 1131, 1133, 1135, 1137, 1139, 1141, 1143, 1145, 1147, 1149, 1151, 1153, 1155, 1157, 1159, 1161, 1163, 1165, 1167, 1169, 1171, 1173, 1175, 1177, 1179, 1181, 1183, 1185, 1187, 1189, 1191, 1193, 1195, 1197, 1199, 1201, 1203, 1205, 1207, 1209, 1211, 1213, 1215, 1217, 1219, 1221, 1223, 1225, 1227, 1229, 1231, 1233, 1235, 1237, 1239, 1241, 1243, 1245, 1247, 1249, 1251, 1253, 1255, 1257, 1259, 1261, 1263, 1265, 1267, 1269, 1271, 1273, 1275, 1277, 1279, 1281, 1283, 1285, 1287, 1289, 1291, 1293, 1295, 1297, 1299, 1301, 1303, 1305, 1307, 1309, 1311, 1313, 1315, 1317, 1319, 1321, 1323, 1325, 1327, 1329, 1331, 1333, 1335, 1337, 1339, 1341, 1343, 1345, 1347, 1349, 1351, 1353, 1355, 1357, 1359, 1361, 1363, 1365, 1367, 1369, 1371, 1373, 1375, 1377, 1379, 1381, 1383, 1385, 1387, 1389, 1391, 1393, 1395, 1397, 1399, 1401, 1403, 1405, 1407, 1409, 1411, 1413, 1415, 1417, 1419, 1421, 1423, 1425, 1427, 1429, 1431, 1433, 1435, 1437, 1439, 1441, 1443, 1445, 1447, 1449, 1451, 1453, 1455, 1457, 1459, 1461, 1463, 1465, 1467, 1469, 1471, 1473, 1475, 1477, 1479, 1481, 1483, 1485, 1487, 1489, 1491, 1493, 1495, 1497, 1499, 1501, 1503, 1505, 1507, 1509, 1511, 1513, 1515, 1517, 1519, 1521, 1523, 1525, 1527, 1529, 1531, 1533, 1535, 1537, 1539, 1541, 1543, 1545, 1547, 1549, 1551, 1553, 1555, 1557, 1559, 1561, 1563, 1565, 1567, 1569, 1571, 1573, 1575, 1577, 1579, 1581, 1583, 1585, 1587, 1589, 1591, 1593, 1595, 1597, 1599, 1601, 1603, 1605, 1607, 1609, 1611, 1613, 1615, 1617, 1619, 1621, 1623, 1625, 1627, 1629, 1631, 1633, 1635, 1637, 1639, 1641, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1667, 1669, 1671, 1673, 1675, 1677, 1679, 1681, 1683, 1685, 1687, 1689, 1691, 1693, 1695, 1697, 1699, 1701, 1703, 1705, 1707, 1709, 1711, 1713, 1715, 1717, 1719, 1721, 1723, 1725, 1727, 1729, 1731, 1733, 1735, 1737, 1739, 1741, 1743, 1745, 1747, 1749, 1751, 1753, 1755, 1757, 1759, 1761, 1763, 1765, 1767, 1769, 1771, 1773, 1775, 1777, 1779, 1781, 1783, 1785, 1787, 1789, 1791, 1793, 1795, 1797, 1799, 1801, 1803, 1805, 1807, 1809, 1811, 1813, 1815, 1817, 1819, 1821, 1823, 1825, 1827, 1829, 1831, 1833, 1835, 1837, 1839, 1841, 1843, 1845, 1847, 1849, 1851, 1853, 1855, 1857, 1859, 1861, 1863, 1865, 1867, 1869, 1871, 1873, 1875, 1877, 1879, 1881, 1883, 1885, 1887, 1889, 1891, 1893, 1895, 1897, 1899, 1901, 1903, 1905, 1907, 1909, 1911, 1913, 1915, 1917, 1919, 1921, 1923, 1925, 1927, 1929, 1931, 1933, 1935, 1937, 1939, 1941, 1943, 1945, 1947, 1949, 1951, 1953, 1955, 1957, 1959, 1961, 1963, 1965, 1967, 1969, 1971, 1973, 1975, 1977, 1979, 1981, 1983, 1985, 1987, 1989, 1991, 1993, 1995, 1997, 1999, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2019, 2021, 2023, 2025, 2027, 2029, 2031, 2033, 2035, 2037, 2039, 2041, 2043, 2045, 2047, 2049, 2051, 2053, 2055, 2057, 2059, 2061, 2063, 2065, 2067, 2069, 2071, 2073, 2075, 2077, 2079, 2081, 2083, 2085, 2087, 2089, 2091, 2093, 2095, 2097, 2099, 2101, 2103, 2105, 2107, 2109, 2111, 2113, 2115, 2117, 2119, 2121, 2123, 2125, 2127, 2129, 2131, 2133, 2135, 2137, 2139, 2141, 2143, 2145, 2147, 2149, 2151, 2153, 2155, 2157, 2159, 2161, 2163, 2165, 2167, 2169, 2171, 2173, 2175, 2177, 2179, 2181, 2183, 2185, 2187, 2189, 2191, 2193, 2195, 2197, 2199, 2201, 2203, 2205, 2207, 2209, 2211, 2213, 2215, 2217, 2219, 2221, 2223, 2225, 2227, 2229, 2231, 2233, 2235, 2237, 2239, 2241, 2243, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2275, 2277, 2279, 2281, 2283, 2285, 2287, 2289, 2291, 2293, 2295, 2297, 2299, 2301, 2303, 2305, 2307, 2309, 2311, 2313, 2315, 2317, 2319, 2321, 2323, 2325, 2327, 2329, 2331, 2333, 2335, 2337, 2339, 2341, 2343, 2345, 2347, 2349, 2351, 2353, 2355, 2357, 2359, 2361, 2363, 2365, 2367, 2369, 2371, 2373, 2375, 2377, 2379, 2381, 2383, 2385, 2387, 2389, 2391, 2393, 2395, 2397, 2399, 2401, 2403, 2405, 2407, 2409, 2411, 2413, 2415, 2417, 2419, 2421, 2423, 2425, 2427, 2429, 2431, 2433, 2435, 2437, 2439, 2441, 2443, 2445, 2447, 2449, 2451, 2453, 2455, 2457, 2459, 2461, 2463, 2465, 2467, 2469, 2471, 2473, 2475, 2477, 2479, 2481, 2483, 2485, 2487, 2489, 2491, 2493, 2495, 2497, 2499, 2501, 2503, 2505, 2507, 2509, 2511, 2513, 2515, 2517, 2519, 2521, 2523, 2525, 2527, 2529, 2531, 2533, 2535, 2537, 2539, 2541, 2543, 2545, 2547, 2549, 2551, 2553, 2555, 2557, 2559, 2561, 2563, 2565, 2567, 2569, 2571, 2573, 2575, 2577, 2579, 2581, 2583, 2585, 2587, 2589, 2591, 2593, 2595, 2597, 2599, 2601, 2603, 2605, 2607, 2609, 2611, 2613, 2615, 2617, 2619, 2621, 2623, 2625, 2627, 2629, 2631, 2633, 2635, 2637, 2639, 2641, 2643, 2645, 2647, 2649, 2651, 2653, 2655, 2657, 2659, 2661, 2663, 2665, 2667, 2669, 2671, 2673, 2675, 2677, 2679, 2681, 2683, 2685, 2687, 2689, 2691, 2693, 2695, 2697, 2699, 2701, 2703, 2705, 2707, 2709, 2711, 2713, 2715, 2717, 2719, 2721, 2723, 2725, 2727, 2729, 2731, 2733, 2735, 2737, 2739, 2741, 2743, 2745, 2747, 2749, 2751, 2753, 2755, 2757, 2759, 2761, 2763, 2765, 2767, 2769, 2771, 2773, 2775, 2777, 2779, 2781, 2783, 2785, 2787, 2789, 2791, 2793, 2795, 2797, 2799, 2801, 2803, 2805, 2807, 2809, 2811, 2813, 2815, 2817, 2819, 2821, 2823, 2825, 2827, 2829, 2831, 2833, 2835, 2837, 2839, 2841, 2843, 2845, 2847, 2849, 2851, 2853, 2855, 2857, 2859, 2861, 2863, 2865, 2867, 2869, 2871, 2873, 2875, 2877, 2879, 2881, 2883, 2885, 2887, 2889, 2891, 2893, 2895, 2897, 2899, 2901, 2903, 2905, 2907, 2909, 2911, 2913, 2915, 2917, 2919, 2921, 2923, 2925, 2927, 2929, 2931, 2933, 2935, 2937, 2939, 2941, 2943, 2945, 2947, 2949, 2951, 2953, 2955, 2957, 2959, 2961, 2963, 2965, 2967, 2969, 2971, 2973, 2975, 2977, 2979, 2981, 2983, 2985, 2987, 2989, 2991, 2993, 2995, 2997, 2999, 3001, 3003, 3005, 3007, 3009, 3011, 3013, 3015, 3017, 3019, 3021, 3023, 3025, 3027, 3029, 3031, 3033, 3035, 3037, 3039, 3041, 3043, 3045, 3047, 3049, 3051, 3053, 3055, 3057, 3059, 3061, 3063, 3065, 3067, 3069, 3071, 3073, 3075, 3077, 3079, 3081, 3083, 3085, 3087, 3089, 3091, 3093, 3095, 3097, 3099, 3101, 3103, 3105, 3107, 3109, 3111, 3113, 3115, 3117, 3119, 3121, 3123, 3125, 3127, 3129, 3131, 3133, 3135, 3137, 3139, 3141, 3143, 3145, 3147, 3149, 3151, 3153, 3155, 3157, 3159, 3161, 3163, 3165, 3167, 3169, 3171, 3173, 3175, 3177, 3179, 3181, 3183, 3185, 3187, 3189, 3191, 3193, 3195, 3197, 3199, 3201, 3203, 3205, 3207, 3209, 3211, 3213, 3215, 3217, 3219, 3221, 3223, 3225, 3227, 3229, 3231, 3233, 3235, 3237, 3239, 3241, 3243, 3245, 3247, 3249, 3251, 3253, 3257, 3259, 3261, 3263, 3265, 3267, 3269, 3271, 3273, 3275, 3277, 3279, 3281, 3283, 3285, 3287, 3289, 3291, 3293, 3295, 3297, 3299, 3301, 3303, 3305, 3307, 3309, 3311, 3313, 3315, 3317, 3319, 3321, 3323, 3325, 3327, 3329, 3331, 3333, 3335, 3337, 3339, 3341, 3343, 3345, 3347, 3349, 3351, 3353, 3355, 3357, 3359, 3361, 3363, 3365, 3367, 3369, 3371, 3373, 3375, 3377, 3379, 3381, 3383, 3385, 3387, 3389, 3391, 3393, 3395, 3397, 3399, 3401, 3403, 3405, 3407, 3409, 3411, 3413, 3415, 3417, 3419, 3421, 3423, 3425, 3427, 3429, 3431, 3433, 3435, 3437, 3439, 3441, 3443, 3445, 3447, 3449, 3451, 3453, 3455, 3457, 3459, 3461, 3463, 3465, 3467, 3469, 3471, 3473, 3475, 3477, 3479, 3481, 3483, 3485, 3487, 3489, 3491, 3493, 3495, 3497, 3499, 3501, 3503, 3505, 3507, 3509, 3511, 3514, 3516, 3518, 3520, 3522, 3524, 3526, 3528, 3530, 3532, 3534, 3536, 3538, 3540, 3542, 3544, 3546, 3548, 3550, 3552, 3554, 3556, 3558, 3560, 3563, 3565, 3567, 3569, 3571, 3573, 3576, 3578, 3580, 3582, 3585, 3587, 3590, 3592, 3597, 3599, 3608, 3610, 3612, 3614, 3617, 3619, 3622, 3624, 3630, 3632, 3634, 3636, 3639, 3641, 3644, 3646, 3652, 3654, 3656, 3658, 3660, 3662, 3664, 3666, 3668, 3670, 3672, 3674, 3676, 3678, 3680, 3682, 3684, 3686, 3688, 3690, 3693, 3695, 3697, 3699, 3702, 3704, 3706, 3708, 3710, 3712, 3714, 3716, 3718, 3720, 3722, 3724, 3726, 3728, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3761, 3763, 3765, 3767, 3769, 3771, 3773, 3775, 3777, 3779, 3781, 3783, 3785, 3788, 3790, 3793, 3795, 3798, 3800, 3803, 3805, 3808, 3810, 3812, 3814, 3817, 3819, 3822, 3824, 3829, 3831, 3834, 3836, 3840, 3842, 3845, 3847, 3850, 3852, 3854, 3856, 3859, 3861, 3863, 3865, 3869, 3871, 3874, 3876, 3879, 3881, 3884, 3886, 3888, 3890, 3892, 3894, 3896, 3898, 3900, 3902, 3904, 3906, 3908, 3910, 3913, 3915, 3917, 3919, 3921, 3923, 3925, 3927, 3929, 3931, 3933, 3935, 3937, 3939, 3941, 3943, 3945, 3947, 3949, 3951, 3953, 3955, 3957, 3959, 3961, 3963, 3965, 3967, 3969, 3971, 3973, 3975, 3978, 3980, 3982, 3984, 3986, 3988, 3990, 3992, 3995, 3997, 4000, 4002, 4008, 4010, 4012, 4014, 4017, 4019, 4021, 4023, 4026, 4028, 4031, 4033, 4038, 4040, 4042, 4044, 4047, 4049, 4052, 4054, 4060, 4062, 4068, 4070, 4073, 4075, 4077, 4079, 4081, 4083, 4085, 4087, 4089, 4091, 4093, 4095, 4097, 4099, 4101, 4103, 4108, 4110, 4112, 4114, 4116, 4118, 4121, 4123, 4126, 4128, 4134, 4136, 4141, 4143, 4146, 4148, 4150, 4152, 4154, 4156, 4158, 4160, 4162, 4164, 4166, 4168, 4174, 4176, 4179, 4181, 4184, 4186, 4189, 4191, 4197, 4199, 4201, 4203, 4205, 4207, 4209, 4211, 4213, 4215, 4217, 4219, 4221, 4223, 4225, 4227, 4229, 4231, 4233, 4235, 4237, 4239, 4241, 4243, 4245, 4247, 4249, 4251, 4253, 4255, 4257, 4259, 4261, 4263, 4265, 4267, 4269, 4271, 4273, 4275, 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23975, 23977, 19902, 23983, 23986, 23989, 23993, 23995, 23999, 24002, 24008, 24011, 24014, 24018, 24020, 21024, 24024, 22477, 24027, 24033, 24036, 24039, 24042, 24044, 24046, 24049, 24051, 22511, 24054, 24061, 24065, 24069, 24071, 24074, 24076, 22545, 24080, 24086, 22556, 24089, 24092, 24094, 24098, 24100, 24103, 24106, 24108, 19912, 24111, 24115, 24119, 24121, 24125, 24127, 24130, 24133, 24135, 19914, 24138, 24142, 24146, 24148, 24150, 24153, 24156, 24158, 24161, 24164, 24167, 24169, 24172, 24175, 24178, 24180, 24183, 24186, 24190, 24192, 24195, 24197, 24199, 24201, 24203, 24205, 24207, 24212, 24214, 24216, 24218, 24220, 23128, 23126, 21290, 24226, 24230, 24232, 24234, 24237, 24242, 24247, 24251, 23017, 23879, 24255, 24266, 24270, 24272, 24082, 23062, 23067, 23065, 21360, 23096, 23094, 21390, 24082, 23128, 23126, 21426, 23139, 23146, 23144, 23161, 23165, 23185, 23191, 23220, 23218, 23224, 23222, 23233, 23241, 23239, 23244, 23243, 23255, 23262, 23260, 24275, 24277, 24281, 24283, 23327, 23325, 23340, 23359, 23358, 23357, 23364, 23385, 24298, 24303, 24305, 24307, 23404, 23467, 23481, 23514, 23529, 23538, 23537, 23536, 23554, 23558, 23557, 23556, 23561, 23560, 23559, 23586, 23585, 23584, 23612, 23611, 23626, 23628, 23633, 23632, 23631, 23650, 23648, 23656, 23671, 23687, 23704, 23710, 23725, 23723, 23731, 23745, 23743, 24311, 24313, 24315, 24318, 23783, 23791, 23817, 23825, 23871, 23879, 24324, 23871, 23879, 23908, 23906, 23932, 23930, 23949, 23972, 23981, 23980, 23979, 23996, 24006, 24005, 24004, 24031, 24030, 24029, 24058, 24057, 24056, 24082, 24095, 24116, 24122, 24143, 24334, 24336, 24338, 24341, 24344, 24347, 24350, 24353, 24355, 24273, 24357, 24286, 24289, 24292, 24295, 24363, 21153, 22880, 21107, 24263, 24261, 22885, 21154, 24370, 24372, 24239, 24244, 24292, 24295, 22902, 24258, 24256, 22907, 21107, 24263, 24261, 22912, 24384, 24387, 24389, 22773, 24286, 22778, 24289, 22782, 24292, 22787, 24295, 22932, 24397, 24399, 24403, 24406, 21153, 22954, 20121, 20123, 10556, 24321, 24319, 22965, 24327, 24325, 22970, 10584, 24331, 24329, 24417, 24421, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 23005, 24441, 23020, 23024, 23032, 23035, 23048, 23054, 23057, 23077, 23083, 23086, 23100, 23103, 23116, 23122, 23131, 23134, 24485, 23156, 23175, 23179, 23190, 24509, 24515, 23269, 23272, 23275, 23280, 24529, 23287, 23293, 24534, 23302, 23305, 24539, 23313, 23316, 23319, 23335, 23370, 24563, 23389, 23392, 23395, 23411, 23414, 23427, 23430, 23433, 23436, 23449, 23452, 23455, 23458, 23474, 23477, 23489, 24613, 23548, 24645, 23636, 23641, 23655, 23663, 23666, 23676, 23692, 24676, 23715, 24683, 23736, 24690, 23753, 23756, 24694, 23764, 23767, 23771, 23774, 23779, 23782, 23787, 23790, 23795, 23798, 23806, 24710, 23813, 23816, 23821, 23824, 23829, 23832, 23840, 24721, 23849, 23852, 23858, 23861, 23867, 23870, 23875, 23878, 23883, 23886, 23894, 23897, 23900, 23918, 23921, 23924, 23942, 23945, 23957, 23966, 23990, 24015, 24790, 24062, 24066, 24081, 24090, 24101, 24810, 24128, 24820, 24825, 24151, 24154, 24159, 24162, 24165, 24170, 24173, 24176, 24181, 24184, 24187, 24193, 24843, 24845, 24847, 24432, 24472, 24471, 24564, 9273, 9274, 9275, 24227, 24859, 24238, 24243, 24248, 24252, 24438, 24437, 9317, 9319, 24734, 24848, 24699, 24734, 24848, 24267, 24444, 24448, 24798, 24072, 24084, 9387, 24451, 24450, 9394, 24456, 9396, 9397, 9398, 24458, 24457, 23091, 24464, 9406, 9407, 9408, 24469, 24798, 24072, 24084, 9415, 24472, 24471, 24564, 9424, 9425, 9426, 24479, 9429, 24481, 9431, 9432, 24483, 24487, 9436, 24489, 24490, 9439, 23170, 24496, 9444, 9446, 23193, 24501, 24503, 24506, 24504, 24507, 9454, 9455, 9456, 9457, 24511, 24512, 9460, 9462, 9463, 23245, 9465, 9466, 24517, 24518, 9469, 24520, 23264, 9472, 9473, 24544, 23329, 9563, 9564, 24549, 9567, 24552, 24551, 24553, 24556, 24554, 9573, 9574, 9575, 24557, 9577, 24561, 24564, 9582, 23382, 24299, 24570, 9624, 24572, 24573, 24577, 23421, 23418, 24586, 24588, 24596, 9642, 24598, 24599, 24603, 23483, 9648, 24607, 24606, 24608, 24609, 24611, 24615, 9657, 24617, 24616, 24618, 24619, 9662, 24622, 24621, 9665, 9666, 9667, 24624, 24623, 24627, 9672, 9673, 9674, 9675, 9676, 9677, 9678, 24629, 24631, 24633, 24632, 24634, 24637, 24635, 9686, 9687, 9688, 24639, 24638, 24640, 24641, 24643, 24647, 9696, 9697, 24649, 24648, 24650, 24651, 9702, 23629, 9704, 9705, 9706, 9707, 24658, 9711, 9712, 9714, 23658, 24665, 9718, 23677, 23680, 24671, 9723, 24674, 9727, 23701, 24678, 9730, 24681, 9734, 9735, 24684, 9737, 24687, 24688, 9741, 9742, 24699, 24734, 24848, 9784, 9786, 24706, 9794, 9796, 24717, 24724, 24727, 24724, 24727, 9828, 9830, 24734, 24724, 24727, 9857, 9859, 24734, 24740, 23910, 9882, 9883, 24743, 24749, 23934, 9890, 9891, 24752, 24756, 23951, 9896, 24760, 24759, 24762, 9902, 24765, 24764, 9905, 9906, 9907, 24768, 24767, 24770, 9912, 24773, 24772, 9915, 9916, 9917, 24775, 24774, 24777, 24021, 24782, 24780, 9925, 9926, 9927, 24784, 24783, 24785, 24786, 24788, 24792, 9935, 9936, 9937, 24795, 24798, 24072, 24084, 9945, 24804, 9948, 24808, 24812, 9953, 24113, 24814, 9956, 24818, 24822, 9961, 24140, 24339, 24848, 24345, 24351, 10074, 24903, 24210, 24905, 22714, 10090, 22778, 10092, 22782, 10101, 22787, 10103, 24364, 10148, 24955, 10159, 10160, 10161, 10171, 24268, 24903, 24860, 10224, 10226, 10235, 10237, 21102, 10289, 10290, 10300, 10301, 10302, 24268, 24385, 21114, 24916, 24273, 24903, 24279, 24905, 10373, 10374, 10375, 10376, 10384, 10385, 10386, 10387, 24300, 24301, 21142, 24916, 21175, 22804, 22805, 21148, 21149, 24407, 10525, 24955, 21154, 24316, 10557, 10558, 20080, 10571, 10572, 10585, 10586, 21175, 22842, 22848, 21181, 21182, 7, 8, 9, 10, 11, 12, 13, 14, 15, 9241, 9266, 9267, 25086, 24475, 25087, 9271, 25113, 25220, 24435, 9314, 9315, 25073, 25174, 25176, 9321, 24840, 25212, 25213, 9329, 25150, 9344, 25176, 9346, 24840, 25212, 25213, 9354, 25075, 25074, 9380, 25076, 9382, 9383, 9384, 24799, 9386, 24802, 9389, 9390, 25078, 24453, 25080, 9395, 25249, 9399, 9400, 25081, 24461, 25083, 9404, 9405, 25256, 25084, 9410, 9411, 9412, 24799, 9414, 24802, 9417, 9418, 25086, 24475, 25087, 9422, 25113, 25267, 25088, 9428, 9430, 25273, 9433, 25090, 9435, 9437, 9438, 9440, 25093, 25092, 9443, 24498, 9447, 9448, 9449, 9450, 9451, 9452, 25095, 25291, 25293, 9458, 9459, 25096, 25298, 9464, 9467, 9468, 9470, 9471, 25097, 25099, 25100, 25102, 25097, 25099, 25100, 25102, 24531, 25104, 24535, 25106, 25213, 25107, 24531, 25104, 24535, 25106, 25213, 25107, 25110, 25109, 25108, 9561, 9562, 24547, 9566, 9568, 9569, 9570, 9571, 9572, 25321, 9576, 24559, 9579, 9580, 25113, 9583, 25199, 25201, 25116, 25115, 25114, 9623, 9625, 9626, 25117, 9628, 9629, 9630, 24580, 25122, 25121, 25120, 9635, 9636, 24590, 25126, 25125, 25124, 9641, 9643, 9644, 25127, 9646, 9647, 23486, 9650, 9651, 9652, 9653, 9654, 9655, 25130, 9658, 9659, 9660, 9661, 9663, 9664, 25361, 9668, 9669, 25131, 9671, 25368, 25371, 9679, 9680, 9681, 9682, 9683, 9684, 9685, 25381, 9689, 9690, 9691, 9692, 9693, 9694, 25132, 25390, 9698, 9699, 9700, 9701, 9703, 25399, 25134, 25133, 9710, 25403, 24660, 9715, 25136, 9717, 24667, 9720, 9721, 9722, 23689, 9725, 25140, 9728, 9729, 23712, 9732, 25142, 25419, 9736, 23733, 9739, 9740, 25425, 25144, 25146, 25147, 25149, 25150, 9761, 25176, 9763, 24840, 25212, 25213, 9771, 25152, 25154, 25156, 9788, 24707, 25159, 25160, 25162, 25164, 9798, 24718, 25167, 25168, 9804, 25170, 9808, 25168, 9820, 25170, 9824, 25172, 25174, 25176, 9832, 24840, 25212, 25168, 9849, 25170, 9853, 25172, 25174, 25176, 9861, 24735, 25212, 25180, 25179, 25178, 9880, 9881, 9884, 25183, 25182, 25181, 9888, 9889, 9892, 25184, 9894, 9895, 23954, 9898, 9899, 25187, 9901, 9903, 9904, 25467, 9908, 9909, 25188, 9911, 9913, 9914, 25476, 9918, 9919, 25189, 9921, 9922, 9923, 9924, 25485, 9928, 9929, 9930, 9931, 9932, 9933, 25190, 25494, 25192, 25191, 9940, 9941, 9942, 24799, 9944, 24802, 9947, 24806, 9950, 9951, 25196, 9954, 9955, 24816, 9958, 9959, 25198, 9962, 25199, 25201, 25202, 25204, 25205, 25207, 25208, 25210, 24840, 25212, 25213, 10015, 10075, 10080, 10081, 10089, 10091, 10100, 10102, 10149, 25534, 10172, 24273, 10209, 24279, 10215, 22714, 22778, 22782, 22787, 10288, 25545, 25548, 21154, 10313, 10318, 10319, 10358, 10359, 10364, 10365, 21135, 10416, 21138, 10418, 10422, 10423, 10454, 10455, 21145, 10463, 24308, 10474, 24348, 10476, 10526, 10536, 10537, 25580, 10570, 25583, 25585, 10617, 10618, 21178, 10626, 24342, 10637, 24348, 10639, 25559, 25557, 25563, 25561, 8, 9, 10, 11, 12, 13, 14, 15, 25602, 9268, 9269, 9270, 9272, 25221, 9290, 25611, 9316, 9318, 9320, 9322, 9323, 9328, 9343, 9345, 9347, 9348, 9353, 9378, 9379, 9381, 25634, 9385, 25243, 9388, 25639, 9391, 9392, 9393, 25643, 25250, 25646, 9401, 9402, 9403, 25651, 25257, 9409, 25656, 9413, 25262, 9416, 25661, 9419, 9420, 9421, 9423, 25268, 9427, 9434, 25279, 9441, 9442, 9445, 25686, 9453, 9461, 25300, 25307, 9474, 9475, 9476, 9477, 9491, 9492, 9493, 9494, 9508, 9509, 9510, 9511, 9516, 9517, 9533, 9534, 9535, 9536, 9541, 9542, 9558, 9559, 9560, 25311, 9565, 25728, 25731, 25322, 9578, 9581, 25738, 9596, 9597, 9620, 9621, 9622, 25745, 9627, 25750, 9631, 9632, 9633, 9634, 9637, 9638, 9639, 9640, 25762, 9645, 25345, 9649, 25769, 9656, 25776, 25780, 25362, 25783, 9670, 25369, 25372, 25791, 25794, 25382, 25797, 9695, 25805, 25397, 25400, 9708, 9709, 9713, 9716, 9719, 9724, 9726, 25825, 9731, 9733, 9738, 9743, 9744, 9745, 9746, 9760, 9762, 9764, 9765, 9770, 9783, 9785, 9787, 9789, 9790, 9793, 9795, 9797, 9799, 9800, 9803, 9807, 9819, 9823, 9827, 9829, 9831, 9833, 9834, 9848, 9852, 9856, 9858, 9860, 9862, 9863, 9877, 9878, 9879, 25449, 9885, 9886, 9887, 25454, 9893, 25459, 9897, 25901, 9900, 25905, 25468, 25908, 9910, 25912, 25477, 25915, 9920, 25920, 25486, 25923, 9934, 25495, 9938, 9939, 25934, 9943, 25500, 9946, 9949, 9952, 25943, 9957, 9960, 25949, 9963, 9964, 9978, 9979, 9986, 9987, 10002, 10003, 10004, 10005, 10014, 25671, 25270, 25276, 25283, 25600, 25692, 25690, 25697, 25807, 25785, 25778, 25788, 25925, 25404, 25819, 25821, 25826, 25831, 25834, 25671, 25270, 25276, 25283, 25683, 25692, 25690, 25697, 10208, 10214, 10223, 10225, 10234, 10236, 25807, 25788, 25778, 25925, 25785, 25404, 25819, 25821, 25826, 25831, 25834, 10312, 25671, 25270, 25276, 25283, 25683, 25692, 25690, 25697, 25726, 25788, 25925, 25733, 10415, 10417, 25903, 25910, 25917, 25925, 25938, 25944, 10462, 10473, 10475, 25771, 25778, 25785, 25788, 25799, 25807, 25404, 25819, 25821, 25826, 25831, 25834, 25903, 25910, 25917, 25925, 25938, 25944, 10625, 10636, 10638, 25517, 25963, 25966, 25965, 25968, 25967, 25530, 25532, 25535, 25980, 25546, 25985, 25987, 25989, 10751, 10752, 10755, 10756, 25995, 25997, 25575, 26006, 25049, 26009, 25056, 26012, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 26036, 26052, 26079, 26085, 25301, 25308, 26113, 25312, 26121, 26126, 26133, 26137, 26144, 26156, 26161, 26207, 25450, 26211, 25455, 26230, 26233, 26239, 26242, 26053, 26056, 26054, 26060, 26058, 26062, 26066, 26064, 26068, 26070, 26073, 26071, 26077, 26075, 26081, 10053, 10054, 26082, 26083, 10057, 10059, 25282, 10061, 26087, 26088, 10064, 10065, 26089, 10067, 26094, 26092, 26098, 26096, 26102, 26038, 26104, 26108, 26106, 26110, 26140, 26141, 25756, 26129, 26130, 26128, 26139, 10114, 26157, 26158, 10117, 26039, 26150, 10120, 26145, 26146, 26152, 10124, 26153, 10126, 26229, 10130, 25813, 26163, 10133, 25407, 26165, 10136, 26166, 26168, 10139, 26169, 26170, 10142, 10143, 26123, 26048, 26047, 26046, 26050, 26177, 26176, 26175, 26179, 26053, 26056, 26054, 26034, 26032, 26070, 26073, 26071, 26077, 26075, 26081, 10187, 10188, 26082, 26083, 10191, 10193, 25282, 26087, 10196, 26088, 10198, 10199, 26089, 10201, 26094, 26092, 26098, 26096, 26102, 26038, 26104, 26108, 26106, 26110, 26129, 26130, 26140, 26141, 25756, 26139, 26128, 10248, 26157, 26158, 26152, 10252, 26153, 10254, 26145, 26146, 10257, 26229, 10260, 26039, 26150, 10264, 25813, 26163, 10267, 25407, 26165, 10270, 26166, 26168, 10273, 26169, 26170, 10276, 10277, 26043, 26042, 26041, 26040, 26045, 26048, 26047, 26046, 26050, 26177, 26176, 26175, 26179, 26123, 26053, 26056, 26054, 26060, 26058, 26062, 26066, 26064, 26068, 26070, 26073, 26071, 26077, 26075, 26081, 10337, 10338, 26082, 26083, 10341, 10343, 25282, 26087, 10346, 26088, 10348, 10349, 26089, 10351, 26094, 26092, 26098, 26096, 26102, 26100, 26104, 26108, 26106, 26110, 26214, 26215, 26117, 10393, 26118, 26152, 10396, 26153, 10398, 26229, 26236, 26234, 26120, 10405, 26252, 26250, 26254, 26123, 26214, 26215, 10430, 26217, 26219, 10433, 26221, 26223, 10436, 26225, 26227, 10439, 26229, 26236, 26234, 26238, 10446, 26241, 10449, 26244, 26246, 26248, 26252, 26250, 26254, 26128, 26129, 26130, 25756, 26139, 26140, 26141, 10487, 26143, 10490, 26145, 26146, 10493, 26148, 26150, 26152, 10497, 26153, 10499, 26155, 10502, 26157, 26158, 10506, 25813, 26163, 10509, 25407, 26165, 10512, 26166, 26168, 10515, 26169, 26170, 10518, 10519, 26173, 26171, 26177, 26176, 26175, 26179, 26183, 26182, 26181, 26180, 26188, 26187, 26186, 26185, 26190, 26191, 26192, 26193, 26197, 26196, 26195, 26194, 26199, 26200, 26204, 26203, 26202, 26201, 26214, 26215, 10593, 26217, 26219, 10596, 26221, 26223, 10599, 26225, 26227, 10602, 26229, 26236, 26234, 26238, 10609, 26241, 10612, 26244, 26246, 26248, 26252, 26250, 26254, 10652, 10654, 10657, 10658, 10661, 10662, 10679, 10682, 10685, 26282, 26283, 26285, 26284, 26287, 26286, 10725, 10728, 26299, 10733, 10746, 10748, 26359, 26361, 26313, 26312, 10769, 10781, 26320, 26322, 26321, 10806, 10809, 10814, 10818, 10822, 10834, 26341, 26343, 26342, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 26114, 26127, 26134, 26138, 26208, 26212, 10036, 26385, 10038, 10039, 10040, 10041, 10042, 10043, 10044, 10045, 10046, 10047, 10048, 10049, 10050, 26386, 10052, 26423, 10055, 10056, 26387, 10060, 10062, 10063, 26433, 10066, 26388, 25698, 10070, 10071, 10076, 10077, 10082, 10083, 10086, 10093, 10094, 10097, 10104, 10105, 10107, 10108, 10109, 10111, 10113, 10115, 10116, 10118, 10119, 10121, 10122, 10123, 10125, 10127, 26403, 26398, 10131, 10132, 10134, 10135, 10137, 10138, 10140, 10141, 10144, 10150, 10151, 10152, 10156, 10162, 10163, 10164, 10168, 10173, 26385, 10175, 10176, 10177, 10178, 26384, 10180, 10181, 10182, 10183, 10184, 26386, 10186, 26502, 10189, 10190, 26387, 10194, 10195, 10197, 26512, 10200, 26388, 25698, 10204, 10205, 10210, 10211, 10216, 10217, 10220, 10227, 10228, 10231, 10238, 10239, 10240, 10241, 10243, 10245, 10247, 10249, 10250, 10251, 10253, 10255, 10256, 10258, 26403, 10261, 10262, 26398, 10265, 10266, 10268, 10269, 10271, 10272, 10274, 10275, 10278, 10279, 10280, 10281, 10285, 10291, 10292, 10293, 10297, 10303, 10304, 10305, 10309, 10314, 10320, 26385, 10322, 10323, 10324, 10325, 10326, 10327, 10328, 10329, 10330, 10331, 10332, 10333, 10334, 26386, 10336, 26590, 10339, 10340, 26387, 10344, 10345, 10347, 26600, 10350, 26388, 25698, 10354, 10355, 10360, 10361, 10366, 10367, 10370, 10377, 10378, 10381, 26391, 10390, 10391, 10392, 10394, 10395, 10397, 10399, 26403, 26404, 10402, 10403, 10404, 26392, 10407, 10408, 10412, 10419, 26400, 26402, 10428, 10429, 10431, 10432, 10434, 10435, 10437, 10438, 10440, 26403, 26404, 10443, 10444, 10445, 26405, 10448, 26406, 10451, 10456, 10459, 10464, 10465, 10470, 10478, 10479, 10480, 10482, 10484, 10485, 10486, 10488, 26396, 10491, 10492, 10494, 10495, 10496, 10498, 10500, 26397, 10503, 10504, 26398, 10507, 10508, 10510, 10511, 10513, 10514, 10516, 10517, 10520, 10521, 10527, 10528, 10529, 10533, 10538, 10539, 10540, 10541, 10545, 10546, 10547, 10548, 10552, 10554, 10559, 10561, 10563, 10564, 10565, 10566, 10573, 10575, 10577, 10578, 10579, 10580, 26400, 26402, 10591, 10592, 10594, 10595, 10597, 10598, 10600, 10601, 10603, 26403, 26404, 10606, 10607, 10608, 26405, 10611, 26406, 10614, 10619, 10622, 10627, 10628, 10633, 26749, 26751, 10697, 10699, 10702, 10703, 10706, 10707, 10731, 10766, 10767, 10784, 10787, 10788, 10837, 10840, 10841, 13, 14, 15, 10037, 26809, 26811, 26814, 26818, 26820, 10051, 26426, 10058, 26827, 26828, 10068, 10069, 26835, 26837, 26839, 26842, 26802, 26801, 26803, 26851, 26853, 26855, 26463, 26859, 10128, 10129, 26862, 26864, 26473, 26476, 26479, 26872, 26876, 10174, 26882, 26884, 10179, 26888, 26890, 10185, 26505, 10192, 26897, 26509, 10202, 10203, 26905, 26907, 26909, 26912, 26802, 26803, 26801, 26921, 26536, 26925, 26927, 10259, 26929, 10263, 26932, 26934, 26552, 26555, 26558, 26941, 26943, 26946, 26950, 10321, 26957, 26959, 26962, 26966, 26968, 10335, 26593, 10342, 26975, 26597, 10352, 10353, 26983, 26985, 26987, 26990, 26800, 10389, 26616, 26619, 26999, 10400, 10401, 27003, 26626, 10406, 27007, 26804, 10425, 26805, 10427, 27014, 27016, 27018, 27020, 10441, 10442, 27024, 26647, 10447, 26649, 10450, 27033, 26801, 26802, 26803, 27042, 10489, 27044, 27046, 26672, 27050, 10501, 27052, 10505, 27055, 27057, 26685, 26688, 26691, 27064, 27066, 27070, 27072, 27074, 27076, 27082, 27084, 27088, 27090, 26804, 10588, 26805, 10590, 27095, 27097, 27099, 27101, 10604, 10605, 27105, 26737, 10610, 26739, 10613, 27114, 26822, 26830, 26840, 26843, 26844, 26847, 26870, 26874, 26878, 26892, 26900, 26910, 27121, 26913, 27123, 26914, 26916, 26944, 26948, 26952, 26953, 26970, 26978, 26988, 26991, 26993, 27008, 27126, 27009, 27012, 27029, 27031, 27030, 27034, 27129, 27036, 27040, 27068, 27078, 27077, 27080, 27079, 27086, 27085, 27093, 27110, 27112, 27111, 27115, 27132, 15, 27136, 27147, 10106, 10110, 10112, 26873, 26877, 27170, 27181, 10242, 10244, 10246, 27203, 26947, 26951, 27206, 27217, 10388, 10424, 10426, 10477, 10481, 10483, 27067, 27270, 27272, 27274, 27276, 10587, 10589, 27139, 27138, 26816, 27141, 27144, 26824, 10647, 10649, 27146, 27149, 27150, 10655, 27151, 10659, 27152, 10663, 10667, 27159, 27160, 27156, 27157, 27158, 26863, 27162, 27167, 27166, 27165, 10678, 10680, 10683, 27172, 26886, 27175, 27178, 26894, 10692, 10694, 27180, 27183, 27184, 10700, 27185, 10704, 27186, 10709, 10712, 27193, 27195, 27192, 27190, 27191, 26933, 27196, 27201, 27200, 27199, 10723, 10726, 10729, 10732, 27209, 27208, 26964, 27211, 27214, 26972, 10741, 10743, 27216, 27219, 27220, 10749, 27221, 10753, 27222, 10757, 27227, 27226, 27225, 27229, 27231, 10764, 27233, 10768, 10770, 27241, 27240, 27239, 27238, 27243, 27247, 27245, 10780, 10782, 10783, 10785, 27249, 10791, 10792, 27255, 27260, 27257, 27253, 27256, 27258, 27056, 27261, 27266, 27265, 27264, 27267, 10807, 10810, 10811, 10816, 10817, 10820, 10821, 10823, 27284, 27283, 27282, 27281, 27286, 27290, 27288, 10833, 10835, 10836, 10838, 27292, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27344, 10641, 10642, 10643, 10644, 10645, 10646, 27345, 10650, 10651, 10653, 10656, 10660, 27348, 27346, 27347, 10668, 10669, 10670, 10671, 10672, 10673, 10674, 10675, 10676, 10677, 27349, 27350, 27351, 10687, 10688, 10689, 10690, 10691, 27352, 10695, 10696, 10698, 10701, 10705, 27355, 27354, 27353, 10713, 10714, 10715, 10716, 10717, 10718, 10719, 10720, 10721, 10722, 27356, 27357, 27358, 27359, 10735, 10736, 10737, 10738, 10739, 10740, 27360, 10744, 10745, 10747, 10750, 10754, 27361, 10759, 10760, 10761, 10762, 10763, 10765, 27363, 27362, 10773, 10774, 10775, 10776, 10777, 10778, 10779, 27468, 10786, 27365, 27364, 27366, 27472, 10794, 10795, 10796, 10797, 10798, 10799, 10800, 10801, 10802, 10803, 10804, 10805, 27367, 27369, 27368, 27487, 27370, 27371, 27373, 27372, 10826, 10827, 10828, 10829, 10830, 10831, 10832, 27502, 10839, 27401, 27433, 27457, 27466, 27500, 13, 14, 15, 10640, 27522, 27526, 10648, 27531, 27532, 10664, 10665, 10666, 27537, 27539, 27542, 27544, 10681, 10684, 10686, 27553, 10693, 27558, 27559, 10708, 10710, 10711, 27564, 27566, 27569, 27571, 10724, 10727, 10730, 10734, 27578, 27582, 10742, 27587, 27588, 10758, 27591, 27595, 10771, 10772, 27599, 27601, 27604, 27606, 10789, 10790, 10793, 27612, 27614, 27616, 27618, 27620, 10808, 10812, 10813, 10815, 10819, 10824, 10825, 27632, 27634, 27637, 27639, 27523, 27530, 27529, 10853, 27550, 27557, 27556, 10863, 27579, 27586, 27585, 27593, 10876, 27605, 10882, 27622, 27638, 10894, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27380, 27381, 27654, 27656, 27658, 27545, 27661, 27662, 27409, 27410, 27418, 27670, 27672, 27572, 27675, 27676, 27677, 27440, 27441, 27684, 27592, 27687, 27690, 27694, 27697, 27621, 27701, 27703, 27488, 27490, 27706, 27709, 10843, 27648, 27653, 27652, 10847, 10848, 10855, 27663, 27667, 27666, 10859, 10860, 10868, 27678, 27683, 27682, 10872, 10873, 10874, 27686, 27602, 27692, 10881, 10888, 27635, 27711, 10893, 11, 12, 13, 14, 15, 27528, 27747, 27540, 27555, 27755, 27567, 27584, 27688, 27610, 27698, 27771, 27489, 27491, 27707, 10844, 10845, 10846, 27781, 27659, 27751, 27750, 10856, 10857, 10858, 27787, 27673, 27760, 27759, 27758, 10869, 10870, 10871, 27793, 27763, 10877, 10878, 10880, 27699, 27770, 10890, 10892, 9, 10, 11, 12, 13, 14, 15, 27390, 27419, 27695, 27744, 27824, 10849, 10851, 10852, 27752, 27831, 10861, 10864, 10865, 10866, 27761, 27839, 10875, 27842, 27815, 27798, 10883, 10885, 27819, 27820, 27818, 27821, 27802, 11, 12, 13, 14, 15, 10842, 27825, 27856, 27863, 10854, 27832, 27857, 27867, 27869, 10867, 27840, 27872, 10879, 27726, 27858, 10886, 10887, 10889, 10891, 27729, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27776, 10850, 27715, 27782, 10862, 27896, 27788, 27900, 10884, 27903, 27799, 27906, 27899, 13, 14, 15, 27822, 27921, 27829, 27924, 27837, 27928, 27930, 10897, 27927, 27931, 10, 11, 12, 13, 14, 15, 27905, 27940, 27937, 27938, 27936, 10901, 10902, 27939, 8, 9, 10, 11, 12, 13, 14, 15, 27941, 10896, 10898, 10899, 10900, 10903, 27958, 7, 8, 9, 10, 11, 12, 13, 14, 15, 10895, 27970, 27972, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27969, 27974, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27985, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 28001, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 27973, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15};
bool h_Op[]= {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
#define THREADS_PER_BLOCK 16
#define BLOCKS_PER_GRID 1
#define SIZE_OF_IN 10912
#define SIZE_OF_AC 17152
__device__ void
ac(float *A, const int *B, const int *C, const bool *Op, int n_iter) {
int i= blockDim.x * blockIdx.x + threadIdx.x;
__shared__ float R[1754*THREADS_PER_BLOCK];
const int t= THREADS_PER_BLOCK;
__shared__ float final;
final=0;
R[i + 0*t] = A[i + 0*t];
R[i + 1*t] = A[i + 1*t];
R[i + 2*t] = A[i + 2*t];
R[i + 3*t] = A[i + 3*t];
R[i + 4*t] = A[i + 4*t];
R[i + 5*t] = A[i + 5*t];
R[i + 6*t] = A[i + 6*t];
R[i + 7*t] = A[i + 7*t];
R[i + 8*t] = A[i + 8*t];
R[i + 9*t] = A[i + 9*t];
R[i + 10*t] = A[i + 10*t];
R[i + 11*t] = A[i + 11*t];
R[i + 12*t] = A[i + 12*t];
R[i + 13*t] = A[i + 13*t];
R[i + 14*t] = A[i + 14*t];
R[i + 15*t] = A[i + 15*t];
R[i + 16*t] = A[i + 16*t];
R[i + 17*t] = A[i + 17*t];
R[i + 18*t] = A[i + 18*t];
R[i + 19*t] = A[i + 19*t];
R[i + 20*t] = A[i + 20*t];
R[i + 21*t] = A[i + 21*t];
R[i + 22*t] = A[i + 22*t];
R[i + 23*t] = A[i + 23*t];
R[i + 24*t] = A[i + 24*t];
R[i + 25*t] = A[i + 25*t];
R[i + 26*t] = A[i + 26*t];
R[i + 27*t] = A[i + 27*t];
R[i + 28*t] = A[i + 28*t];
R[i + 29*t] = A[i + 29*t];
R[i + 30*t] = A[i + 30*t];
R[i + 31*t] = A[i + 31*t];
R[i + 32*t] = A[i + 32*t];
R[i + 33*t] = A[i + 33*t];
R[i + 34*t] = A[i + 34*t];
R[i + 35*t] = A[i + 35*t];
R[i + 36*t] = A[i + 36*t];
R[i + 37*t] = A[i + 37*t];
R[i + 38*t] = A[i + 38*t];
R[i + 39*t] = A[i + 39*t];
R[i + 40*t] = A[i + 40*t];
R[i + 41*t] = A[i + 41*t];
R[i + 42*t] = A[i + 42*t];
R[i + 43*t] = A[i + 43*t];
R[i + 44*t] = A[i + 44*t];
R[i + 45*t] = A[i + 45*t];
R[i + 46*t] = A[i + 46*t];
R[i + 47*t] = A[i + 47*t];
R[i + 48*t] = A[i + 48*t];
R[i + 49*t] = A[i + 49*t];
R[i + 50*t] = A[i + 50*t];
R[i + 51*t] = A[i + 51*t];
R[i + 52*t] = A[i + 52*t];
R[i + 53*t] = A[i + 53*t];
R[i + 54*t] = A[i + 54*t];
R[i + 55*t] = A[i + 55*t];
R[i + 56*t] = A[i + 56*t];
R[i + 57*t] = A[i + 57*t];
R[i + 58*t] = A[i + 58*t];
R[i + 59*t] = A[i + 59*t];
R[i + 60*t] = A[i + 60*t];
R[i + 61*t] = A[i + 61*t];
R[i + 62*t] = A[i + 62*t];
R[i + 63*t] = A[i + 63*t];
R[i + 64*t] = A[i + 64*t];
R[i + 65*t] = A[i + 65*t];
R[i + 66*t] = A[i + 66*t];
R[i + 67*t] = A[i + 67*t];
R[i + 68*t] = A[i + 68*t];
R[i + 69*t] = A[i + 69*t];
R[i + 70*t] = A[i + 70*t];
R[i + 71*t] = A[i + 71*t];
R[i + 72*t] = A[i + 72*t];
R[i + 73*t] = A[i + 73*t];
R[i + 74*t] = A[i + 74*t];
R[i + 75*t] = A[i + 75*t];
R[i + 76*t] = A[i + 76*t];
R[i + 77*t] = A[i + 77*t];
R[i + 78*t] = A[i + 78*t];
R[i + 79*t] = A[i + 79*t];
R[i + 80*t] = A[i + 80*t];
R[i + 81*t] = A[i + 81*t];
R[i + 82*t] = A[i + 82*t];
R[i + 83*t] = A[i + 83*t];
R[i + 84*t] = A[i + 84*t];
R[i + 85*t] = A[i + 85*t];
R[i + 86*t] = A[i + 86*t];
R[i + 87*t] = A[i + 87*t];
R[i + 88*t] = A[i + 88*t];
R[i + 89*t] = A[i + 89*t];
R[i + 90*t] = A[i + 90*t];
R[i + 91*t] = A[i + 91*t];
R[i + 92*t] = A[i + 92*t];
R[i + 93*t] = A[i + 93*t];
R[i + 94*t] = A[i + 94*t];
R[i + 95*t] = A[i + 95*t];
R[i + 96*t] = A[i + 96*t];
R[i + 97*t] = A[i + 97*t];
R[i + 98*t] = A[i + 98*t];
R[i + 99*t] = A[i + 99*t];
R[i + 100*t] = A[i + 100*t];
R[i + 101*t] = A[i + 101*t];
R[i + 102*t] = A[i + 102*t];
R[i + 103*t] = A[i + 103*t];
R[i + 104*t] = A[i + 104*t];
R[i + 105*t] = A[i + 105*t];
R[i + 106*t] = A[i + 106*t];
R[i + 107*t] = A[i + 107*t];
R[i + 108*t] = A[i + 108*t];
R[i + 109*t] = A[i + 109*t];
R[i + 110*t] = A[i + 110*t];
R[i + 111*t] = A[i + 111*t];
R[i + 112*t] = A[i + 112*t];
R[i + 113*t] = A[i + 113*t];
R[i + 114*t] = A[i + 114*t];
R[i + 115*t] = A[i + 115*t];
R[i + 116*t] = A[i + 116*t];
R[i + 117*t] = A[i + 117*t];
R[i + 118*t] = A[i + 118*t];
R[i + 119*t] = A[i + 119*t];
R[i + 120*t] = A[i + 120*t];
R[i + 121*t] = A[i + 121*t];
R[i + 122*t] = A[i + 122*t];
R[i + 123*t] = A[i + 123*t];
R[i + 124*t] = A[i + 124*t];
R[i + 125*t] = A[i + 125*t];
R[i + 126*t] = A[i + 126*t];
R[i + 127*t] = A[i + 127*t];
R[i + 128*t] = A[i + 128*t];
R[i + 129*t] = A[i + 129*t];
R[i + 130*t] = A[i + 130*t];
R[i + 131*t] = A[i + 131*t];
R[i + 132*t] = A[i + 132*t];
R[i + 133*t] = A[i + 133*t];
R[i + 134*t] = A[i + 134*t];
R[i + 135*t] = A[i + 135*t];
R[i + 136*t] = A[i + 136*t];
R[i + 137*t] = A[i + 137*t];
R[i + 138*t] = A[i + 138*t];
R[i + 139*t] = A[i + 139*t];
R[i + 140*t] = A[i + 140*t];
R[i + 141*t] = A[i + 141*t];
R[i + 142*t] = A[i + 142*t];
R[i + 143*t] = A[i + 143*t];
R[i + 144*t] = A[i + 144*t];
R[i + 145*t] = A[i + 145*t];
R[i + 146*t] = A[i + 146*t];
R[i + 147*t] = A[i + 147*t];
R[i + 148*t] = A[i + 148*t];
R[i + 149*t] = A[i + 149*t];
R[i + 150*t] = A[i + 150*t];
R[i + 151*t] = A[i + 151*t];
R[i + 152*t] = A[i + 152*t];
R[i + 153*t] = A[i + 153*t];
R[i + 154*t] = A[i + 154*t];
R[i + 155*t] = A[i + 155*t];
R[i + 156*t] = A[i + 156*t];
R[i + 157*t] = A[i + 157*t];
R[i + 158*t] = A[i + 158*t];
R[i + 159*t] = A[i + 159*t];
R[i + 160*t] = A[i + 160*t];
R[i + 161*t] = A[i + 161*t];
R[i + 162*t] = A[i + 162*t];
R[i + 163*t] = A[i + 163*t];
R[i + 164*t] = A[i + 164*t];
R[i + 165*t] = A[i + 165*t];
R[i + 166*t] = A[i + 166*t];
R[i + 167*t] = A[i + 167*t];
R[i + 168*t] = A[i + 168*t];
R[i + 169*t] = A[i + 169*t];
R[i + 170*t] = A[i + 170*t];
R[i + 171*t] = A[i + 171*t];
R[i + 172*t] = A[i + 172*t];
R[i + 173*t] = A[i + 173*t];
R[i + 174*t] = A[i + 174*t];
R[i + 175*t] = A[i + 175*t];
R[i + 176*t] = A[i + 176*t];
R[i + 177*t] = A[i + 177*t];
R[i + 178*t] = A[i + 178*t];
R[i + 179*t] = A[i + 179*t];
R[i + 180*t] = A[i + 180*t];
R[i + 181*t] = A[i + 181*t];
R[i + 182*t] = A[i + 182*t];
R[i + 183*t] = A[i + 183*t];
R[i + 184*t] = A[i + 184*t];
R[i + 185*t] = A[i + 185*t];
R[i + 186*t] = A[i + 186*t];
R[i + 187*t] = A[i + 187*t];
R[i + 188*t] = A[i + 188*t];
R[i + 189*t] = A[i + 189*t];
R[i + 190*t] = A[i + 190*t];
R[i + 191*t] = A[i + 191*t];
R[i + 192*t] = A[i + 192*t];
R[i + 193*t] = A[i + 193*t];
R[i + 194*t] = A[i + 194*t];
R[i + 195*t] = A[i + 195*t];
R[i + 196*t] = A[i + 196*t];
R[i + 197*t] = A[i + 197*t];
R[i + 198*t] = A[i + 198*t];
R[i + 199*t] = A[i + 199*t];
R[i + 200*t] = A[i + 200*t];
R[i + 201*t] = A[i + 201*t];
R[i + 202*t] = A[i + 202*t];
R[i + 203*t] = A[i + 203*t];
R[i + 204*t] = A[i + 204*t];
R[i + 205*t] = A[i + 205*t];
R[i + 206*t] = A[i + 206*t];
R[i + 207*t] = A[i + 207*t];
R[i + 208*t] = A[i + 208*t];
R[i + 209*t] = A[i + 209*t];
R[i + 210*t] = A[i + 210*t];
R[i + 211*t] = A[i + 211*t];
R[i + 212*t] = A[i + 212*t];
R[i + 213*t] = A[i + 213*t];
R[i + 214*t] = A[i + 214*t];
R[i + 215*t] = A[i + 215*t];
R[i + 216*t] = A[i + 216*t];
R[i + 217*t] = A[i + 217*t];
R[i + 218*t] = A[i + 218*t];
R[i + 219*t] = A[i + 219*t];
R[i + 220*t] = A[i + 220*t];
R[i + 221*t] = A[i + 221*t];
R[i + 222*t] = A[i + 222*t];
R[i + 223*t] = A[i + 223*t];
R[i + 224*t] = A[i + 224*t];
R[i + 225*t] = A[i + 225*t];
R[i + 226*t] = A[i + 226*t];
R[i + 227*t] = A[i + 227*t];
R[i + 228*t] = A[i + 228*t];
R[i + 229*t] = A[i + 229*t];
R[i + 230*t] = A[i + 230*t];
R[i + 231*t] = A[i + 231*t];
R[i + 232*t] = A[i + 232*t];
R[i + 233*t] = A[i + 233*t];
R[i + 234*t] = A[i + 234*t];
R[i + 235*t] = A[i + 235*t];
R[i + 236*t] = A[i + 236*t];
R[i + 237*t] = A[i + 237*t];
R[i + 238*t] = A[i + 238*t];
R[i + 239*t] = A[i + 239*t];
R[i + 240*t] = A[i + 240*t];
R[i + 241*t] = A[i + 241*t];
R[i + 242*t] = A[i + 242*t];
R[i + 243*t] = A[i + 243*t];
R[i + 244*t] = A[i + 244*t];
R[i + 245*t] = A[i + 245*t];
R[i + 246*t] = A[i + 246*t];
R[i + 247*t] = A[i + 247*t];
R[i + 248*t] = A[i + 248*t];
R[i + 249*t] = A[i + 249*t];
R[i + 250*t] = A[i + 250*t];
R[i + 251*t] = A[i + 251*t];
R[i + 252*t] = A[i + 252*t];
R[i + 253*t] = A[i + 253*t];
R[i + 254*t] = A[i + 254*t];
R[i + 255*t] = A[i + 255*t];
R[i + 256*t] = A[i + 256*t];
R[i + 257*t] = A[i + 257*t];
R[i + 258*t] = A[i + 258*t];
R[i + 259*t] = A[i + 259*t];
R[i + 260*t] = A[i + 260*t];
R[i + 261*t] = A[i + 261*t];
R[i + 262*t] = A[i + 262*t];
R[i + 263*t] = A[i + 263*t];
R[i + 264*t] = A[i + 264*t];
R[i + 265*t] = A[i + 265*t];
R[i + 266*t] = A[i + 266*t];
R[i + 267*t] = A[i + 267*t];
R[i + 268*t] = A[i + 268*t];
R[i + 269*t] = A[i + 269*t];
R[i + 270*t] = A[i + 270*t];
R[i + 271*t] = A[i + 271*t];
R[i + 272*t] = A[i + 272*t];
R[i + 273*t] = A[i + 273*t];
R[i + 274*t] = A[i + 274*t];
R[i + 275*t] = A[i + 275*t];
R[i + 276*t] = A[i + 276*t];
R[i + 277*t] = A[i + 277*t];
R[i + 278*t] = A[i + 278*t];
R[i + 279*t] = A[i + 279*t];
R[i + 280*t] = A[i + 280*t];
R[i + 281*t] = A[i + 281*t];
R[i + 282*t] = A[i + 282*t];
R[i + 283*t] = A[i + 283*t];
R[i + 284*t] = A[i + 284*t];
R[i + 285*t] = A[i + 285*t];
R[i + 286*t] = A[i + 286*t];
R[i + 287*t] = A[i + 287*t];
R[i + 288*t] = A[i + 288*t];
R[i + 289*t] = A[i + 289*t];
R[i + 290*t] = A[i + 290*t];
R[i + 291*t] = A[i + 291*t];
R[i + 292*t] = A[i + 292*t];
R[i + 293*t] = A[i + 293*t];
R[i + 294*t] = A[i + 294*t];
R[i + 295*t] = A[i + 295*t];
R[i + 296*t] = A[i + 296*t];
R[i + 297*t] = A[i + 297*t];
R[i + 298*t] = A[i + 298*t];
R[i + 299*t] = A[i + 299*t];
R[i + 300*t] = A[i + 300*t];
R[i + 301*t] = A[i + 301*t];
R[i + 302*t] = A[i + 302*t];
R[i + 303*t] = A[i + 303*t];
R[i + 304*t] = A[i + 304*t];
R[i + 305*t] = A[i + 305*t];
R[i + 306*t] = A[i + 306*t];
R[i + 307*t] = A[i + 307*t];
R[i + 308*t] = A[i + 308*t];
R[i + 309*t] = A[i + 309*t];
R[i + 310*t] = A[i + 310*t];
R[i + 311*t] = A[i + 311*t];
R[i + 312*t] = A[i + 312*t];
R[i + 313*t] = A[i + 313*t];
R[i + 314*t] = A[i + 314*t];
R[i + 315*t] = A[i + 315*t];
R[i + 316*t] = A[i + 316*t];
R[i + 317*t] = A[i + 317*t];
R[i + 318*t] = A[i + 318*t];
R[i + 319*t] = A[i + 319*t];
R[i + 320*t] = A[i + 320*t];
R[i + 321*t] = A[i + 321*t];
R[i + 322*t] = A[i + 322*t];
R[i + 323*t] = A[i + 323*t];
R[i + 324*t] = A[i + 324*t];
R[i + 325*t] = A[i + 325*t];
R[i + 326*t] = A[i + 326*t];
R[i + 327*t] = A[i + 327*t];
R[i + 328*t] = A[i + 328*t];
R[i + 329*t] = A[i + 329*t];
R[i + 330*t] = A[i + 330*t];
R[i + 331*t] = A[i + 331*t];
R[i + 332*t] = A[i + 332*t];
R[i + 333*t] = A[i + 333*t];
R[i + 334*t] = A[i + 334*t];
R[i + 335*t] = A[i + 335*t];
R[i + 336*t] = A[i + 336*t];
R[i + 337*t] = A[i + 337*t];
R[i + 338*t] = A[i + 338*t];
R[i + 339*t] = A[i + 339*t];
R[i + 340*t] = A[i + 340*t];
R[i + 341*t] = A[i + 341*t];
R[i + 342*t] = A[i + 342*t];
R[i + 343*t] = A[i + 343*t];
R[i + 344*t] = A[i + 344*t];
R[i + 345*t] = A[i + 345*t];
R[i + 346*t] = A[i + 346*t];
R[i + 347*t] = A[i + 347*t];
R[i + 348*t] = A[i + 348*t];
R[i + 349*t] = A[i + 349*t];
R[i + 350*t] = A[i + 350*t];
R[i + 351*t] = A[i + 351*t];
R[i + 352*t] = A[i + 352*t];
R[i + 353*t] = A[i + 353*t];
R[i + 354*t] = A[i + 354*t];
R[i + 355*t] = A[i + 355*t];
R[i + 356*t] = A[i + 356*t];
R[i + 357*t] = A[i + 357*t];
R[i + 358*t] = A[i + 358*t];
R[i + 359*t] = A[i + 359*t];
R[i + 360*t] = A[i + 360*t];
R[i + 361*t] = A[i + 361*t];
R[i + 362*t] = A[i + 362*t];
R[i + 363*t] = A[i + 363*t];
R[i + 364*t] = A[i + 364*t];
R[i + 365*t] = A[i + 365*t];
R[i + 366*t] = A[i + 366*t];
R[i + 367*t] = A[i + 367*t];
R[i + 368*t] = A[i + 368*t];
R[i + 369*t] = A[i + 369*t];
R[i + 370*t] = A[i + 370*t];
R[i + 371*t] = A[i + 371*t];
R[i + 372*t] = A[i + 372*t];
R[i + 373*t] = A[i + 373*t];
R[i + 374*t] = A[i + 374*t];
R[i + 375*t] = A[i + 375*t];
R[i + 376*t] = A[i + 376*t];
R[i + 377*t] = A[i + 377*t];
R[i + 378*t] = A[i + 378*t];
R[i + 379*t] = A[i + 379*t];
R[i + 380*t] = A[i + 380*t];
R[i + 381*t] = A[i + 381*t];
R[i + 382*t] = A[i + 382*t];
R[i + 383*t] = A[i + 383*t];
R[i + 384*t] = A[i + 384*t];
R[i + 385*t] = A[i + 385*t];
R[i + 386*t] = A[i + 386*t];
R[i + 387*t] = A[i + 387*t];
R[i + 388*t] = A[i + 388*t];
R[i + 389*t] = A[i + 389*t];
R[i + 390*t] = A[i + 390*t];
R[i + 391*t] = A[i + 391*t];
R[i + 392*t] = A[i + 392*t];
R[i + 393*t] = A[i + 393*t];
R[i + 394*t] = A[i + 394*t];
R[i + 395*t] = A[i + 395*t];
R[i + 396*t] = A[i + 396*t];
R[i + 397*t] = A[i + 397*t];
R[i + 398*t] = A[i + 398*t];
R[i + 399*t] = A[i + 399*t];
R[i + 400*t] = A[i + 400*t];
R[i + 401*t] = A[i + 401*t];
R[i + 402*t] = A[i + 402*t];
R[i + 403*t] = A[i + 403*t];
R[i + 404*t] = A[i + 404*t];
R[i + 405*t] = A[i + 405*t];
R[i + 406*t] = A[i + 406*t];
R[i + 407*t] = A[i + 407*t];
R[i + 408*t] = A[i + 408*t];
R[i + 409*t] = A[i + 409*t];
R[i + 410*t] = A[i + 410*t];
R[i + 411*t] = A[i + 411*t];
R[i + 412*t] = A[i + 412*t];
R[i + 413*t] = A[i + 413*t];
R[i + 414*t] = A[i + 414*t];
R[i + 415*t] = A[i + 415*t];
R[i + 416*t] = A[i + 416*t];
R[i + 417*t] = A[i + 417*t];
R[i + 418*t] = A[i + 418*t];
R[i + 419*t] = A[i + 419*t];
R[i + 420*t] = A[i + 420*t];
R[i + 421*t] = A[i + 421*t];
R[i + 422*t] = A[i + 422*t];
R[i + 423*t] = A[i + 423*t];
R[i + 424*t] = A[i + 424*t];
R[i + 425*t] = A[i + 425*t];
R[i + 426*t] = A[i + 426*t];
R[i + 427*t] = A[i + 427*t];
R[i + 428*t] = A[i + 428*t];
R[i + 429*t] = A[i + 429*t];
R[i + 430*t] = A[i + 430*t];
R[i + 431*t] = A[i + 431*t];
R[i + 432*t] = A[i + 432*t];
R[i + 433*t] = A[i + 433*t];
R[i + 434*t] = A[i + 434*t];
R[i + 435*t] = A[i + 435*t];
R[i + 436*t] = A[i + 436*t];
R[i + 437*t] = A[i + 437*t];
R[i + 438*t] = A[i + 438*t];
R[i + 439*t] = A[i + 439*t];
R[i + 440*t] = A[i + 440*t];
R[i + 441*t] = A[i + 441*t];
R[i + 442*t] = A[i + 442*t];
R[i + 443*t] = A[i + 443*t];
R[i + 444*t] = A[i + 444*t];
R[i + 445*t] = A[i + 445*t];
R[i + 446*t] = A[i + 446*t];
R[i + 447*t] = A[i + 447*t];
R[i + 448*t] = A[i + 448*t];
R[i + 449*t] = A[i + 449*t];
R[i + 450*t] = A[i + 450*t];
R[i + 451*t] = A[i + 451*t];
R[i + 452*t] = A[i + 452*t];
R[i + 453*t] = A[i + 453*t];
R[i + 454*t] = A[i + 454*t];
R[i + 455*t] = A[i + 455*t];
R[i + 456*t] = A[i + 456*t];
R[i + 457*t] = A[i + 457*t];
R[i + 458*t] = A[i + 458*t];
R[i + 459*t] = A[i + 459*t];
R[i + 460*t] = A[i + 460*t];
R[i + 461*t] = A[i + 461*t];
R[i + 462*t] = A[i + 462*t];
R[i + 463*t] = A[i + 463*t];
R[i + 464*t] = A[i + 464*t];
R[i + 465*t] = A[i + 465*t];
R[i + 466*t] = A[i + 466*t];
R[i + 467*t] = A[i + 467*t];
R[i + 468*t] = A[i + 468*t];
R[i + 469*t] = A[i + 469*t];
R[i + 470*t] = A[i + 470*t];
R[i + 471*t] = A[i + 471*t];
R[i + 472*t] = A[i + 472*t];
R[i + 473*t] = A[i + 473*t];
R[i + 474*t] = A[i + 474*t];
R[i + 475*t] = A[i + 475*t];
R[i + 476*t] = A[i + 476*t];
R[i + 477*t] = A[i + 477*t];
R[i + 478*t] = A[i + 478*t];
R[i + 479*t] = A[i + 479*t];
R[i + 480*t] = A[i + 480*t];
R[i + 481*t] = A[i + 481*t];
R[i + 482*t] = A[i + 482*t];
R[i + 483*t] = A[i + 483*t];
R[i + 484*t] = A[i + 484*t];
R[i + 485*t] = A[i + 485*t];
R[i + 486*t] = A[i + 486*t];
R[i + 487*t] = A[i + 487*t];
R[i + 488*t] = A[i + 488*t];
R[i + 489*t] = A[i + 489*t];
R[i + 490*t] = A[i + 490*t];
R[i + 491*t] = A[i + 491*t];
R[i + 492*t] = A[i + 492*t];
R[i + 493*t] = A[i + 493*t];
R[i + 494*t] = A[i + 494*t];
R[i + 495*t] = A[i + 495*t];
R[i + 496*t] = A[i + 496*t];
R[i + 497*t] = A[i + 497*t];
R[i + 498*t] = A[i + 498*t];
R[i + 499*t] = A[i + 499*t];
R[i + 500*t] = A[i + 500*t];
R[i + 501*t] = A[i + 501*t];
R[i + 502*t] = A[i + 502*t];
R[i + 503*t] = A[i + 503*t];
R[i + 504*t] = A[i + 504*t];
R[i + 505*t] = A[i + 505*t];
R[i + 506*t] = A[i + 506*t];
R[i + 507*t] = A[i + 507*t];
R[i + 508*t] = A[i + 508*t];
R[i + 509*t] = A[i + 509*t];
R[i + 510*t] = A[i + 510*t];
R[i + 511*t] = A[i + 511*t];
R[i + 512*t] = A[i + 512*t];
R[i + 513*t] = A[i + 513*t];
R[i + 514*t] = A[i + 514*t];
R[i + 515*t] = A[i + 515*t];
R[i + 516*t] = A[i + 516*t];
R[i + 517*t] = A[i + 517*t];
R[i + 518*t] = A[i + 518*t];
R[i + 519*t] = A[i + 519*t];
R[i + 520*t] = A[i + 520*t];
R[i + 521*t] = A[i + 521*t];
R[i + 522*t] = A[i + 522*t];
R[i + 523*t] = A[i + 523*t];
R[i + 524*t] = A[i + 524*t];
R[i + 525*t] = A[i + 525*t];
R[i + 526*t] = A[i + 526*t];
R[i + 527*t] = A[i + 527*t];
R[i + 528*t] = A[i + 528*t];
R[i + 529*t] = A[i + 529*t];
R[i + 530*t] = A[i + 530*t];
R[i + 531*t] = A[i + 531*t];
R[i + 532*t] = A[i + 532*t];
R[i + 533*t] = A[i + 533*t];
R[i + 534*t] = A[i + 534*t];
R[i + 535*t] = A[i + 535*t];
R[i + 536*t] = A[i + 536*t];
R[i + 537*t] = A[i + 537*t];
R[i + 538*t] = A[i + 538*t];
R[i + 539*t] = A[i + 539*t];
R[i + 540*t] = A[i + 540*t];
R[i + 541*t] = A[i + 541*t];
R[i + 542*t] = A[i + 542*t];
R[i + 543*t] = A[i + 543*t];
R[i + 544*t] = A[i + 544*t];
R[i + 545*t] = A[i + 545*t];
R[i + 546*t] = A[i + 546*t];
R[i + 547*t] = A[i + 547*t];
R[i + 548*t] = A[i + 548*t];
R[i + 549*t] = A[i + 549*t];
R[i + 550*t] = A[i + 550*t];
R[i + 551*t] = A[i + 551*t];
R[i + 552*t] = A[i + 552*t];
R[i + 553*t] = A[i + 553*t];
R[i + 554*t] = A[i + 554*t];
R[i + 555*t] = A[i + 555*t];
R[i + 556*t] = A[i + 556*t];
R[i + 557*t] = A[i + 557*t];
R[i + 558*t] = A[i + 558*t];
R[i + 559*t] = A[i + 559*t];
R[i + 560*t] = A[i + 560*t];
R[i + 561*t] = A[i + 561*t];
R[i + 562*t] = A[i + 562*t];
R[i + 563*t] = A[i + 563*t];
R[i + 564*t] = A[i + 564*t];
R[i + 565*t] = A[i + 565*t];
R[i + 566*t] = A[i + 566*t];
R[i + 567*t] = A[i + 567*t];
R[i + 568*t] = A[i + 568*t];
R[i + 569*t] = A[i + 569*t];
R[i + 570*t] = A[i + 570*t];
R[i + 571*t] = A[i + 571*t];
R[i + 572*t] = A[i + 572*t];
R[i + 573*t] = A[i + 573*t];
R[i + 574*t] = A[i + 574*t];
R[i + 575*t] = A[i + 575*t];
R[i + 576*t] = A[i + 576*t];
R[i + 577*t] = A[i + 577*t];
R[i + 578*t] = A[i + 578*t];
R[i + 579*t] = A[i + 579*t];
R[i + 580*t] = A[i + 580*t];
R[i + 581*t] = A[i + 581*t];
R[i + 582*t] = A[i + 582*t];
R[i + 583*t] = A[i + 583*t];
R[i + 584*t] = A[i + 584*t];
R[i + 585*t] = A[i + 585*t];
R[i + 586*t] = A[i + 586*t];
R[i + 587*t] = A[i + 587*t];
R[i + 588*t] = A[i + 588*t];
R[i + 589*t] = A[i + 589*t];
R[i + 590*t] = A[i + 590*t];
R[i + 591*t] = A[i + 591*t];
R[i + 592*t] = A[i + 592*t];
R[i + 593*t] = A[i + 593*t];
R[i + 594*t] = A[i + 594*t];
R[i + 595*t] = A[i + 595*t];
R[i + 596*t] = A[i + 596*t];
R[i + 597*t] = A[i + 597*t];
R[i + 598*t] = A[i + 598*t];
R[i + 599*t] = A[i + 599*t];
R[i + 600*t] = A[i + 600*t];
R[i + 601*t] = A[i + 601*t];
R[i + 602*t] = A[i + 602*t];
R[i + 603*t] = A[i + 603*t];
R[i + 604*t] = A[i + 604*t];
R[i + 605*t] = A[i + 605*t];
R[i + 606*t] = A[i + 606*t];
R[i + 607*t] = A[i + 607*t];
R[i + 608*t] = A[i + 608*t];
R[i + 609*t] = A[i + 609*t];
R[i + 610*t] = A[i + 610*t];
R[i + 611*t] = A[i + 611*t];
R[i + 612*t] = A[i + 612*t];
R[i + 613*t] = A[i + 613*t];
R[i + 614*t] = A[i + 614*t];
R[i + 615*t] = A[i + 615*t];
R[i + 616*t] = A[i + 616*t];
R[i + 617*t] = A[i + 617*t];
R[i + 618*t] = A[i + 618*t];
R[i + 619*t] = A[i + 619*t];
R[i + 620*t] = A[i + 620*t];
R[i + 621*t] = A[i + 621*t];
R[i + 622*t] = A[i + 622*t];
R[i + 623*t] = A[i + 623*t];
R[i + 624*t] = A[i + 624*t];
R[i + 625*t] = A[i + 625*t];
R[i + 626*t] = A[i + 626*t];
R[i + 627*t] = A[i + 627*t];
R[i + 628*t] = A[i + 628*t];
R[i + 629*t] = A[i + 629*t];
R[i + 630*t] = A[i + 630*t];
R[i + 631*t] = A[i + 631*t];
R[i + 632*t] = A[i + 632*t];
R[i + 633*t] = A[i + 633*t];
R[i + 634*t] = A[i + 634*t];
R[i + 635*t] = A[i + 635*t];
R[i + 636*t] = A[i + 636*t];
R[i + 637*t] = A[i + 637*t];
R[i + 638*t] = A[i + 638*t];
R[i + 639*t] = A[i + 639*t];
R[i + 640*t] = A[i + 640*t];
R[i + 641*t] = A[i + 641*t];
R[i + 642*t] = A[i + 642*t];
R[i + 643*t] = A[i + 643*t];
R[i + 644*t] = A[i + 644*t];
R[i + 645*t] = A[i + 645*t];
R[i + 646*t] = A[i + 646*t];
R[i + 647*t] = A[i + 647*t];
R[i + 648*t] = A[i + 648*t];
R[i + 649*t] = A[i + 649*t];
R[i + 650*t] = A[i + 650*t];
R[i + 651*t] = A[i + 651*t];
R[i + 652*t] = A[i + 652*t];
R[i + 653*t] = A[i + 653*t];
R[i + 654*t] = A[i + 654*t];
R[i + 655*t] = A[i + 655*t];
R[i + 656*t] = A[i + 656*t];
R[i + 657*t] = A[i + 657*t];
R[i + 658*t] = A[i + 658*t];
R[i + 659*t] = A[i + 659*t];
R[i + 660*t] = A[i + 660*t];
R[i + 661*t] = A[i + 661*t];
R[i + 662*t] = A[i + 662*t];
R[i + 663*t] = A[i + 663*t];
R[i + 664*t] = A[i + 664*t];
R[i + 665*t] = A[i + 665*t];
R[i + 666*t] = A[i + 666*t];
R[i + 667*t] = A[i + 667*t];
R[i + 668*t] = A[i + 668*t];
R[i + 669*t] = A[i + 669*t];
R[i + 670*t] = A[i + 670*t];
R[i + 671*t] = A[i + 671*t];
R[i + 672*t] = A[i + 672*t];
R[i + 673*t] = A[i + 673*t];
R[i + 674*t] = A[i + 674*t];
R[i + 675*t] = A[i + 675*t];
R[i + 676*t] = A[i + 676*t];
R[i + 677*t] = A[i + 677*t];
R[i + 678*t] = A[i + 678*t];
R[i + 679*t] = A[i + 679*t];
R[i + 680*t] = A[i + 680*t];
R[i + 681*t] = A[i + 681*t];
__syncthreads();
for (int iter=0; iter< n_iter; iter++) {
R[i + 682*t] = Op[i + 0*t] ? R[B[i + 0*t]] * R[C[i + 0*t]] : R[B[i + 0*t]] + R[C[i + 0*t]];
R[i + 683*t] = Op[i + 1*t] ? R[B[i + 1*t]] * R[C[i + 1*t]] : R[B[i + 1*t]] + R[C[i + 1*t]];
R[i + 684*t] = Op[i + 2*t] ? R[B[i + 2*t]] * R[C[i + 2*t]] : R[B[i + 2*t]] + R[C[i + 2*t]];
R[i + 685*t] = Op[i + 3*t] ? R[B[i + 3*t]] * R[C[i + 3*t]] : R[B[i + 3*t]] + R[C[i + 3*t]];
R[i + 686*t] = Op[i + 4*t] ? R[B[i + 4*t]] * R[C[i + 4*t]] : R[B[i + 4*t]] + R[C[i + 4*t]];
R[i + 687*t] = Op[i + 5*t] ? R[B[i + 5*t]] * R[C[i + 5*t]] : R[B[i + 5*t]] + R[C[i + 5*t]];
R[i + 688*t] = Op[i + 6*t] ? R[B[i + 6*t]] * R[C[i + 6*t]] : R[B[i + 6*t]] + R[C[i + 6*t]];
R[i + 689*t] = Op[i + 7*t] ? R[B[i + 7*t]] * R[C[i + 7*t]] : R[B[i + 7*t]] + R[C[i + 7*t]];
R[i + 690*t] = Op[i + 8*t] ? R[B[i + 8*t]] * R[C[i + 8*t]] : R[B[i + 8*t]] + R[C[i + 8*t]];
R[i + 691*t] = Op[i + 9*t] ? R[B[i + 9*t]] * R[C[i + 9*t]] : R[B[i + 9*t]] + R[C[i + 9*t]];
R[i + 692*t] = Op[i + 10*t] ? R[B[i + 10*t]] * R[C[i + 10*t]] : R[B[i + 10*t]] + R[C[i + 10*t]];
R[i + 693*t] = Op[i + 11*t] ? R[B[i + 11*t]] * R[C[i + 11*t]] : R[B[i + 11*t]] + R[C[i + 11*t]];
R[i + 694*t] = Op[i + 12*t] ? R[B[i + 12*t]] * R[C[i + 12*t]] : R[B[i + 12*t]] + R[C[i + 12*t]];
R[i + 695*t] = Op[i + 13*t] ? R[B[i + 13*t]] * R[C[i + 13*t]] : R[B[i + 13*t]] + R[C[i + 13*t]];
R[i + 696*t] = Op[i + 14*t] ? R[B[i + 14*t]] * R[C[i + 14*t]] : R[B[i + 14*t]] + R[C[i + 14*t]];
R[i + 697*t] = Op[i + 15*t] ? R[B[i + 15*t]] * R[C[i + 15*t]] : R[B[i + 15*t]] + R[C[i + 15*t]];
R[i + 698*t] = Op[i + 16*t] ? R[B[i + 16*t]] * R[C[i + 16*t]] : R[B[i + 16*t]] + R[C[i + 16*t]];
R[i + 699*t] = Op[i + 17*t] ? R[B[i + 17*t]] * R[C[i + 17*t]] : R[B[i + 17*t]] + R[C[i + 17*t]];
R[i + 700*t] = Op[i + 18*t] ? R[B[i + 18*t]] * R[C[i + 18*t]] : R[B[i + 18*t]] + R[C[i + 18*t]];
R[i + 701*t] = Op[i + 19*t] ? R[B[i + 19*t]] * R[C[i + 19*t]] : R[B[i + 19*t]] + R[C[i + 19*t]];
R[i + 702*t] = Op[i + 20*t] ? R[B[i + 20*t]] * R[C[i + 20*t]] : R[B[i + 20*t]] + R[C[i + 20*t]];
R[i + 703*t] = Op[i + 21*t] ? R[B[i + 21*t]] * R[C[i + 21*t]] : R[B[i + 21*t]] + R[C[i + 21*t]];
R[i + 704*t] = Op[i + 22*t] ? R[B[i + 22*t]] * R[C[i + 22*t]] : R[B[i + 22*t]] + R[C[i + 22*t]];
R[i + 705*t] = Op[i + 23*t] ? R[B[i + 23*t]] * R[C[i + 23*t]] : R[B[i + 23*t]] + R[C[i + 23*t]];
R[i + 706*t] = Op[i + 24*t] ? R[B[i + 24*t]] * R[C[i + 24*t]] : R[B[i + 24*t]] + R[C[i + 24*t]];
R[i + 707*t] = Op[i + 25*t] ? R[B[i + 25*t]] * R[C[i + 25*t]] : R[B[i + 25*t]] + R[C[i + 25*t]];
R[i + 708*t] = Op[i + 26*t] ? R[B[i + 26*t]] * R[C[i + 26*t]] : R[B[i + 26*t]] + R[C[i + 26*t]];
R[i + 709*t] = Op[i + 27*t] ? R[B[i + 27*t]] * R[C[i + 27*t]] : R[B[i + 27*t]] + R[C[i + 27*t]];
R[i + 710*t] = Op[i + 28*t] ? R[B[i + 28*t]] * R[C[i + 28*t]] : R[B[i + 28*t]] + R[C[i + 28*t]];
R[i + 711*t] = Op[i + 29*t] ? R[B[i + 29*t]] * R[C[i + 29*t]] : R[B[i + 29*t]] + R[C[i + 29*t]];
R[i + 712*t] = Op[i + 30*t] ? R[B[i + 30*t]] * R[C[i + 30*t]] : R[B[i + 30*t]] + R[C[i + 30*t]];
R[i + 713*t] = Op[i + 31*t] ? R[B[i + 31*t]] * R[C[i + 31*t]] : R[B[i + 31*t]] + R[C[i + 31*t]];
R[i + 714*t] = Op[i + 32*t] ? R[B[i + 32*t]] * R[C[i + 32*t]] : R[B[i + 32*t]] + R[C[i + 32*t]];
R[i + 715*t] = Op[i + 33*t] ? R[B[i + 33*t]] * R[C[i + 33*t]] : R[B[i + 33*t]] + R[C[i + 33*t]];
R[i + 716*t] = Op[i + 34*t] ? R[B[i + 34*t]] * R[C[i + 34*t]] : R[B[i + 34*t]] + R[C[i + 34*t]];
R[i + 717*t] = Op[i + 35*t] ? R[B[i + 35*t]] * R[C[i + 35*t]] : R[B[i + 35*t]] + R[C[i + 35*t]];
R[i + 718*t] = Op[i + 36*t] ? R[B[i + 36*t]] * R[C[i + 36*t]] : R[B[i + 36*t]] + R[C[i + 36*t]];
R[i + 719*t] = Op[i + 37*t] ? R[B[i + 37*t]] * R[C[i + 37*t]] : R[B[i + 37*t]] + R[C[i + 37*t]];
R[i + 720*t] = Op[i + 38*t] ? R[B[i + 38*t]] * R[C[i + 38*t]] : R[B[i + 38*t]] + R[C[i + 38*t]];
R[i + 721*t] = Op[i + 39*t] ? R[B[i + 39*t]] * R[C[i + 39*t]] : R[B[i + 39*t]] + R[C[i + 39*t]];
R[i + 722*t] = Op[i + 40*t] ? R[B[i + 40*t]] * R[C[i + 40*t]] : R[B[i + 40*t]] + R[C[i + 40*t]];
R[i + 723*t] = Op[i + 41*t] ? R[B[i + 41*t]] * R[C[i + 41*t]] : R[B[i + 41*t]] + R[C[i + 41*t]];
R[i + 724*t] = Op[i + 42*t] ? R[B[i + 42*t]] * R[C[i + 42*t]] : R[B[i + 42*t]] + R[C[i + 42*t]];
R[i + 725*t] = Op[i + 43*t] ? R[B[i + 43*t]] * R[C[i + 43*t]] : R[B[i + 43*t]] + R[C[i + 43*t]];
R[i + 726*t] = Op[i + 44*t] ? R[B[i + 44*t]] * R[C[i + 44*t]] : R[B[i + 44*t]] + R[C[i + 44*t]];
R[i + 727*t] = Op[i + 45*t] ? R[B[i + 45*t]] * R[C[i + 45*t]] : R[B[i + 45*t]] + R[C[i + 45*t]];
R[i + 728*t] = Op[i + 46*t] ? R[B[i + 46*t]] * R[C[i + 46*t]] : R[B[i + 46*t]] + R[C[i + 46*t]];
R[i + 729*t] = Op[i + 47*t] ? R[B[i + 47*t]] * R[C[i + 47*t]] : R[B[i + 47*t]] + R[C[i + 47*t]];
R[i + 730*t] = Op[i + 48*t] ? R[B[i + 48*t]] * R[C[i + 48*t]] : R[B[i + 48*t]] + R[C[i + 48*t]];
R[i + 731*t] = Op[i + 49*t] ? R[B[i + 49*t]] * R[C[i + 49*t]] : R[B[i + 49*t]] + R[C[i + 49*t]];
R[i + 732*t] = Op[i + 50*t] ? R[B[i + 50*t]] * R[C[i + 50*t]] : R[B[i + 50*t]] + R[C[i + 50*t]];
R[i + 733*t] = Op[i + 51*t] ? R[B[i + 51*t]] * R[C[i + 51*t]] : R[B[i + 51*t]] + R[C[i + 51*t]];
R[i + 734*t] = Op[i + 52*t] ? R[B[i + 52*t]] * R[C[i + 52*t]] : R[B[i + 52*t]] + R[C[i + 52*t]];
R[i + 735*t] = Op[i + 53*t] ? R[B[i + 53*t]] * R[C[i + 53*t]] : R[B[i + 53*t]] + R[C[i + 53*t]];
R[i + 736*t] = Op[i + 54*t] ? R[B[i + 54*t]] * R[C[i + 54*t]] : R[B[i + 54*t]] + R[C[i + 54*t]];
R[i + 737*t] = Op[i + 55*t] ? R[B[i + 55*t]] * R[C[i + 55*t]] : R[B[i + 55*t]] + R[C[i + 55*t]];
R[i + 738*t] = Op[i + 56*t] ? R[B[i + 56*t]] * R[C[i + 56*t]] : R[B[i + 56*t]] + R[C[i + 56*t]];
R[i + 739*t] = Op[i + 57*t] ? R[B[i + 57*t]] * R[C[i + 57*t]] : R[B[i + 57*t]] + R[C[i + 57*t]];
R[i + 740*t] = Op[i + 58*t] ? R[B[i + 58*t]] * R[C[i + 58*t]] : R[B[i + 58*t]] + R[C[i + 58*t]];
R[i + 741*t] = Op[i + 59*t] ? R[B[i + 59*t]] * R[C[i + 59*t]] : R[B[i + 59*t]] + R[C[i + 59*t]];
R[i + 742*t] = Op[i + 60*t] ? R[B[i + 60*t]] * R[C[i + 60*t]] : R[B[i + 60*t]] + R[C[i + 60*t]];
R[i + 743*t] = Op[i + 61*t] ? R[B[i + 61*t]] * R[C[i + 61*t]] : R[B[i + 61*t]] + R[C[i + 61*t]];
R[i + 744*t] = Op[i + 62*t] ? R[B[i + 62*t]] * R[C[i + 62*t]] : R[B[i + 62*t]] + R[C[i + 62*t]];
R[i + 745*t] = Op[i + 63*t] ? R[B[i + 63*t]] * R[C[i + 63*t]] : R[B[i + 63*t]] + R[C[i + 63*t]];
R[i + 746*t] = Op[i + 64*t] ? R[B[i + 64*t]] * R[C[i + 64*t]] : R[B[i + 64*t]] + R[C[i + 64*t]];
R[i + 747*t] = Op[i + 65*t] ? R[B[i + 65*t]] * R[C[i + 65*t]] : R[B[i + 65*t]] + R[C[i + 65*t]];
R[i + 748*t] = Op[i + 66*t] ? R[B[i + 66*t]] * R[C[i + 66*t]] : R[B[i + 66*t]] + R[C[i + 66*t]];
R[i + 749*t] = Op[i + 67*t] ? R[B[i + 67*t]] * R[C[i + 67*t]] : R[B[i + 67*t]] + R[C[i + 67*t]];
R[i + 750*t] = Op[i + 68*t] ? R[B[i + 68*t]] * R[C[i + 68*t]] : R[B[i + 68*t]] + R[C[i + 68*t]];
R[i + 751*t] = Op[i + 69*t] ? R[B[i + 69*t]] * R[C[i + 69*t]] : R[B[i + 69*t]] + R[C[i + 69*t]];
R[i + 752*t] = Op[i + 70*t] ? R[B[i + 70*t]] * R[C[i + 70*t]] : R[B[i + 70*t]] + R[C[i + 70*t]];
R[i + 753*t] = Op[i + 71*t] ? R[B[i + 71*t]] * R[C[i + 71*t]] : R[B[i + 71*t]] + R[C[i + 71*t]];
R[i + 754*t] = Op[i + 72*t] ? R[B[i + 72*t]] * R[C[i + 72*t]] : R[B[i + 72*t]] + R[C[i + 72*t]];
R[i + 755*t] = Op[i + 73*t] ? R[B[i + 73*t]] * R[C[i + 73*t]] : R[B[i + 73*t]] + R[C[i + 73*t]];
R[i + 756*t] = Op[i + 74*t] ? R[B[i + 74*t]] * R[C[i + 74*t]] : R[B[i + 74*t]] + R[C[i + 74*t]];
R[i + 757*t] = Op[i + 75*t] ? R[B[i + 75*t]] * R[C[i + 75*t]] : R[B[i + 75*t]] + R[C[i + 75*t]];
R[i + 758*t] = Op[i + 76*t] ? R[B[i + 76*t]] * R[C[i + 76*t]] : R[B[i + 76*t]] + R[C[i + 76*t]];
R[i + 759*t] = Op[i + 77*t] ? R[B[i + 77*t]] * R[C[i + 77*t]] : R[B[i + 77*t]] + R[C[i + 77*t]];
R[i + 760*t] = Op[i + 78*t] ? R[B[i + 78*t]] * R[C[i + 78*t]] : R[B[i + 78*t]] + R[C[i + 78*t]];
R[i + 761*t] = Op[i + 79*t] ? R[B[i + 79*t]] * R[C[i + 79*t]] : R[B[i + 79*t]] + R[C[i + 79*t]];
R[i + 762*t] = Op[i + 80*t] ? R[B[i + 80*t]] * R[C[i + 80*t]] : R[B[i + 80*t]] + R[C[i + 80*t]];
R[i + 763*t] = Op[i + 81*t] ? R[B[i + 81*t]] * R[C[i + 81*t]] : R[B[i + 81*t]] + R[C[i + 81*t]];
R[i + 764*t] = Op[i + 82*t] ? R[B[i + 82*t]] * R[C[i + 82*t]] : R[B[i + 82*t]] + R[C[i + 82*t]];
R[i + 765*t] = Op[i + 83*t] ? R[B[i + 83*t]] * R[C[i + 83*t]] : R[B[i + 83*t]] + R[C[i + 83*t]];
R[i + 766*t] = Op[i + 84*t] ? R[B[i + 84*t]] * R[C[i + 84*t]] : R[B[i + 84*t]] + R[C[i + 84*t]];
R[i + 767*t] = Op[i + 85*t] ? R[B[i + 85*t]] * R[C[i + 85*t]] : R[B[i + 85*t]] + R[C[i + 85*t]];
R[i + 768*t] = Op[i + 86*t] ? R[B[i + 86*t]] * R[C[i + 86*t]] : R[B[i + 86*t]] + R[C[i + 86*t]];
R[i + 769*t] = Op[i + 87*t] ? R[B[i + 87*t]] * R[C[i + 87*t]] : R[B[i + 87*t]] + R[C[i + 87*t]];
R[i + 770*t] = Op[i + 88*t] ? R[B[i + 88*t]] * R[C[i + 88*t]] : R[B[i + 88*t]] + R[C[i + 88*t]];
R[i + 771*t] = Op[i + 89*t] ? R[B[i + 89*t]] * R[C[i + 89*t]] : R[B[i + 89*t]] + R[C[i + 89*t]];
R[i + 772*t] = Op[i + 90*t] ? R[B[i + 90*t]] * R[C[i + 90*t]] : R[B[i + 90*t]] + R[C[i + 90*t]];
R[i + 773*t] = Op[i + 91*t] ? R[B[i + 91*t]] * R[C[i + 91*t]] : R[B[i + 91*t]] + R[C[i + 91*t]];
R[i + 774*t] = Op[i + 92*t] ? R[B[i + 92*t]] * R[C[i + 92*t]] : R[B[i + 92*t]] + R[C[i + 92*t]];
R[i + 775*t] = Op[i + 93*t] ? R[B[i + 93*t]] * R[C[i + 93*t]] : R[B[i + 93*t]] + R[C[i + 93*t]];
R[i + 776*t] = Op[i + 94*t] ? R[B[i + 94*t]] * R[C[i + 94*t]] : R[B[i + 94*t]] + R[C[i + 94*t]];
R[i + 777*t] = Op[i + 95*t] ? R[B[i + 95*t]] * R[C[i + 95*t]] : R[B[i + 95*t]] + R[C[i + 95*t]];
R[i + 778*t] = Op[i + 96*t] ? R[B[i + 96*t]] * R[C[i + 96*t]] : R[B[i + 96*t]] + R[C[i + 96*t]];
R[i + 779*t] = Op[i + 97*t] ? R[B[i + 97*t]] * R[C[i + 97*t]] : R[B[i + 97*t]] + R[C[i + 97*t]];
R[i + 780*t] = Op[i + 98*t] ? R[B[i + 98*t]] * R[C[i + 98*t]] : R[B[i + 98*t]] + R[C[i + 98*t]];
R[i + 781*t] = Op[i + 99*t] ? R[B[i + 99*t]] * R[C[i + 99*t]] : R[B[i + 99*t]] + R[C[i + 99*t]];
R[i + 782*t] = Op[i + 100*t] ? R[B[i + 100*t]] * R[C[i + 100*t]] : R[B[i + 100*t]] + R[C[i + 100*t]];
R[i + 783*t] = Op[i + 101*t] ? R[B[i + 101*t]] * R[C[i + 101*t]] : R[B[i + 101*t]] + R[C[i + 101*t]];
R[i + 784*t] = Op[i + 102*t] ? R[B[i + 102*t]] * R[C[i + 102*t]] : R[B[i + 102*t]] + R[C[i + 102*t]];
R[i + 785*t] = Op[i + 103*t] ? R[B[i + 103*t]] * R[C[i + 103*t]] : R[B[i + 103*t]] + R[C[i + 103*t]];
R[i + 786*t] = Op[i + 104*t] ? R[B[i + 104*t]] * R[C[i + 104*t]] : R[B[i + 104*t]] + R[C[i + 104*t]];
R[i + 787*t] = Op[i + 105*t] ? R[B[i + 105*t]] * R[C[i + 105*t]] : R[B[i + 105*t]] + R[C[i + 105*t]];
R[i + 788*t] = Op[i + 106*t] ? R[B[i + 106*t]] * R[C[i + 106*t]] : R[B[i + 106*t]] + R[C[i + 106*t]];
R[i + 789*t] = Op[i + 107*t] ? R[B[i + 107*t]] * R[C[i + 107*t]] : R[B[i + 107*t]] + R[C[i + 107*t]];
R[i + 790*t] = Op[i + 108*t] ? R[B[i + 108*t]] * R[C[i + 108*t]] : R[B[i + 108*t]] + R[C[i + 108*t]];
R[i + 791*t] = Op[i + 109*t] ? R[B[i + 109*t]] * R[C[i + 109*t]] : R[B[i + 109*t]] + R[C[i + 109*t]];
R[i + 792*t] = Op[i + 110*t] ? R[B[i + 110*t]] * R[C[i + 110*t]] : R[B[i + 110*t]] + R[C[i + 110*t]];
R[i + 793*t] = Op[i + 111*t] ? R[B[i + 111*t]] * R[C[i + 111*t]] : R[B[i + 111*t]] + R[C[i + 111*t]];
R[i + 794*t] = Op[i + 112*t] ? R[B[i + 112*t]] * R[C[i + 112*t]] : R[B[i + 112*t]] + R[C[i + 112*t]];
R[i + 795*t] = Op[i + 113*t] ? R[B[i + 113*t]] * R[C[i + 113*t]] : R[B[i + 113*t]] + R[C[i + 113*t]];
R[i + 796*t] = Op[i + 114*t] ? R[B[i + 114*t]] * R[C[i + 114*t]] : R[B[i + 114*t]] + R[C[i + 114*t]];
R[i + 797*t] = Op[i + 115*t] ? R[B[i + 115*t]] * R[C[i + 115*t]] : R[B[i + 115*t]] + R[C[i + 115*t]];
R[i + 798*t] = Op[i + 116*t] ? R[B[i + 116*t]] * R[C[i + 116*t]] : R[B[i + 116*t]] + R[C[i + 116*t]];
R[i + 799*t] = Op[i + 117*t] ? R[B[i + 117*t]] * R[C[i + 117*t]] : R[B[i + 117*t]] + R[C[i + 117*t]];
R[i + 800*t] = Op[i + 118*t] ? R[B[i + 118*t]] * R[C[i + 118*t]] : R[B[i + 118*t]] + R[C[i + 118*t]];
R[i + 801*t] = Op[i + 119*t] ? R[B[i + 119*t]] * R[C[i + 119*t]] : R[B[i + 119*t]] + R[C[i + 119*t]];
R[i + 802*t] = Op[i + 120*t] ? R[B[i + 120*t]] * R[C[i + 120*t]] : R[B[i + 120*t]] + R[C[i + 120*t]];
R[i + 803*t] = Op[i + 121*t] ? R[B[i + 121*t]] * R[C[i + 121*t]] : R[B[i + 121*t]] + R[C[i + 121*t]];
R[i + 804*t] = Op[i + 122*t] ? R[B[i + 122*t]] * R[C[i + 122*t]] : R[B[i + 122*t]] + R[C[i + 122*t]];
R[i + 805*t] = Op[i + 123*t] ? R[B[i + 123*t]] * R[C[i + 123*t]] : R[B[i + 123*t]] + R[C[i + 123*t]];
R[i + 806*t] = Op[i + 124*t] ? R[B[i + 124*t]] * R[C[i + 124*t]] : R[B[i + 124*t]] + R[C[i + 124*t]];
R[i + 807*t] = Op[i + 125*t] ? R[B[i + 125*t]] * R[C[i + 125*t]] : R[B[i + 125*t]] + R[C[i + 125*t]];
R[i + 808*t] = Op[i + 126*t] ? R[B[i + 126*t]] * R[C[i + 126*t]] : R[B[i + 126*t]] + R[C[i + 126*t]];
R[i + 809*t] = Op[i + 127*t] ? R[B[i + 127*t]] * R[C[i + 127*t]] : R[B[i + 127*t]] + R[C[i + 127*t]];
R[i + 810*t] = Op[i + 128*t] ? R[B[i + 128*t]] * R[C[i + 128*t]] : R[B[i + 128*t]] + R[C[i + 128*t]];
R[i + 811*t] = Op[i + 129*t] ? R[B[i + 129*t]] * R[C[i + 129*t]] : R[B[i + 129*t]] + R[C[i + 129*t]];
R[i + 812*t] = Op[i + 130*t] ? R[B[i + 130*t]] * R[C[i + 130*t]] : R[B[i + 130*t]] + R[C[i + 130*t]];
R[i + 813*t] = Op[i + 131*t] ? R[B[i + 131*t]] * R[C[i + 131*t]] : R[B[i + 131*t]] + R[C[i + 131*t]];
R[i + 814*t] = Op[i + 132*t] ? R[B[i + 132*t]] * R[C[i + 132*t]] : R[B[i + 132*t]] + R[C[i + 132*t]];
R[i + 815*t] = Op[i + 133*t] ? R[B[i + 133*t]] * R[C[i + 133*t]] : R[B[i + 133*t]] + R[C[i + 133*t]];
R[i + 816*t] = Op[i + 134*t] ? R[B[i + 134*t]] * R[C[i + 134*t]] : R[B[i + 134*t]] + R[C[i + 134*t]];
R[i + 817*t] = Op[i + 135*t] ? R[B[i + 135*t]] * R[C[i + 135*t]] : R[B[i + 135*t]] + R[C[i + 135*t]];
R[i + 818*t] = Op[i + 136*t] ? R[B[i + 136*t]] * R[C[i + 136*t]] : R[B[i + 136*t]] + R[C[i + 136*t]];
R[i + 819*t] = Op[i + 137*t] ? R[B[i + 137*t]] * R[C[i + 137*t]] : R[B[i + 137*t]] + R[C[i + 137*t]];
R[i + 820*t] = Op[i + 138*t] ? R[B[i + 138*t]] * R[C[i + 138*t]] : R[B[i + 138*t]] + R[C[i + 138*t]];
R[i + 821*t] = Op[i + 139*t] ? R[B[i + 139*t]] * R[C[i + 139*t]] : R[B[i + 139*t]] + R[C[i + 139*t]];
R[i + 822*t] = Op[i + 140*t] ? R[B[i + 140*t]] * R[C[i + 140*t]] : R[B[i + 140*t]] + R[C[i + 140*t]];
R[i + 823*t] = Op[i + 141*t] ? R[B[i + 141*t]] * R[C[i + 141*t]] : R[B[i + 141*t]] + R[C[i + 141*t]];
R[i + 824*t] = Op[i + 142*t] ? R[B[i + 142*t]] * R[C[i + 142*t]] : R[B[i + 142*t]] + R[C[i + 142*t]];
R[i + 825*t] = Op[i + 143*t] ? R[B[i + 143*t]] * R[C[i + 143*t]] : R[B[i + 143*t]] + R[C[i + 143*t]];
R[i + 826*t] = Op[i + 144*t] ? R[B[i + 144*t]] * R[C[i + 144*t]] : R[B[i + 144*t]] + R[C[i + 144*t]];
R[i + 827*t] = Op[i + 145*t] ? R[B[i + 145*t]] * R[C[i + 145*t]] : R[B[i + 145*t]] + R[C[i + 145*t]];
R[i + 828*t] = Op[i + 146*t] ? R[B[i + 146*t]] * R[C[i + 146*t]] : R[B[i + 146*t]] + R[C[i + 146*t]];
R[i + 829*t] = Op[i + 147*t] ? R[B[i + 147*t]] * R[C[i + 147*t]] : R[B[i + 147*t]] + R[C[i + 147*t]];
R[i + 830*t] = Op[i + 148*t] ? R[B[i + 148*t]] * R[C[i + 148*t]] : R[B[i + 148*t]] + R[C[i + 148*t]];
R[i + 831*t] = Op[i + 149*t] ? R[B[i + 149*t]] * R[C[i + 149*t]] : R[B[i + 149*t]] + R[C[i + 149*t]];
R[i + 832*t] = Op[i + 150*t] ? R[B[i + 150*t]] * R[C[i + 150*t]] : R[B[i + 150*t]] + R[C[i + 150*t]];
R[i + 833*t] = Op[i + 151*t] ? R[B[i + 151*t]] * R[C[i + 151*t]] : R[B[i + 151*t]] + R[C[i + 151*t]];
R[i + 834*t] = Op[i + 152*t] ? R[B[i + 152*t]] * R[C[i + 152*t]] : R[B[i + 152*t]] + R[C[i + 152*t]];
R[i + 835*t] = Op[i + 153*t] ? R[B[i + 153*t]] * R[C[i + 153*t]] : R[B[i + 153*t]] + R[C[i + 153*t]];
R[i + 836*t] = Op[i + 154*t] ? R[B[i + 154*t]] * R[C[i + 154*t]] : R[B[i + 154*t]] + R[C[i + 154*t]];
R[i + 837*t] = Op[i + 155*t] ? R[B[i + 155*t]] * R[C[i + 155*t]] : R[B[i + 155*t]] + R[C[i + 155*t]];
R[i + 838*t] = Op[i + 156*t] ? R[B[i + 156*t]] * R[C[i + 156*t]] : R[B[i + 156*t]] + R[C[i + 156*t]];
R[i + 839*t] = Op[i + 157*t] ? R[B[i + 157*t]] * R[C[i + 157*t]] : R[B[i + 157*t]] + R[C[i + 157*t]];
R[i + 840*t] = Op[i + 158*t] ? R[B[i + 158*t]] * R[C[i + 158*t]] : R[B[i + 158*t]] + R[C[i + 158*t]];
R[i + 841*t] = Op[i + 159*t] ? R[B[i + 159*t]] * R[C[i + 159*t]] : R[B[i + 159*t]] + R[C[i + 159*t]];
R[i + 842*t] = Op[i + 160*t] ? R[B[i + 160*t]] * R[C[i + 160*t]] : R[B[i + 160*t]] + R[C[i + 160*t]];
R[i + 843*t] = Op[i + 161*t] ? R[B[i + 161*t]] * R[C[i + 161*t]] : R[B[i + 161*t]] + R[C[i + 161*t]];
R[i + 844*t] = Op[i + 162*t] ? R[B[i + 162*t]] * R[C[i + 162*t]] : R[B[i + 162*t]] + R[C[i + 162*t]];
R[i + 845*t] = Op[i + 163*t] ? R[B[i + 163*t]] * R[C[i + 163*t]] : R[B[i + 163*t]] + R[C[i + 163*t]];
R[i + 846*t] = Op[i + 164*t] ? R[B[i + 164*t]] * R[C[i + 164*t]] : R[B[i + 164*t]] + R[C[i + 164*t]];
R[i + 847*t] = Op[i + 165*t] ? R[B[i + 165*t]] * R[C[i + 165*t]] : R[B[i + 165*t]] + R[C[i + 165*t]];
R[i + 848*t] = Op[i + 166*t] ? R[B[i + 166*t]] * R[C[i + 166*t]] : R[B[i + 166*t]] + R[C[i + 166*t]];
R[i + 849*t] = Op[i + 167*t] ? R[B[i + 167*t]] * R[C[i + 167*t]] : R[B[i + 167*t]] + R[C[i + 167*t]];
R[i + 850*t] = Op[i + 168*t] ? R[B[i + 168*t]] * R[C[i + 168*t]] : R[B[i + 168*t]] + R[C[i + 168*t]];
R[i + 851*t] = Op[i + 169*t] ? R[B[i + 169*t]] * R[C[i + 169*t]] : R[B[i + 169*t]] + R[C[i + 169*t]];
R[i + 852*t] = Op[i + 170*t] ? R[B[i + 170*t]] * R[C[i + 170*t]] : R[B[i + 170*t]] + R[C[i + 170*t]];
R[i + 853*t] = Op[i + 171*t] ? R[B[i + 171*t]] * R[C[i + 171*t]] : R[B[i + 171*t]] + R[C[i + 171*t]];
R[i + 854*t] = Op[i + 172*t] ? R[B[i + 172*t]] * R[C[i + 172*t]] : R[B[i + 172*t]] + R[C[i + 172*t]];
R[i + 855*t] = Op[i + 173*t] ? R[B[i + 173*t]] * R[C[i + 173*t]] : R[B[i + 173*t]] + R[C[i + 173*t]];
R[i + 856*t] = Op[i + 174*t] ? R[B[i + 174*t]] * R[C[i + 174*t]] : R[B[i + 174*t]] + R[C[i + 174*t]];
R[i + 857*t] = Op[i + 175*t] ? R[B[i + 175*t]] * R[C[i + 175*t]] : R[B[i + 175*t]] + R[C[i + 175*t]];
R[i + 858*t] = Op[i + 176*t] ? R[B[i + 176*t]] * R[C[i + 176*t]] : R[B[i + 176*t]] + R[C[i + 176*t]];
R[i + 859*t] = Op[i + 177*t] ? R[B[i + 177*t]] * R[C[i + 177*t]] : R[B[i + 177*t]] + R[C[i + 177*t]];
R[i + 860*t] = Op[i + 178*t] ? R[B[i + 178*t]] * R[C[i + 178*t]] : R[B[i + 178*t]] + R[C[i + 178*t]];
R[i + 861*t] = Op[i + 179*t] ? R[B[i + 179*t]] * R[C[i + 179*t]] : R[B[i + 179*t]] + R[C[i + 179*t]];
R[i + 862*t] = Op[i + 180*t] ? R[B[i + 180*t]] * R[C[i + 180*t]] : R[B[i + 180*t]] + R[C[i + 180*t]];
R[i + 863*t] = Op[i + 181*t] ? R[B[i + 181*t]] * R[C[i + 181*t]] : R[B[i + 181*t]] + R[C[i + 181*t]];
R[i + 864*t] = Op[i + 182*t] ? R[B[i + 182*t]] * R[C[i + 182*t]] : R[B[i + 182*t]] + R[C[i + 182*t]];
R[i + 865*t] = Op[i + 183*t] ? R[B[i + 183*t]] * R[C[i + 183*t]] : R[B[i + 183*t]] + R[C[i + 183*t]];
R[i + 866*t] = Op[i + 184*t] ? R[B[i + 184*t]] * R[C[i + 184*t]] : R[B[i + 184*t]] + R[C[i + 184*t]];
R[i + 867*t] = Op[i + 185*t] ? R[B[i + 185*t]] * R[C[i + 185*t]] : R[B[i + 185*t]] + R[C[i + 185*t]];
R[i + 868*t] = Op[i + 186*t] ? R[B[i + 186*t]] * R[C[i + 186*t]] : R[B[i + 186*t]] + R[C[i + 186*t]];
R[i + 869*t] = Op[i + 187*t] ? R[B[i + 187*t]] * R[C[i + 187*t]] : R[B[i + 187*t]] + R[C[i + 187*t]];
R[i + 870*t] = Op[i + 188*t] ? R[B[i + 188*t]] * R[C[i + 188*t]] : R[B[i + 188*t]] + R[C[i + 188*t]];
R[i + 871*t] = Op[i + 189*t] ? R[B[i + 189*t]] * R[C[i + 189*t]] : R[B[i + 189*t]] + R[C[i + 189*t]];
R[i + 872*t] = Op[i + 190*t] ? R[B[i + 190*t]] * R[C[i + 190*t]] : R[B[i + 190*t]] + R[C[i + 190*t]];
R[i + 873*t] = Op[i + 191*t] ? R[B[i + 191*t]] * R[C[i + 191*t]] : R[B[i + 191*t]] + R[C[i + 191*t]];
R[i + 874*t] = Op[i + 192*t] ? R[B[i + 192*t]] * R[C[i + 192*t]] : R[B[i + 192*t]] + R[C[i + 192*t]];
R[i + 875*t] = Op[i + 193*t] ? R[B[i + 193*t]] * R[C[i + 193*t]] : R[B[i + 193*t]] + R[C[i + 193*t]];
R[i + 876*t] = Op[i + 194*t] ? R[B[i + 194*t]] * R[C[i + 194*t]] : R[B[i + 194*t]] + R[C[i + 194*t]];
R[i + 877*t] = Op[i + 195*t] ? R[B[i + 195*t]] * R[C[i + 195*t]] : R[B[i + 195*t]] + R[C[i + 195*t]];
R[i + 878*t] = Op[i + 196*t] ? R[B[i + 196*t]] * R[C[i + 196*t]] : R[B[i + 196*t]] + R[C[i + 196*t]];
R[i + 879*t] = Op[i + 197*t] ? R[B[i + 197*t]] * R[C[i + 197*t]] : R[B[i + 197*t]] + R[C[i + 197*t]];
R[i + 880*t] = Op[i + 198*t] ? R[B[i + 198*t]] * R[C[i + 198*t]] : R[B[i + 198*t]] + R[C[i + 198*t]];
R[i + 881*t] = Op[i + 199*t] ? R[B[i + 199*t]] * R[C[i + 199*t]] : R[B[i + 199*t]] + R[C[i + 199*t]];
R[i + 882*t] = Op[i + 200*t] ? R[B[i + 200*t]] * R[C[i + 200*t]] : R[B[i + 200*t]] + R[C[i + 200*t]];
R[i + 883*t] = Op[i + 201*t] ? R[B[i + 201*t]] * R[C[i + 201*t]] : R[B[i + 201*t]] + R[C[i + 201*t]];
R[i + 884*t] = Op[i + 202*t] ? R[B[i + 202*t]] * R[C[i + 202*t]] : R[B[i + 202*t]] + R[C[i + 202*t]];
R[i + 885*t] = Op[i + 203*t] ? R[B[i + 203*t]] * R[C[i + 203*t]] : R[B[i + 203*t]] + R[C[i + 203*t]];
R[i + 886*t] = Op[i + 204*t] ? R[B[i + 204*t]] * R[C[i + 204*t]] : R[B[i + 204*t]] + R[C[i + 204*t]];
R[i + 887*t] = Op[i + 205*t] ? R[B[i + 205*t]] * R[C[i + 205*t]] : R[B[i + 205*t]] + R[C[i + 205*t]];
R[i + 888*t] = Op[i + 206*t] ? R[B[i + 206*t]] * R[C[i + 206*t]] : R[B[i + 206*t]] + R[C[i + 206*t]];
R[i + 889*t] = Op[i + 207*t] ? R[B[i + 207*t]] * R[C[i + 207*t]] : R[B[i + 207*t]] + R[C[i + 207*t]];
R[i + 890*t] = Op[i + 208*t] ? R[B[i + 208*t]] * R[C[i + 208*t]] : R[B[i + 208*t]] + R[C[i + 208*t]];
R[i + 891*t] = Op[i + 209*t] ? R[B[i + 209*t]] * R[C[i + 209*t]] : R[B[i + 209*t]] + R[C[i + 209*t]];
R[i + 892*t] = Op[i + 210*t] ? R[B[i + 210*t]] * R[C[i + 210*t]] : R[B[i + 210*t]] + R[C[i + 210*t]];
R[i + 893*t] = Op[i + 211*t] ? R[B[i + 211*t]] * R[C[i + 211*t]] : R[B[i + 211*t]] + R[C[i + 211*t]];
R[i + 894*t] = Op[i + 212*t] ? R[B[i + 212*t]] * R[C[i + 212*t]] : R[B[i + 212*t]] + R[C[i + 212*t]];
R[i + 895*t] = Op[i + 213*t] ? R[B[i + 213*t]] * R[C[i + 213*t]] : R[B[i + 213*t]] + R[C[i + 213*t]];
__syncthreads();
R[i + 896*t] = Op[i + 214*t] ? R[B[i + 214*t]] * R[C[i + 214*t]] : R[B[i + 214*t]] + R[C[i + 214*t]];
R[i + 897*t] = Op[i + 215*t] ? R[B[i + 215*t]] * R[C[i + 215*t]] : R[B[i + 215*t]] + R[C[i + 215*t]];
R[i + 898*t] = Op[i + 216*t] ? R[B[i + 216*t]] * R[C[i + 216*t]] : R[B[i + 216*t]] + R[C[i + 216*t]];
R[i + 899*t] = Op[i + 217*t] ? R[B[i + 217*t]] * R[C[i + 217*t]] : R[B[i + 217*t]] + R[C[i + 217*t]];
R[i + 900*t] = Op[i + 218*t] ? R[B[i + 218*t]] * R[C[i + 218*t]] : R[B[i + 218*t]] + R[C[i + 218*t]];
R[i + 901*t] = Op[i + 219*t] ? R[B[i + 219*t]] * R[C[i + 219*t]] : R[B[i + 219*t]] + R[C[i + 219*t]];
R[i + 902*t] = Op[i + 220*t] ? R[B[i + 220*t]] * R[C[i + 220*t]] : R[B[i + 220*t]] + R[C[i + 220*t]];
R[i + 903*t] = Op[i + 221*t] ? R[B[i + 221*t]] * R[C[i + 221*t]] : R[B[i + 221*t]] + R[C[i + 221*t]];
R[i + 904*t] = Op[i + 222*t] ? R[B[i + 222*t]] * R[C[i + 222*t]] : R[B[i + 222*t]] + R[C[i + 222*t]];
R[i + 905*t] = Op[i + 223*t] ? R[B[i + 223*t]] * R[C[i + 223*t]] : R[B[i + 223*t]] + R[C[i + 223*t]];
R[i + 906*t] = Op[i + 224*t] ? R[B[i + 224*t]] * R[C[i + 224*t]] : R[B[i + 224*t]] + R[C[i + 224*t]];
R[i + 907*t] = Op[i + 225*t] ? R[B[i + 225*t]] * R[C[i + 225*t]] : R[B[i + 225*t]] + R[C[i + 225*t]];
R[i + 908*t] = Op[i + 226*t] ? R[B[i + 226*t]] * R[C[i + 226*t]] : R[B[i + 226*t]] + R[C[i + 226*t]];
R[i + 909*t] = Op[i + 227*t] ? R[B[i + 227*t]] * R[C[i + 227*t]] : R[B[i + 227*t]] + R[C[i + 227*t]];
R[i + 910*t] = Op[i + 228*t] ? R[B[i + 228*t]] * R[C[i + 228*t]] : R[B[i + 228*t]] + R[C[i + 228*t]];
R[i + 911*t] = Op[i + 229*t] ? R[B[i + 229*t]] * R[C[i + 229*t]] : R[B[i + 229*t]] + R[C[i + 229*t]];
R[i + 912*t] = Op[i + 230*t] ? R[B[i + 230*t]] * R[C[i + 230*t]] : R[B[i + 230*t]] + R[C[i + 230*t]];
R[i + 913*t] = Op[i + 231*t] ? R[B[i + 231*t]] * R[C[i + 231*t]] : R[B[i + 231*t]] + R[C[i + 231*t]];
R[i + 914*t] = Op[i + 232*t] ? R[B[i + 232*t]] * R[C[i + 232*t]] : R[B[i + 232*t]] + R[C[i + 232*t]];
R[i + 915*t] = Op[i + 233*t] ? R[B[i + 233*t]] * R[C[i + 233*t]] : R[B[i + 233*t]] + R[C[i + 233*t]];
R[i + 916*t] = Op[i + 234*t] ? R[B[i + 234*t]] * R[C[i + 234*t]] : R[B[i + 234*t]] + R[C[i + 234*t]];
R[i + 917*t] = Op[i + 235*t] ? R[B[i + 235*t]] * R[C[i + 235*t]] : R[B[i + 235*t]] + R[C[i + 235*t]];
R[i + 918*t] = Op[i + 236*t] ? R[B[i + 236*t]] * R[C[i + 236*t]] : R[B[i + 236*t]] + R[C[i + 236*t]];
R[i + 919*t] = Op[i + 237*t] ? R[B[i + 237*t]] * R[C[i + 237*t]] : R[B[i + 237*t]] + R[C[i + 237*t]];
R[i + 920*t] = Op[i + 238*t] ? R[B[i + 238*t]] * R[C[i + 238*t]] : R[B[i + 238*t]] + R[C[i + 238*t]];
R[i + 921*t] = Op[i + 239*t] ? R[B[i + 239*t]] * R[C[i + 239*t]] : R[B[i + 239*t]] + R[C[i + 239*t]];
R[i + 922*t] = Op[i + 240*t] ? R[B[i + 240*t]] * R[C[i + 240*t]] : R[B[i + 240*t]] + R[C[i + 240*t]];
R[i + 923*t] = Op[i + 241*t] ? R[B[i + 241*t]] * R[C[i + 241*t]] : R[B[i + 241*t]] + R[C[i + 241*t]];
R[i + 924*t] = Op[i + 242*t] ? R[B[i + 242*t]] * R[C[i + 242*t]] : R[B[i + 242*t]] + R[C[i + 242*t]];
R[i + 925*t] = Op[i + 243*t] ? R[B[i + 243*t]] * R[C[i + 243*t]] : R[B[i + 243*t]] + R[C[i + 243*t]];
R[i + 926*t] = Op[i + 244*t] ? R[B[i + 244*t]] * R[C[i + 244*t]] : R[B[i + 244*t]] + R[C[i + 244*t]];
R[i + 927*t] = Op[i + 245*t] ? R[B[i + 245*t]] * R[C[i + 245*t]] : R[B[i + 245*t]] + R[C[i + 245*t]];
R[i + 928*t] = Op[i + 246*t] ? R[B[i + 246*t]] * R[C[i + 246*t]] : R[B[i + 246*t]] + R[C[i + 246*t]];
R[i + 929*t] = Op[i + 247*t] ? R[B[i + 247*t]] * R[C[i + 247*t]] : R[B[i + 247*t]] + R[C[i + 247*t]];
R[i + 930*t] = Op[i + 248*t] ? R[B[i + 248*t]] * R[C[i + 248*t]] : R[B[i + 248*t]] + R[C[i + 248*t]];
R[i + 931*t] = Op[i + 249*t] ? R[B[i + 249*t]] * R[C[i + 249*t]] : R[B[i + 249*t]] + R[C[i + 249*t]];
R[i + 932*t] = Op[i + 250*t] ? R[B[i + 250*t]] * R[C[i + 250*t]] : R[B[i + 250*t]] + R[C[i + 250*t]];
R[i + 933*t] = Op[i + 251*t] ? R[B[i + 251*t]] * R[C[i + 251*t]] : R[B[i + 251*t]] + R[C[i + 251*t]];
R[i + 934*t] = Op[i + 252*t] ? R[B[i + 252*t]] * R[C[i + 252*t]] : R[B[i + 252*t]] + R[C[i + 252*t]];
R[i + 935*t] = Op[i + 253*t] ? R[B[i + 253*t]] * R[C[i + 253*t]] : R[B[i + 253*t]] + R[C[i + 253*t]];
R[i + 936*t] = Op[i + 254*t] ? R[B[i + 254*t]] * R[C[i + 254*t]] : R[B[i + 254*t]] + R[C[i + 254*t]];
R[i + 937*t] = Op[i + 255*t] ? R[B[i + 255*t]] * R[C[i + 255*t]] : R[B[i + 255*t]] + R[C[i + 255*t]];
R[i + 938*t] = Op[i + 256*t] ? R[B[i + 256*t]] * R[C[i + 256*t]] : R[B[i + 256*t]] + R[C[i + 256*t]];
R[i + 939*t] = Op[i + 257*t] ? R[B[i + 257*t]] * R[C[i + 257*t]] : R[B[i + 257*t]] + R[C[i + 257*t]];
R[i + 940*t] = Op[i + 258*t] ? R[B[i + 258*t]] * R[C[i + 258*t]] : R[B[i + 258*t]] + R[C[i + 258*t]];
R[i + 941*t] = Op[i + 259*t] ? R[B[i + 259*t]] * R[C[i + 259*t]] : R[B[i + 259*t]] + R[C[i + 259*t]];
R[i + 942*t] = Op[i + 260*t] ? R[B[i + 260*t]] * R[C[i + 260*t]] : R[B[i + 260*t]] + R[C[i + 260*t]];
R[i + 943*t] = Op[i + 261*t] ? R[B[i + 261*t]] * R[C[i + 261*t]] : R[B[i + 261*t]] + R[C[i + 261*t]];
R[i + 944*t] = Op[i + 262*t] ? R[B[i + 262*t]] * R[C[i + 262*t]] : R[B[i + 262*t]] + R[C[i + 262*t]];
R[i + 945*t] = Op[i + 263*t] ? R[B[i + 263*t]] * R[C[i + 263*t]] : R[B[i + 263*t]] + R[C[i + 263*t]];
R[i + 946*t] = Op[i + 264*t] ? R[B[i + 264*t]] * R[C[i + 264*t]] : R[B[i + 264*t]] + R[C[i + 264*t]];
R[i + 947*t] = Op[i + 265*t] ? R[B[i + 265*t]] * R[C[i + 265*t]] : R[B[i + 265*t]] + R[C[i + 265*t]];
R[i + 948*t] = Op[i + 266*t] ? R[B[i + 266*t]] * R[C[i + 266*t]] : R[B[i + 266*t]] + R[C[i + 266*t]];
R[i + 949*t] = Op[i + 267*t] ? R[B[i + 267*t]] * R[C[i + 267*t]] : R[B[i + 267*t]] + R[C[i + 267*t]];
R[i + 950*t] = Op[i + 268*t] ? R[B[i + 268*t]] * R[C[i + 268*t]] : R[B[i + 268*t]] + R[C[i + 268*t]];
R[i + 951*t] = Op[i + 269*t] ? R[B[i + 269*t]] * R[C[i + 269*t]] : R[B[i + 269*t]] + R[C[i + 269*t]];
R[i + 952*t] = Op[i + 270*t] ? R[B[i + 270*t]] * R[C[i + 270*t]] : R[B[i + 270*t]] + R[C[i + 270*t]];
R[i + 953*t] = Op[i + 271*t] ? R[B[i + 271*t]] * R[C[i + 271*t]] : R[B[i + 271*t]] + R[C[i + 271*t]];
R[i + 954*t] = Op[i + 272*t] ? R[B[i + 272*t]] * R[C[i + 272*t]] : R[B[i + 272*t]] + R[C[i + 272*t]];
R[i + 955*t] = Op[i + 273*t] ? R[B[i + 273*t]] * R[C[i + 273*t]] : R[B[i + 273*t]] + R[C[i + 273*t]];
R[i + 956*t] = Op[i + 274*t] ? R[B[i + 274*t]] * R[C[i + 274*t]] : R[B[i + 274*t]] + R[C[i + 274*t]];
R[i + 957*t] = Op[i + 275*t] ? R[B[i + 275*t]] * R[C[i + 275*t]] : R[B[i + 275*t]] + R[C[i + 275*t]];
R[i + 958*t] = Op[i + 276*t] ? R[B[i + 276*t]] * R[C[i + 276*t]] : R[B[i + 276*t]] + R[C[i + 276*t]];
R[i + 959*t] = Op[i + 277*t] ? R[B[i + 277*t]] * R[C[i + 277*t]] : R[B[i + 277*t]] + R[C[i + 277*t]];
R[i + 960*t] = Op[i + 278*t] ? R[B[i + 278*t]] * R[C[i + 278*t]] : R[B[i + 278*t]] + R[C[i + 278*t]];
R[i + 961*t] = Op[i + 279*t] ? R[B[i + 279*t]] * R[C[i + 279*t]] : R[B[i + 279*t]] + R[C[i + 279*t]];
R[i + 962*t] = Op[i + 280*t] ? R[B[i + 280*t]] * R[C[i + 280*t]] : R[B[i + 280*t]] + R[C[i + 280*t]];
R[i + 963*t] = Op[i + 281*t] ? R[B[i + 281*t]] * R[C[i + 281*t]] : R[B[i + 281*t]] + R[C[i + 281*t]];
R[i + 964*t] = Op[i + 282*t] ? R[B[i + 282*t]] * R[C[i + 282*t]] : R[B[i + 282*t]] + R[C[i + 282*t]];
R[i + 965*t] = Op[i + 283*t] ? R[B[i + 283*t]] * R[C[i + 283*t]] : R[B[i + 283*t]] + R[C[i + 283*t]];
R[i + 966*t] = Op[i + 284*t] ? R[B[i + 284*t]] * R[C[i + 284*t]] : R[B[i + 284*t]] + R[C[i + 284*t]];
R[i + 967*t] = Op[i + 285*t] ? R[B[i + 285*t]] * R[C[i + 285*t]] : R[B[i + 285*t]] + R[C[i + 285*t]];
R[i + 968*t] = Op[i + 286*t] ? R[B[i + 286*t]] * R[C[i + 286*t]] : R[B[i + 286*t]] + R[C[i + 286*t]];
R[i + 969*t] = Op[i + 287*t] ? R[B[i + 287*t]] * R[C[i + 287*t]] : R[B[i + 287*t]] + R[C[i + 287*t]];
R[i + 970*t] = Op[i + 288*t] ? R[B[i + 288*t]] * R[C[i + 288*t]] : R[B[i + 288*t]] + R[C[i + 288*t]];
R[i + 971*t] = Op[i + 289*t] ? R[B[i + 289*t]] * R[C[i + 289*t]] : R[B[i + 289*t]] + R[C[i + 289*t]];
R[i + 972*t] = Op[i + 290*t] ? R[B[i + 290*t]] * R[C[i + 290*t]] : R[B[i + 290*t]] + R[C[i + 290*t]];
R[i + 973*t] = Op[i + 291*t] ? R[B[i + 291*t]] * R[C[i + 291*t]] : R[B[i + 291*t]] + R[C[i + 291*t]];
R[i + 974*t] = Op[i + 292*t] ? R[B[i + 292*t]] * R[C[i + 292*t]] : R[B[i + 292*t]] + R[C[i + 292*t]];
R[i + 975*t] = Op[i + 293*t] ? R[B[i + 293*t]] * R[C[i + 293*t]] : R[B[i + 293*t]] + R[C[i + 293*t]];
R[i + 976*t] = Op[i + 294*t] ? R[B[i + 294*t]] * R[C[i + 294*t]] : R[B[i + 294*t]] + R[C[i + 294*t]];
R[i + 977*t] = Op[i + 295*t] ? R[B[i + 295*t]] * R[C[i + 295*t]] : R[B[i + 295*t]] + R[C[i + 295*t]];
R[i + 978*t] = Op[i + 296*t] ? R[B[i + 296*t]] * R[C[i + 296*t]] : R[B[i + 296*t]] + R[C[i + 296*t]];
R[i + 979*t] = Op[i + 297*t] ? R[B[i + 297*t]] * R[C[i + 297*t]] : R[B[i + 297*t]] + R[C[i + 297*t]];
R[i + 980*t] = Op[i + 298*t] ? R[B[i + 298*t]] * R[C[i + 298*t]] : R[B[i + 298*t]] + R[C[i + 298*t]];
R[i + 981*t] = Op[i + 299*t] ? R[B[i + 299*t]] * R[C[i + 299*t]] : R[B[i + 299*t]] + R[C[i + 299*t]];
R[i + 982*t] = Op[i + 300*t] ? R[B[i + 300*t]] * R[C[i + 300*t]] : R[B[i + 300*t]] + R[C[i + 300*t]];
R[i + 983*t] = Op[i + 301*t] ? R[B[i + 301*t]] * R[C[i + 301*t]] : R[B[i + 301*t]] + R[C[i + 301*t]];
R[i + 984*t] = Op[i + 302*t] ? R[B[i + 302*t]] * R[C[i + 302*t]] : R[B[i + 302*t]] + R[C[i + 302*t]];
R[i + 985*t] = Op[i + 303*t] ? R[B[i + 303*t]] * R[C[i + 303*t]] : R[B[i + 303*t]] + R[C[i + 303*t]];
R[i + 986*t] = Op[i + 304*t] ? R[B[i + 304*t]] * R[C[i + 304*t]] : R[B[i + 304*t]] + R[C[i + 304*t]];
R[i + 987*t] = Op[i + 305*t] ? R[B[i + 305*t]] * R[C[i + 305*t]] : R[B[i + 305*t]] + R[C[i + 305*t]];
R[i + 988*t] = Op[i + 306*t] ? R[B[i + 306*t]] * R[C[i + 306*t]] : R[B[i + 306*t]] + R[C[i + 306*t]];
R[i + 989*t] = Op[i + 307*t] ? R[B[i + 307*t]] * R[C[i + 307*t]] : R[B[i + 307*t]] + R[C[i + 307*t]];
R[i + 990*t] = Op[i + 308*t] ? R[B[i + 308*t]] * R[C[i + 308*t]] : R[B[i + 308*t]] + R[C[i + 308*t]];
R[i + 991*t] = Op[i + 309*t] ? R[B[i + 309*t]] * R[C[i + 309*t]] : R[B[i + 309*t]] + R[C[i + 309*t]];
R[i + 992*t] = Op[i + 310*t] ? R[B[i + 310*t]] * R[C[i + 310*t]] : R[B[i + 310*t]] + R[C[i + 310*t]];
R[i + 993*t] = Op[i + 311*t] ? R[B[i + 311*t]] * R[C[i + 311*t]] : R[B[i + 311*t]] + R[C[i + 311*t]];
R[i + 994*t] = Op[i + 312*t] ? R[B[i + 312*t]] * R[C[i + 312*t]] : R[B[i + 312*t]] + R[C[i + 312*t]];
R[i + 995*t] = Op[i + 313*t] ? R[B[i + 313*t]] * R[C[i + 313*t]] : R[B[i + 313*t]] + R[C[i + 313*t]];
R[i + 996*t] = Op[i + 314*t] ? R[B[i + 314*t]] * R[C[i + 314*t]] : R[B[i + 314*t]] + R[C[i + 314*t]];
R[i + 997*t] = Op[i + 315*t] ? R[B[i + 315*t]] * R[C[i + 315*t]] : R[B[i + 315*t]] + R[C[i + 315*t]];
R[i + 998*t] = Op[i + 316*t] ? R[B[i + 316*t]] * R[C[i + 316*t]] : R[B[i + 316*t]] + R[C[i + 316*t]];
R[i + 999*t] = Op[i + 317*t] ? R[B[i + 317*t]] * R[C[i + 317*t]] : R[B[i + 317*t]] + R[C[i + 317*t]];
R[i + 1000*t] = Op[i + 318*t] ? R[B[i + 318*t]] * R[C[i + 318*t]] : R[B[i + 318*t]] + R[C[i + 318*t]];
R[i + 1001*t] = Op[i + 319*t] ? R[B[i + 319*t]] * R[C[i + 319*t]] : R[B[i + 319*t]] + R[C[i + 319*t]];
R[i + 1002*t] = Op[i + 320*t] ? R[B[i + 320*t]] * R[C[i + 320*t]] : R[B[i + 320*t]] + R[C[i + 320*t]];
R[i + 1003*t] = Op[i + 321*t] ? R[B[i + 321*t]] * R[C[i + 321*t]] : R[B[i + 321*t]] + R[C[i + 321*t]];
R[i + 1004*t] = Op[i + 322*t] ? R[B[i + 322*t]] * R[C[i + 322*t]] : R[B[i + 322*t]] + R[C[i + 322*t]];
R[i + 1005*t] = Op[i + 323*t] ? R[B[i + 323*t]] * R[C[i + 323*t]] : R[B[i + 323*t]] + R[C[i + 323*t]];
R[i + 1006*t] = Op[i + 324*t] ? R[B[i + 324*t]] * R[C[i + 324*t]] : R[B[i + 324*t]] + R[C[i + 324*t]];
R[i + 1007*t] = Op[i + 325*t] ? R[B[i + 325*t]] * R[C[i + 325*t]] : R[B[i + 325*t]] + R[C[i + 325*t]];
R[i + 1008*t] = Op[i + 326*t] ? R[B[i + 326*t]] * R[C[i + 326*t]] : R[B[i + 326*t]] + R[C[i + 326*t]];
R[i + 1009*t] = Op[i + 327*t] ? R[B[i + 327*t]] * R[C[i + 327*t]] : R[B[i + 327*t]] + R[C[i + 327*t]];
R[i + 1010*t] = Op[i + 328*t] ? R[B[i + 328*t]] * R[C[i + 328*t]] : R[B[i + 328*t]] + R[C[i + 328*t]];
R[i + 1011*t] = Op[i + 329*t] ? R[B[i + 329*t]] * R[C[i + 329*t]] : R[B[i + 329*t]] + R[C[i + 329*t]];
R[i + 1012*t] = Op[i + 330*t] ? R[B[i + 330*t]] * R[C[i + 330*t]] : R[B[i + 330*t]] + R[C[i + 330*t]];
R[i + 1013*t] = Op[i + 331*t] ? R[B[i + 331*t]] * R[C[i + 331*t]] : R[B[i + 331*t]] + R[C[i + 331*t]];
R[i + 1014*t] = Op[i + 332*t] ? R[B[i + 332*t]] * R[C[i + 332*t]] : R[B[i + 332*t]] + R[C[i + 332*t]];
R[i + 1015*t] = Op[i + 333*t] ? R[B[i + 333*t]] * R[C[i + 333*t]] : R[B[i + 333*t]] + R[C[i + 333*t]];
R[i + 1016*t] = Op[i + 334*t] ? R[B[i + 334*t]] * R[C[i + 334*t]] : R[B[i + 334*t]] + R[C[i + 334*t]];
R[i + 1017*t] = Op[i + 335*t] ? R[B[i + 335*t]] * R[C[i + 335*t]] : R[B[i + 335*t]] + R[C[i + 335*t]];
R[i + 1018*t] = Op[i + 336*t] ? R[B[i + 336*t]] * R[C[i + 336*t]] : R[B[i + 336*t]] + R[C[i + 336*t]];
R[i + 1019*t] = Op[i + 337*t] ? R[B[i + 337*t]] * R[C[i + 337*t]] : R[B[i + 337*t]] + R[C[i + 337*t]];
R[i + 1020*t] = Op[i + 338*t] ? R[B[i + 338*t]] * R[C[i + 338*t]] : R[B[i + 338*t]] + R[C[i + 338*t]];
R[i + 1021*t] = Op[i + 339*t] ? R[B[i + 339*t]] * R[C[i + 339*t]] : R[B[i + 339*t]] + R[C[i + 339*t]];
R[i + 1022*t] = Op[i + 340*t] ? R[B[i + 340*t]] * R[C[i + 340*t]] : R[B[i + 340*t]] + R[C[i + 340*t]];
R[i + 1023*t] = Op[i + 341*t] ? R[B[i + 341*t]] * R[C[i + 341*t]] : R[B[i + 341*t]] + R[C[i + 341*t]];
R[i + 1024*t] = Op[i + 342*t] ? R[B[i + 342*t]] * R[C[i + 342*t]] : R[B[i + 342*t]] + R[C[i + 342*t]];
__syncthreads();
R[i + 1025*t] = Op[i + 343*t] ? R[B[i + 343*t]] * R[C[i + 343*t]] : R[B[i + 343*t]] + R[C[i + 343*t]];
R[i + 1026*t] = Op[i + 344*t] ? R[B[i + 344*t]] * R[C[i + 344*t]] : R[B[i + 344*t]] + R[C[i + 344*t]];
R[i + 1027*t] = Op[i + 345*t] ? R[B[i + 345*t]] * R[C[i + 345*t]] : R[B[i + 345*t]] + R[C[i + 345*t]];
R[i + 1028*t] = Op[i + 346*t] ? R[B[i + 346*t]] * R[C[i + 346*t]] : R[B[i + 346*t]] + R[C[i + 346*t]];
R[i + 1029*t] = Op[i + 347*t] ? R[B[i + 347*t]] * R[C[i + 347*t]] : R[B[i + 347*t]] + R[C[i + 347*t]];
R[i + 1030*t] = Op[i + 348*t] ? R[B[i + 348*t]] * R[C[i + 348*t]] : R[B[i + 348*t]] + R[C[i + 348*t]];
R[i + 1031*t] = Op[i + 349*t] ? R[B[i + 349*t]] * R[C[i + 349*t]] : R[B[i + 349*t]] + R[C[i + 349*t]];
R[i + 1032*t] = Op[i + 350*t] ? R[B[i + 350*t]] * R[C[i + 350*t]] : R[B[i + 350*t]] + R[C[i + 350*t]];
R[i + 1033*t] = Op[i + 351*t] ? R[B[i + 351*t]] * R[C[i + 351*t]] : R[B[i + 351*t]] + R[C[i + 351*t]];
R[i + 1034*t] = Op[i + 352*t] ? R[B[i + 352*t]] * R[C[i + 352*t]] : R[B[i + 352*t]] + R[C[i + 352*t]];
R[i + 1035*t] = Op[i + 353*t] ? R[B[i + 353*t]] * R[C[i + 353*t]] : R[B[i + 353*t]] + R[C[i + 353*t]];
R[i + 1036*t] = Op[i + 354*t] ? R[B[i + 354*t]] * R[C[i + 354*t]] : R[B[i + 354*t]] + R[C[i + 354*t]];
R[i + 1037*t] = Op[i + 355*t] ? R[B[i + 355*t]] * R[C[i + 355*t]] : R[B[i + 355*t]] + R[C[i + 355*t]];
R[i + 1038*t] = Op[i + 356*t] ? R[B[i + 356*t]] * R[C[i + 356*t]] : R[B[i + 356*t]] + R[C[i + 356*t]];
R[i + 1039*t] = Op[i + 357*t] ? R[B[i + 357*t]] * R[C[i + 357*t]] : R[B[i + 357*t]] + R[C[i + 357*t]];
R[i + 1040*t] = Op[i + 358*t] ? R[B[i + 358*t]] * R[C[i + 358*t]] : R[B[i + 358*t]] + R[C[i + 358*t]];
R[i + 1041*t] = Op[i + 359*t] ? R[B[i + 359*t]] * R[C[i + 359*t]] : R[B[i + 359*t]] + R[C[i + 359*t]];
R[i + 1042*t] = Op[i + 360*t] ? R[B[i + 360*t]] * R[C[i + 360*t]] : R[B[i + 360*t]] + R[C[i + 360*t]];
R[i + 1043*t] = Op[i + 361*t] ? R[B[i + 361*t]] * R[C[i + 361*t]] : R[B[i + 361*t]] + R[C[i + 361*t]];
R[i + 1044*t] = Op[i + 362*t] ? R[B[i + 362*t]] * R[C[i + 362*t]] : R[B[i + 362*t]] + R[C[i + 362*t]];
R[i + 1045*t] = Op[i + 363*t] ? R[B[i + 363*t]] * R[C[i + 363*t]] : R[B[i + 363*t]] + R[C[i + 363*t]];
R[i + 1046*t] = Op[i + 364*t] ? R[B[i + 364*t]] * R[C[i + 364*t]] : R[B[i + 364*t]] + R[C[i + 364*t]];
R[i + 1047*t] = Op[i + 365*t] ? R[B[i + 365*t]] * R[C[i + 365*t]] : R[B[i + 365*t]] + R[C[i + 365*t]];
R[i + 1048*t] = Op[i + 366*t] ? R[B[i + 366*t]] * R[C[i + 366*t]] : R[B[i + 366*t]] + R[C[i + 366*t]];
R[i + 1049*t] = Op[i + 367*t] ? R[B[i + 367*t]] * R[C[i + 367*t]] : R[B[i + 367*t]] + R[C[i + 367*t]];
R[i + 1050*t] = Op[i + 368*t] ? R[B[i + 368*t]] * R[C[i + 368*t]] : R[B[i + 368*t]] + R[C[i + 368*t]];
R[i + 1051*t] = Op[i + 369*t] ? R[B[i + 369*t]] * R[C[i + 369*t]] : R[B[i + 369*t]] + R[C[i + 369*t]];
R[i + 1052*t] = Op[i + 370*t] ? R[B[i + 370*t]] * R[C[i + 370*t]] : R[B[i + 370*t]] + R[C[i + 370*t]];
R[i + 1053*t] = Op[i + 371*t] ? R[B[i + 371*t]] * R[C[i + 371*t]] : R[B[i + 371*t]] + R[C[i + 371*t]];
R[i + 1054*t] = Op[i + 372*t] ? R[B[i + 372*t]] * R[C[i + 372*t]] : R[B[i + 372*t]] + R[C[i + 372*t]];
R[i + 1055*t] = Op[i + 373*t] ? R[B[i + 373*t]] * R[C[i + 373*t]] : R[B[i + 373*t]] + R[C[i + 373*t]];
R[i + 1056*t] = Op[i + 374*t] ? R[B[i + 374*t]] * R[C[i + 374*t]] : R[B[i + 374*t]] + R[C[i + 374*t]];
R[i + 1057*t] = Op[i + 375*t] ? R[B[i + 375*t]] * R[C[i + 375*t]] : R[B[i + 375*t]] + R[C[i + 375*t]];
R[i + 1058*t] = Op[i + 376*t] ? R[B[i + 376*t]] * R[C[i + 376*t]] : R[B[i + 376*t]] + R[C[i + 376*t]];
R[i + 1059*t] = Op[i + 377*t] ? R[B[i + 377*t]] * R[C[i + 377*t]] : R[B[i + 377*t]] + R[C[i + 377*t]];
R[i + 1060*t] = Op[i + 378*t] ? R[B[i + 378*t]] * R[C[i + 378*t]] : R[B[i + 378*t]] + R[C[i + 378*t]];
R[i + 1061*t] = Op[i + 379*t] ? R[B[i + 379*t]] * R[C[i + 379*t]] : R[B[i + 379*t]] + R[C[i + 379*t]];
R[i + 1062*t] = Op[i + 380*t] ? R[B[i + 380*t]] * R[C[i + 380*t]] : R[B[i + 380*t]] + R[C[i + 380*t]];
R[i + 1063*t] = Op[i + 381*t] ? R[B[i + 381*t]] * R[C[i + 381*t]] : R[B[i + 381*t]] + R[C[i + 381*t]];
R[i + 1064*t] = Op[i + 382*t] ? R[B[i + 382*t]] * R[C[i + 382*t]] : R[B[i + 382*t]] + R[C[i + 382*t]];
R[i + 1065*t] = Op[i + 383*t] ? R[B[i + 383*t]] * R[C[i + 383*t]] : R[B[i + 383*t]] + R[C[i + 383*t]];
R[i + 1066*t] = Op[i + 384*t] ? R[B[i + 384*t]] * R[C[i + 384*t]] : R[B[i + 384*t]] + R[C[i + 384*t]];
R[i + 1067*t] = Op[i + 385*t] ? R[B[i + 385*t]] * R[C[i + 385*t]] : R[B[i + 385*t]] + R[C[i + 385*t]];
R[i + 1068*t] = Op[i + 386*t] ? R[B[i + 386*t]] * R[C[i + 386*t]] : R[B[i + 386*t]] + R[C[i + 386*t]];
R[i + 1069*t] = Op[i + 387*t] ? R[B[i + 387*t]] * R[C[i + 387*t]] : R[B[i + 387*t]] + R[C[i + 387*t]];
R[i + 1070*t] = Op[i + 388*t] ? R[B[i + 388*t]] * R[C[i + 388*t]] : R[B[i + 388*t]] + R[C[i + 388*t]];
R[i + 1071*t] = Op[i + 389*t] ? R[B[i + 389*t]] * R[C[i + 389*t]] : R[B[i + 389*t]] + R[C[i + 389*t]];
R[i + 1072*t] = Op[i + 390*t] ? R[B[i + 390*t]] * R[C[i + 390*t]] : R[B[i + 390*t]] + R[C[i + 390*t]];
R[i + 1073*t] = Op[i + 391*t] ? R[B[i + 391*t]] * R[C[i + 391*t]] : R[B[i + 391*t]] + R[C[i + 391*t]];
R[i + 1074*t] = Op[i + 392*t] ? R[B[i + 392*t]] * R[C[i + 392*t]] : R[B[i + 392*t]] + R[C[i + 392*t]];
R[i + 1075*t] = Op[i + 393*t] ? R[B[i + 393*t]] * R[C[i + 393*t]] : R[B[i + 393*t]] + R[C[i + 393*t]];
R[i + 1076*t] = Op[i + 394*t] ? R[B[i + 394*t]] * R[C[i + 394*t]] : R[B[i + 394*t]] + R[C[i + 394*t]];
R[i + 1077*t] = Op[i + 395*t] ? R[B[i + 395*t]] * R[C[i + 395*t]] : R[B[i + 395*t]] + R[C[i + 395*t]];
R[i + 1078*t] = Op[i + 396*t] ? R[B[i + 396*t]] * R[C[i + 396*t]] : R[B[i + 396*t]] + R[C[i + 396*t]];
R[i + 1079*t] = Op[i + 397*t] ? R[B[i + 397*t]] * R[C[i + 397*t]] : R[B[i + 397*t]] + R[C[i + 397*t]];
R[i + 1080*t] = Op[i + 398*t] ? R[B[i + 398*t]] * R[C[i + 398*t]] : R[B[i + 398*t]] + R[C[i + 398*t]];
R[i + 1081*t] = Op[i + 399*t] ? R[B[i + 399*t]] * R[C[i + 399*t]] : R[B[i + 399*t]] + R[C[i + 399*t]];
R[i + 1082*t] = Op[i + 400*t] ? R[B[i + 400*t]] * R[C[i + 400*t]] : R[B[i + 400*t]] + R[C[i + 400*t]];
R[i + 1083*t] = Op[i + 401*t] ? R[B[i + 401*t]] * R[C[i + 401*t]] : R[B[i + 401*t]] + R[C[i + 401*t]];
R[i + 1084*t] = Op[i + 402*t] ? R[B[i + 402*t]] * R[C[i + 402*t]] : R[B[i + 402*t]] + R[C[i + 402*t]];
R[i + 1085*t] = Op[i + 403*t] ? R[B[i + 403*t]] * R[C[i + 403*t]] : R[B[i + 403*t]] + R[C[i + 403*t]];
R[i + 1086*t] = Op[i + 404*t] ? R[B[i + 404*t]] * R[C[i + 404*t]] : R[B[i + 404*t]] + R[C[i + 404*t]];
R[i + 1087*t] = Op[i + 405*t] ? R[B[i + 405*t]] * R[C[i + 405*t]] : R[B[i + 405*t]] + R[C[i + 405*t]];
R[i + 1088*t] = Op[i + 406*t] ? R[B[i + 406*t]] * R[C[i + 406*t]] : R[B[i + 406*t]] + R[C[i + 406*t]];
R[i + 1089*t] = Op[i + 407*t] ? R[B[i + 407*t]] * R[C[i + 407*t]] : R[B[i + 407*t]] + R[C[i + 407*t]];
R[i + 1090*t] = Op[i + 408*t] ? R[B[i + 408*t]] * R[C[i + 408*t]] : R[B[i + 408*t]] + R[C[i + 408*t]];
R[i + 1091*t] = Op[i + 409*t] ? R[B[i + 409*t]] * R[C[i + 409*t]] : R[B[i + 409*t]] + R[C[i + 409*t]];
R[i + 1092*t] = Op[i + 410*t] ? R[B[i + 410*t]] * R[C[i + 410*t]] : R[B[i + 410*t]] + R[C[i + 410*t]];
R[i + 1093*t] = Op[i + 411*t] ? R[B[i + 411*t]] * R[C[i + 411*t]] : R[B[i + 411*t]] + R[C[i + 411*t]];
R[i + 1094*t] = Op[i + 412*t] ? R[B[i + 412*t]] * R[C[i + 412*t]] : R[B[i + 412*t]] + R[C[i + 412*t]];
R[i + 1095*t] = Op[i + 413*t] ? R[B[i + 413*t]] * R[C[i + 413*t]] : R[B[i + 413*t]] + R[C[i + 413*t]];
R[i + 1096*t] = Op[i + 414*t] ? R[B[i + 414*t]] * R[C[i + 414*t]] : R[B[i + 414*t]] + R[C[i + 414*t]];
R[i + 1097*t] = Op[i + 415*t] ? R[B[i + 415*t]] * R[C[i + 415*t]] : R[B[i + 415*t]] + R[C[i + 415*t]];
R[i + 1098*t] = Op[i + 416*t] ? R[B[i + 416*t]] * R[C[i + 416*t]] : R[B[i + 416*t]] + R[C[i + 416*t]];
R[i + 1099*t] = Op[i + 417*t] ? R[B[i + 417*t]] * R[C[i + 417*t]] : R[B[i + 417*t]] + R[C[i + 417*t]];
R[i + 1100*t] = Op[i + 418*t] ? R[B[i + 418*t]] * R[C[i + 418*t]] : R[B[i + 418*t]] + R[C[i + 418*t]];
R[i + 1101*t] = Op[i + 419*t] ? R[B[i + 419*t]] * R[C[i + 419*t]] : R[B[i + 419*t]] + R[C[i + 419*t]];
R[i + 1102*t] = Op[i + 420*t] ? R[B[i + 420*t]] * R[C[i + 420*t]] : R[B[i + 420*t]] + R[C[i + 420*t]];
R[i + 1103*t] = Op[i + 421*t] ? R[B[i + 421*t]] * R[C[i + 421*t]] : R[B[i + 421*t]] + R[C[i + 421*t]];
R[i + 1104*t] = Op[i + 422*t] ? R[B[i + 422*t]] * R[C[i + 422*t]] : R[B[i + 422*t]] + R[C[i + 422*t]];
R[i + 1105*t] = Op[i + 423*t] ? R[B[i + 423*t]] * R[C[i + 423*t]] : R[B[i + 423*t]] + R[C[i + 423*t]];
R[i + 1106*t] = Op[i + 424*t] ? R[B[i + 424*t]] * R[C[i + 424*t]] : R[B[i + 424*t]] + R[C[i + 424*t]];
R[i + 1107*t] = Op[i + 425*t] ? R[B[i + 425*t]] * R[C[i + 425*t]] : R[B[i + 425*t]] + R[C[i + 425*t]];
R[i + 1108*t] = Op[i + 426*t] ? R[B[i + 426*t]] * R[C[i + 426*t]] : R[B[i + 426*t]] + R[C[i + 426*t]];
R[i + 1109*t] = Op[i + 427*t] ? R[B[i + 427*t]] * R[C[i + 427*t]] : R[B[i + 427*t]] + R[C[i + 427*t]];
R[i + 1110*t] = Op[i + 428*t] ? R[B[i + 428*t]] * R[C[i + 428*t]] : R[B[i + 428*t]] + R[C[i + 428*t]];
R[i + 1111*t] = Op[i + 429*t] ? R[B[i + 429*t]] * R[C[i + 429*t]] : R[B[i + 429*t]] + R[C[i + 429*t]];
R[i + 1112*t] = Op[i + 430*t] ? R[B[i + 430*t]] * R[C[i + 430*t]] : R[B[i + 430*t]] + R[C[i + 430*t]];
R[i + 1113*t] = Op[i + 431*t] ? R[B[i + 431*t]] * R[C[i + 431*t]] : R[B[i + 431*t]] + R[C[i + 431*t]];
R[i + 1114*t] = Op[i + 432*t] ? R[B[i + 432*t]] * R[C[i + 432*t]] : R[B[i + 432*t]] + R[C[i + 432*t]];
R[i + 1115*t] = Op[i + 433*t] ? R[B[i + 433*t]] * R[C[i + 433*t]] : R[B[i + 433*t]] + R[C[i + 433*t]];
R[i + 1116*t] = Op[i + 434*t] ? R[B[i + 434*t]] * R[C[i + 434*t]] : R[B[i + 434*t]] + R[C[i + 434*t]];
R[i + 1117*t] = Op[i + 435*t] ? R[B[i + 435*t]] * R[C[i + 435*t]] : R[B[i + 435*t]] + R[C[i + 435*t]];
R[i + 1118*t] = Op[i + 436*t] ? R[B[i + 436*t]] * R[C[i + 436*t]] : R[B[i + 436*t]] + R[C[i + 436*t]];
R[i + 1119*t] = Op[i + 437*t] ? R[B[i + 437*t]] * R[C[i + 437*t]] : R[B[i + 437*t]] + R[C[i + 437*t]];
R[i + 1120*t] = Op[i + 438*t] ? R[B[i + 438*t]] * R[C[i + 438*t]] : R[B[i + 438*t]] + R[C[i + 438*t]];
R[i + 1121*t] = Op[i + 439*t] ? R[B[i + 439*t]] * R[C[i + 439*t]] : R[B[i + 439*t]] + R[C[i + 439*t]];
R[i + 1122*t] = Op[i + 440*t] ? R[B[i + 440*t]] * R[C[i + 440*t]] : R[B[i + 440*t]] + R[C[i + 440*t]];
R[i + 1123*t] = Op[i + 441*t] ? R[B[i + 441*t]] * R[C[i + 441*t]] : R[B[i + 441*t]] + R[C[i + 441*t]];
R[i + 1124*t] = Op[i + 442*t] ? R[B[i + 442*t]] * R[C[i + 442*t]] : R[B[i + 442*t]] + R[C[i + 442*t]];
R[i + 1125*t] = Op[i + 443*t] ? R[B[i + 443*t]] * R[C[i + 443*t]] : R[B[i + 443*t]] + R[C[i + 443*t]];
R[i + 1126*t] = Op[i + 444*t] ? R[B[i + 444*t]] * R[C[i + 444*t]] : R[B[i + 444*t]] + R[C[i + 444*t]];
R[i + 1127*t] = Op[i + 445*t] ? R[B[i + 445*t]] * R[C[i + 445*t]] : R[B[i + 445*t]] + R[C[i + 445*t]];
R[i + 1128*t] = Op[i + 446*t] ? R[B[i + 446*t]] * R[C[i + 446*t]] : R[B[i + 446*t]] + R[C[i + 446*t]];
R[i + 1129*t] = Op[i + 447*t] ? R[B[i + 447*t]] * R[C[i + 447*t]] : R[B[i + 447*t]] + R[C[i + 447*t]];
R[i + 1130*t] = Op[i + 448*t] ? R[B[i + 448*t]] * R[C[i + 448*t]] : R[B[i + 448*t]] + R[C[i + 448*t]];
R[i + 1131*t] = Op[i + 449*t] ? R[B[i + 449*t]] * R[C[i + 449*t]] : R[B[i + 449*t]] + R[C[i + 449*t]];
R[i + 1132*t] = Op[i + 450*t] ? R[B[i + 450*t]] * R[C[i + 450*t]] : R[B[i + 450*t]] + R[C[i + 450*t]];
R[i + 1133*t] = Op[i + 451*t] ? R[B[i + 451*t]] * R[C[i + 451*t]] : R[B[i + 451*t]] + R[C[i + 451*t]];
R[i + 1134*t] = Op[i + 452*t] ? R[B[i + 452*t]] * R[C[i + 452*t]] : R[B[i + 452*t]] + R[C[i + 452*t]];
R[i + 1135*t] = Op[i + 453*t] ? R[B[i + 453*t]] * R[C[i + 453*t]] : R[B[i + 453*t]] + R[C[i + 453*t]];
R[i + 1136*t] = Op[i + 454*t] ? R[B[i + 454*t]] * R[C[i + 454*t]] : R[B[i + 454*t]] + R[C[i + 454*t]];
R[i + 1137*t] = Op[i + 455*t] ? R[B[i + 455*t]] * R[C[i + 455*t]] : R[B[i + 455*t]] + R[C[i + 455*t]];
R[i + 1138*t] = Op[i + 456*t] ? R[B[i + 456*t]] * R[C[i + 456*t]] : R[B[i + 456*t]] + R[C[i + 456*t]];
R[i + 1139*t] = Op[i + 457*t] ? R[B[i + 457*t]] * R[C[i + 457*t]] : R[B[i + 457*t]] + R[C[i + 457*t]];
R[i + 1140*t] = Op[i + 458*t] ? R[B[i + 458*t]] * R[C[i + 458*t]] : R[B[i + 458*t]] + R[C[i + 458*t]];
R[i + 1141*t] = Op[i + 459*t] ? R[B[i + 459*t]] * R[C[i + 459*t]] : R[B[i + 459*t]] + R[C[i + 459*t]];
R[i + 1142*t] = Op[i + 460*t] ? R[B[i + 460*t]] * R[C[i + 460*t]] : R[B[i + 460*t]] + R[C[i + 460*t]];
R[i + 1143*t] = Op[i + 461*t] ? R[B[i + 461*t]] * R[C[i + 461*t]] : R[B[i + 461*t]] + R[C[i + 461*t]];
R[i + 1144*t] = Op[i + 462*t] ? R[B[i + 462*t]] * R[C[i + 462*t]] : R[B[i + 462*t]] + R[C[i + 462*t]];
R[i + 1145*t] = Op[i + 463*t] ? R[B[i + 463*t]] * R[C[i + 463*t]] : R[B[i + 463*t]] + R[C[i + 463*t]];
R[i + 1146*t] = Op[i + 464*t] ? R[B[i + 464*t]] * R[C[i + 464*t]] : R[B[i + 464*t]] + R[C[i + 464*t]];
R[i + 1147*t] = Op[i + 465*t] ? R[B[i + 465*t]] * R[C[i + 465*t]] : R[B[i + 465*t]] + R[C[i + 465*t]];
__syncthreads();
R[i + 1148*t] = Op[i + 466*t] ? R[B[i + 466*t]] * R[C[i + 466*t]] : R[B[i + 466*t]] + R[C[i + 466*t]];
R[i + 1149*t] = Op[i + 467*t] ? R[B[i + 467*t]] * R[C[i + 467*t]] : R[B[i + 467*t]] + R[C[i + 467*t]];
R[i + 1150*t] = Op[i + 468*t] ? R[B[i + 468*t]] * R[C[i + 468*t]] : R[B[i + 468*t]] + R[C[i + 468*t]];
R[i + 1151*t] = Op[i + 469*t] ? R[B[i + 469*t]] * R[C[i + 469*t]] : R[B[i + 469*t]] + R[C[i + 469*t]];
R[i + 1152*t] = Op[i + 470*t] ? R[B[i + 470*t]] * R[C[i + 470*t]] : R[B[i + 470*t]] + R[C[i + 470*t]];
R[i + 1153*t] = Op[i + 471*t] ? R[B[i + 471*t]] * R[C[i + 471*t]] : R[B[i + 471*t]] + R[C[i + 471*t]];
R[i + 1154*t] = Op[i + 472*t] ? R[B[i + 472*t]] * R[C[i + 472*t]] : R[B[i + 472*t]] + R[C[i + 472*t]];
R[i + 1155*t] = Op[i + 473*t] ? R[B[i + 473*t]] * R[C[i + 473*t]] : R[B[i + 473*t]] + R[C[i + 473*t]];
R[i + 1156*t] = Op[i + 474*t] ? R[B[i + 474*t]] * R[C[i + 474*t]] : R[B[i + 474*t]] + R[C[i + 474*t]];
R[i + 1157*t] = Op[i + 475*t] ? R[B[i + 475*t]] * R[C[i + 475*t]] : R[B[i + 475*t]] + R[C[i + 475*t]];
R[i + 1158*t] = Op[i + 476*t] ? R[B[i + 476*t]] * R[C[i + 476*t]] : R[B[i + 476*t]] + R[C[i + 476*t]];
R[i + 1159*t] = Op[i + 477*t] ? R[B[i + 477*t]] * R[C[i + 477*t]] : R[B[i + 477*t]] + R[C[i + 477*t]];
R[i + 1160*t] = Op[i + 478*t] ? R[B[i + 478*t]] * R[C[i + 478*t]] : R[B[i + 478*t]] + R[C[i + 478*t]];
R[i + 1161*t] = Op[i + 479*t] ? R[B[i + 479*t]] * R[C[i + 479*t]] : R[B[i + 479*t]] + R[C[i + 479*t]];
R[i + 1162*t] = Op[i + 480*t] ? R[B[i + 480*t]] * R[C[i + 480*t]] : R[B[i + 480*t]] + R[C[i + 480*t]];
R[i + 1163*t] = Op[i + 481*t] ? R[B[i + 481*t]] * R[C[i + 481*t]] : R[B[i + 481*t]] + R[C[i + 481*t]];
R[i + 1164*t] = Op[i + 482*t] ? R[B[i + 482*t]] * R[C[i + 482*t]] : R[B[i + 482*t]] + R[C[i + 482*t]];
R[i + 1165*t] = Op[i + 483*t] ? R[B[i + 483*t]] * R[C[i + 483*t]] : R[B[i + 483*t]] + R[C[i + 483*t]];
R[i + 1166*t] = Op[i + 484*t] ? R[B[i + 484*t]] * R[C[i + 484*t]] : R[B[i + 484*t]] + R[C[i + 484*t]];
R[i + 1167*t] = Op[i + 485*t] ? R[B[i + 485*t]] * R[C[i + 485*t]] : R[B[i + 485*t]] + R[C[i + 485*t]];
R[i + 1168*t] = Op[i + 486*t] ? R[B[i + 486*t]] * R[C[i + 486*t]] : R[B[i + 486*t]] + R[C[i + 486*t]];
R[i + 1169*t] = Op[i + 487*t] ? R[B[i + 487*t]] * R[C[i + 487*t]] : R[B[i + 487*t]] + R[C[i + 487*t]];
R[i + 1170*t] = Op[i + 488*t] ? R[B[i + 488*t]] * R[C[i + 488*t]] : R[B[i + 488*t]] + R[C[i + 488*t]];
R[i + 1171*t] = Op[i + 489*t] ? R[B[i + 489*t]] * R[C[i + 489*t]] : R[B[i + 489*t]] + R[C[i + 489*t]];
R[i + 1172*t] = Op[i + 490*t] ? R[B[i + 490*t]] * R[C[i + 490*t]] : R[B[i + 490*t]] + R[C[i + 490*t]];
R[i + 1173*t] = Op[i + 491*t] ? R[B[i + 491*t]] * R[C[i + 491*t]] : R[B[i + 491*t]] + R[C[i + 491*t]];
R[i + 1174*t] = Op[i + 492*t] ? R[B[i + 492*t]] * R[C[i + 492*t]] : R[B[i + 492*t]] + R[C[i + 492*t]];
R[i + 1175*t] = Op[i + 493*t] ? R[B[i + 493*t]] * R[C[i + 493*t]] : R[B[i + 493*t]] + R[C[i + 493*t]];
R[i + 1176*t] = Op[i + 494*t] ? R[B[i + 494*t]] * R[C[i + 494*t]] : R[B[i + 494*t]] + R[C[i + 494*t]];
R[i + 1177*t] = Op[i + 495*t] ? R[B[i + 495*t]] * R[C[i + 495*t]] : R[B[i + 495*t]] + R[C[i + 495*t]];
R[i + 1178*t] = Op[i + 496*t] ? R[B[i + 496*t]] * R[C[i + 496*t]] : R[B[i + 496*t]] + R[C[i + 496*t]];
R[i + 1179*t] = Op[i + 497*t] ? R[B[i + 497*t]] * R[C[i + 497*t]] : R[B[i + 497*t]] + R[C[i + 497*t]];
R[i + 1180*t] = Op[i + 498*t] ? R[B[i + 498*t]] * R[C[i + 498*t]] : R[B[i + 498*t]] + R[C[i + 498*t]];
R[i + 1181*t] = Op[i + 499*t] ? R[B[i + 499*t]] * R[C[i + 499*t]] : R[B[i + 499*t]] + R[C[i + 499*t]];
R[i + 1182*t] = Op[i + 500*t] ? R[B[i + 500*t]] * R[C[i + 500*t]] : R[B[i + 500*t]] + R[C[i + 500*t]];
R[i + 1183*t] = Op[i + 501*t] ? R[B[i + 501*t]] * R[C[i + 501*t]] : R[B[i + 501*t]] + R[C[i + 501*t]];
R[i + 1184*t] = Op[i + 502*t] ? R[B[i + 502*t]] * R[C[i + 502*t]] : R[B[i + 502*t]] + R[C[i + 502*t]];
R[i + 1185*t] = Op[i + 503*t] ? R[B[i + 503*t]] * R[C[i + 503*t]] : R[B[i + 503*t]] + R[C[i + 503*t]];
R[i + 1186*t] = Op[i + 504*t] ? R[B[i + 504*t]] * R[C[i + 504*t]] : R[B[i + 504*t]] + R[C[i + 504*t]];
R[i + 1187*t] = Op[i + 505*t] ? R[B[i + 505*t]] * R[C[i + 505*t]] : R[B[i + 505*t]] + R[C[i + 505*t]];
R[i + 1188*t] = Op[i + 506*t] ? R[B[i + 506*t]] * R[C[i + 506*t]] : R[B[i + 506*t]] + R[C[i + 506*t]];
R[i + 1189*t] = Op[i + 507*t] ? R[B[i + 507*t]] * R[C[i + 507*t]] : R[B[i + 507*t]] + R[C[i + 507*t]];
R[i + 1190*t] = Op[i + 508*t] ? R[B[i + 508*t]] * R[C[i + 508*t]] : R[B[i + 508*t]] + R[C[i + 508*t]];
R[i + 1191*t] = Op[i + 509*t] ? R[B[i + 509*t]] * R[C[i + 509*t]] : R[B[i + 509*t]] + R[C[i + 509*t]];
R[i + 1192*t] = Op[i + 510*t] ? R[B[i + 510*t]] * R[C[i + 510*t]] : R[B[i + 510*t]] + R[C[i + 510*t]];
R[i + 1193*t] = Op[i + 511*t] ? R[B[i + 511*t]] * R[C[i + 511*t]] : R[B[i + 511*t]] + R[C[i + 511*t]];
R[i + 1194*t] = Op[i + 512*t] ? R[B[i + 512*t]] * R[C[i + 512*t]] : R[B[i + 512*t]] + R[C[i + 512*t]];
R[i + 1195*t] = Op[i + 513*t] ? R[B[i + 513*t]] * R[C[i + 513*t]] : R[B[i + 513*t]] + R[C[i + 513*t]];
R[i + 1196*t] = Op[i + 514*t] ? R[B[i + 514*t]] * R[C[i + 514*t]] : R[B[i + 514*t]] + R[C[i + 514*t]];
R[i + 1197*t] = Op[i + 515*t] ? R[B[i + 515*t]] * R[C[i + 515*t]] : R[B[i + 515*t]] + R[C[i + 515*t]];
R[i + 1198*t] = Op[i + 516*t] ? R[B[i + 516*t]] * R[C[i + 516*t]] : R[B[i + 516*t]] + R[C[i + 516*t]];
R[i + 1199*t] = Op[i + 517*t] ? R[B[i + 517*t]] * R[C[i + 517*t]] : R[B[i + 517*t]] + R[C[i + 517*t]];
R[i + 1200*t] = Op[i + 518*t] ? R[B[i + 518*t]] * R[C[i + 518*t]] : R[B[i + 518*t]] + R[C[i + 518*t]];
R[i + 1201*t] = Op[i + 519*t] ? R[B[i + 519*t]] * R[C[i + 519*t]] : R[B[i + 519*t]] + R[C[i + 519*t]];
R[i + 1202*t] = Op[i + 520*t] ? R[B[i + 520*t]] * R[C[i + 520*t]] : R[B[i + 520*t]] + R[C[i + 520*t]];
R[i + 1203*t] = Op[i + 521*t] ? R[B[i + 521*t]] * R[C[i + 521*t]] : R[B[i + 521*t]] + R[C[i + 521*t]];
R[i + 1204*t] = Op[i + 522*t] ? R[B[i + 522*t]] * R[C[i + 522*t]] : R[B[i + 522*t]] + R[C[i + 522*t]];
R[i + 1205*t] = Op[i + 523*t] ? R[B[i + 523*t]] * R[C[i + 523*t]] : R[B[i + 523*t]] + R[C[i + 523*t]];
R[i + 1206*t] = Op[i + 524*t] ? R[B[i + 524*t]] * R[C[i + 524*t]] : R[B[i + 524*t]] + R[C[i + 524*t]];
R[i + 1207*t] = Op[i + 525*t] ? R[B[i + 525*t]] * R[C[i + 525*t]] : R[B[i + 525*t]] + R[C[i + 525*t]];
R[i + 1208*t] = Op[i + 526*t] ? R[B[i + 526*t]] * R[C[i + 526*t]] : R[B[i + 526*t]] + R[C[i + 526*t]];
R[i + 1209*t] = Op[i + 527*t] ? R[B[i + 527*t]] * R[C[i + 527*t]] : R[B[i + 527*t]] + R[C[i + 527*t]];
R[i + 1210*t] = Op[i + 528*t] ? R[B[i + 528*t]] * R[C[i + 528*t]] : R[B[i + 528*t]] + R[C[i + 528*t]];
R[i + 1211*t] = Op[i + 529*t] ? R[B[i + 529*t]] * R[C[i + 529*t]] : R[B[i + 529*t]] + R[C[i + 529*t]];
R[i + 1212*t] = Op[i + 530*t] ? R[B[i + 530*t]] * R[C[i + 530*t]] : R[B[i + 530*t]] + R[C[i + 530*t]];
R[i + 1213*t] = Op[i + 531*t] ? R[B[i + 531*t]] * R[C[i + 531*t]] : R[B[i + 531*t]] + R[C[i + 531*t]];
R[i + 1214*t] = Op[i + 532*t] ? R[B[i + 532*t]] * R[C[i + 532*t]] : R[B[i + 532*t]] + R[C[i + 532*t]];
R[i + 1215*t] = Op[i + 533*t] ? R[B[i + 533*t]] * R[C[i + 533*t]] : R[B[i + 533*t]] + R[C[i + 533*t]];
R[i + 1216*t] = Op[i + 534*t] ? R[B[i + 534*t]] * R[C[i + 534*t]] : R[B[i + 534*t]] + R[C[i + 534*t]];
R[i + 1217*t] = Op[i + 535*t] ? R[B[i + 535*t]] * R[C[i + 535*t]] : R[B[i + 535*t]] + R[C[i + 535*t]];
R[i + 1218*t] = Op[i + 536*t] ? R[B[i + 536*t]] * R[C[i + 536*t]] : R[B[i + 536*t]] + R[C[i + 536*t]];
R[i + 1219*t] = Op[i + 537*t] ? R[B[i + 537*t]] * R[C[i + 537*t]] : R[B[i + 537*t]] + R[C[i + 537*t]];
R[i + 1220*t] = Op[i + 538*t] ? R[B[i + 538*t]] * R[C[i + 538*t]] : R[B[i + 538*t]] + R[C[i + 538*t]];
R[i + 1221*t] = Op[i + 539*t] ? R[B[i + 539*t]] * R[C[i + 539*t]] : R[B[i + 539*t]] + R[C[i + 539*t]];
R[i + 1222*t] = Op[i + 540*t] ? R[B[i + 540*t]] * R[C[i + 540*t]] : R[B[i + 540*t]] + R[C[i + 540*t]];
R[i + 1223*t] = Op[i + 541*t] ? R[B[i + 541*t]] * R[C[i + 541*t]] : R[B[i + 541*t]] + R[C[i + 541*t]];
R[i + 1224*t] = Op[i + 542*t] ? R[B[i + 542*t]] * R[C[i + 542*t]] : R[B[i + 542*t]] + R[C[i + 542*t]];
R[i + 1225*t] = Op[i + 543*t] ? R[B[i + 543*t]] * R[C[i + 543*t]] : R[B[i + 543*t]] + R[C[i + 543*t]];
R[i + 1226*t] = Op[i + 544*t] ? R[B[i + 544*t]] * R[C[i + 544*t]] : R[B[i + 544*t]] + R[C[i + 544*t]];
R[i + 1227*t] = Op[i + 545*t] ? R[B[i + 545*t]] * R[C[i + 545*t]] : R[B[i + 545*t]] + R[C[i + 545*t]];
R[i + 1228*t] = Op[i + 546*t] ? R[B[i + 546*t]] * R[C[i + 546*t]] : R[B[i + 546*t]] + R[C[i + 546*t]];
R[i + 1229*t] = Op[i + 547*t] ? R[B[i + 547*t]] * R[C[i + 547*t]] : R[B[i + 547*t]] + R[C[i + 547*t]];
R[i + 1230*t] = Op[i + 548*t] ? R[B[i + 548*t]] * R[C[i + 548*t]] : R[B[i + 548*t]] + R[C[i + 548*t]];
R[i + 1231*t] = Op[i + 549*t] ? R[B[i + 549*t]] * R[C[i + 549*t]] : R[B[i + 549*t]] + R[C[i + 549*t]];
R[i + 1232*t] = Op[i + 550*t] ? R[B[i + 550*t]] * R[C[i + 550*t]] : R[B[i + 550*t]] + R[C[i + 550*t]];
R[i + 1233*t] = Op[i + 551*t] ? R[B[i + 551*t]] * R[C[i + 551*t]] : R[B[i + 551*t]] + R[C[i + 551*t]];
R[i + 1234*t] = Op[i + 552*t] ? R[B[i + 552*t]] * R[C[i + 552*t]] : R[B[i + 552*t]] + R[C[i + 552*t]];
R[i + 1235*t] = Op[i + 553*t] ? R[B[i + 553*t]] * R[C[i + 553*t]] : R[B[i + 553*t]] + R[C[i + 553*t]];
R[i + 1236*t] = Op[i + 554*t] ? R[B[i + 554*t]] * R[C[i + 554*t]] : R[B[i + 554*t]] + R[C[i + 554*t]];
R[i + 1237*t] = Op[i + 555*t] ? R[B[i + 555*t]] * R[C[i + 555*t]] : R[B[i + 555*t]] + R[C[i + 555*t]];
R[i + 1238*t] = Op[i + 556*t] ? R[B[i + 556*t]] * R[C[i + 556*t]] : R[B[i + 556*t]] + R[C[i + 556*t]];
R[i + 1239*t] = Op[i + 557*t] ? R[B[i + 557*t]] * R[C[i + 557*t]] : R[B[i + 557*t]] + R[C[i + 557*t]];
R[i + 1240*t] = Op[i + 558*t] ? R[B[i + 558*t]] * R[C[i + 558*t]] : R[B[i + 558*t]] + R[C[i + 558*t]];
R[i + 1241*t] = Op[i + 559*t] ? R[B[i + 559*t]] * R[C[i + 559*t]] : R[B[i + 559*t]] + R[C[i + 559*t]];
R[i + 1242*t] = Op[i + 560*t] ? R[B[i + 560*t]] * R[C[i + 560*t]] : R[B[i + 560*t]] + R[C[i + 560*t]];
R[i + 1243*t] = Op[i + 561*t] ? R[B[i + 561*t]] * R[C[i + 561*t]] : R[B[i + 561*t]] + R[C[i + 561*t]];
R[i + 1244*t] = Op[i + 562*t] ? R[B[i + 562*t]] * R[C[i + 562*t]] : R[B[i + 562*t]] + R[C[i + 562*t]];
R[i + 1245*t] = Op[i + 563*t] ? R[B[i + 563*t]] * R[C[i + 563*t]] : R[B[i + 563*t]] + R[C[i + 563*t]];
R[i + 1246*t] = Op[i + 564*t] ? R[B[i + 564*t]] * R[C[i + 564*t]] : R[B[i + 564*t]] + R[C[i + 564*t]];
R[i + 1247*t] = Op[i + 565*t] ? R[B[i + 565*t]] * R[C[i + 565*t]] : R[B[i + 565*t]] + R[C[i + 565*t]];
R[i + 1248*t] = Op[i + 566*t] ? R[B[i + 566*t]] * R[C[i + 566*t]] : R[B[i + 566*t]] + R[C[i + 566*t]];
R[i + 1249*t] = Op[i + 567*t] ? R[B[i + 567*t]] * R[C[i + 567*t]] : R[B[i + 567*t]] + R[C[i + 567*t]];
R[i + 1250*t] = Op[i + 568*t] ? R[B[i + 568*t]] * R[C[i + 568*t]] : R[B[i + 568*t]] + R[C[i + 568*t]];
R[i + 1251*t] = Op[i + 569*t] ? R[B[i + 569*t]] * R[C[i + 569*t]] : R[B[i + 569*t]] + R[C[i + 569*t]];
R[i + 1252*t] = Op[i + 570*t] ? R[B[i + 570*t]] * R[C[i + 570*t]] : R[B[i + 570*t]] + R[C[i + 570*t]];
R[i + 1253*t] = Op[i + 571*t] ? R[B[i + 571*t]] * R[C[i + 571*t]] : R[B[i + 571*t]] + R[C[i + 571*t]];
R[i + 1254*t] = Op[i + 572*t] ? R[B[i + 572*t]] * R[C[i + 572*t]] : R[B[i + 572*t]] + R[C[i + 572*t]];
R[i + 1255*t] = Op[i + 573*t] ? R[B[i + 573*t]] * R[C[i + 573*t]] : R[B[i + 573*t]] + R[C[i + 573*t]];
R[i + 1256*t] = Op[i + 574*t] ? R[B[i + 574*t]] * R[C[i + 574*t]] : R[B[i + 574*t]] + R[C[i + 574*t]];
R[i + 1257*t] = Op[i + 575*t] ? R[B[i + 575*t]] * R[C[i + 575*t]] : R[B[i + 575*t]] + R[C[i + 575*t]];
__syncthreads();
R[i + 1258*t] = Op[i + 576*t] ? R[B[i + 576*t]] * R[C[i + 576*t]] : R[B[i + 576*t]] + R[C[i + 576*t]];
R[i + 1259*t] = Op[i + 577*t] ? R[B[i + 577*t]] * R[C[i + 577*t]] : R[B[i + 577*t]] + R[C[i + 577*t]];
R[i + 1260*t] = Op[i + 578*t] ? R[B[i + 578*t]] * R[C[i + 578*t]] : R[B[i + 578*t]] + R[C[i + 578*t]];
R[i + 1261*t] = Op[i + 579*t] ? R[B[i + 579*t]] * R[C[i + 579*t]] : R[B[i + 579*t]] + R[C[i + 579*t]];
R[i + 1262*t] = Op[i + 580*t] ? R[B[i + 580*t]] * R[C[i + 580*t]] : R[B[i + 580*t]] + R[C[i + 580*t]];
R[i + 1263*t] = Op[i + 581*t] ? R[B[i + 581*t]] * R[C[i + 581*t]] : R[B[i + 581*t]] + R[C[i + 581*t]];
R[i + 1264*t] = Op[i + 582*t] ? R[B[i + 582*t]] * R[C[i + 582*t]] : R[B[i + 582*t]] + R[C[i + 582*t]];
R[i + 1265*t] = Op[i + 583*t] ? R[B[i + 583*t]] * R[C[i + 583*t]] : R[B[i + 583*t]] + R[C[i + 583*t]];
R[i + 1266*t] = Op[i + 584*t] ? R[B[i + 584*t]] * R[C[i + 584*t]] : R[B[i + 584*t]] + R[C[i + 584*t]];
R[i + 1267*t] = Op[i + 585*t] ? R[B[i + 585*t]] * R[C[i + 585*t]] : R[B[i + 585*t]] + R[C[i + 585*t]];
R[i + 1268*t] = Op[i + 586*t] ? R[B[i + 586*t]] * R[C[i + 586*t]] : R[B[i + 586*t]] + R[C[i + 586*t]];
R[i + 1269*t] = Op[i + 587*t] ? R[B[i + 587*t]] * R[C[i + 587*t]] : R[B[i + 587*t]] + R[C[i + 587*t]];
R[i + 1270*t] = Op[i + 588*t] ? R[B[i + 588*t]] * R[C[i + 588*t]] : R[B[i + 588*t]] + R[C[i + 588*t]];
R[i + 1271*t] = Op[i + 589*t] ? R[B[i + 589*t]] * R[C[i + 589*t]] : R[B[i + 589*t]] + R[C[i + 589*t]];
R[i + 1272*t] = Op[i + 590*t] ? R[B[i + 590*t]] * R[C[i + 590*t]] : R[B[i + 590*t]] + R[C[i + 590*t]];
R[i + 1273*t] = Op[i + 591*t] ? R[B[i + 591*t]] * R[C[i + 591*t]] : R[B[i + 591*t]] + R[C[i + 591*t]];
R[i + 1274*t] = Op[i + 592*t] ? R[B[i + 592*t]] * R[C[i + 592*t]] : R[B[i + 592*t]] + R[C[i + 592*t]];
R[i + 1275*t] = Op[i + 593*t] ? R[B[i + 593*t]] * R[C[i + 593*t]] : R[B[i + 593*t]] + R[C[i + 593*t]];
R[i + 1276*t] = Op[i + 594*t] ? R[B[i + 594*t]] * R[C[i + 594*t]] : R[B[i + 594*t]] + R[C[i + 594*t]];
R[i + 1277*t] = Op[i + 595*t] ? R[B[i + 595*t]] * R[C[i + 595*t]] : R[B[i + 595*t]] + R[C[i + 595*t]];
R[i + 1278*t] = Op[i + 596*t] ? R[B[i + 596*t]] * R[C[i + 596*t]] : R[B[i + 596*t]] + R[C[i + 596*t]];
R[i + 1279*t] = Op[i + 597*t] ? R[B[i + 597*t]] * R[C[i + 597*t]] : R[B[i + 597*t]] + R[C[i + 597*t]];
R[i + 1280*t] = Op[i + 598*t] ? R[B[i + 598*t]] * R[C[i + 598*t]] : R[B[i + 598*t]] + R[C[i + 598*t]];
R[i + 1281*t] = Op[i + 599*t] ? R[B[i + 599*t]] * R[C[i + 599*t]] : R[B[i + 599*t]] + R[C[i + 599*t]];
R[i + 1282*t] = Op[i + 600*t] ? R[B[i + 600*t]] * R[C[i + 600*t]] : R[B[i + 600*t]] + R[C[i + 600*t]];
R[i + 1283*t] = Op[i + 601*t] ? R[B[i + 601*t]] * R[C[i + 601*t]] : R[B[i + 601*t]] + R[C[i + 601*t]];
R[i + 1284*t] = Op[i + 602*t] ? R[B[i + 602*t]] * R[C[i + 602*t]] : R[B[i + 602*t]] + R[C[i + 602*t]];
R[i + 1285*t] = Op[i + 603*t] ? R[B[i + 603*t]] * R[C[i + 603*t]] : R[B[i + 603*t]] + R[C[i + 603*t]];
R[i + 1286*t] = Op[i + 604*t] ? R[B[i + 604*t]] * R[C[i + 604*t]] : R[B[i + 604*t]] + R[C[i + 604*t]];
R[i + 1287*t] = Op[i + 605*t] ? R[B[i + 605*t]] * R[C[i + 605*t]] : R[B[i + 605*t]] + R[C[i + 605*t]];
R[i + 1288*t] = Op[i + 606*t] ? R[B[i + 606*t]] * R[C[i + 606*t]] : R[B[i + 606*t]] + R[C[i + 606*t]];
R[i + 1289*t] = Op[i + 607*t] ? R[B[i + 607*t]] * R[C[i + 607*t]] : R[B[i + 607*t]] + R[C[i + 607*t]];
R[i + 1290*t] = Op[i + 608*t] ? R[B[i + 608*t]] * R[C[i + 608*t]] : R[B[i + 608*t]] + R[C[i + 608*t]];
R[i + 1291*t] = Op[i + 609*t] ? R[B[i + 609*t]] * R[C[i + 609*t]] : R[B[i + 609*t]] + R[C[i + 609*t]];
R[i + 1292*t] = Op[i + 610*t] ? R[B[i + 610*t]] * R[C[i + 610*t]] : R[B[i + 610*t]] + R[C[i + 610*t]];
R[i + 1293*t] = Op[i + 611*t] ? R[B[i + 611*t]] * R[C[i + 611*t]] : R[B[i + 611*t]] + R[C[i + 611*t]];
R[i + 1294*t] = Op[i + 612*t] ? R[B[i + 612*t]] * R[C[i + 612*t]] : R[B[i + 612*t]] + R[C[i + 612*t]];
R[i + 1295*t] = Op[i + 613*t] ? R[B[i + 613*t]] * R[C[i + 613*t]] : R[B[i + 613*t]] + R[C[i + 613*t]];
R[i + 1296*t] = Op[i + 614*t] ? R[B[i + 614*t]] * R[C[i + 614*t]] : R[B[i + 614*t]] + R[C[i + 614*t]];
R[i + 1297*t] = Op[i + 615*t] ? R[B[i + 615*t]] * R[C[i + 615*t]] : R[B[i + 615*t]] + R[C[i + 615*t]];
R[i + 1298*t] = Op[i + 616*t] ? R[B[i + 616*t]] * R[C[i + 616*t]] : R[B[i + 616*t]] + R[C[i + 616*t]];
R[i + 1299*t] = Op[i + 617*t] ? R[B[i + 617*t]] * R[C[i + 617*t]] : R[B[i + 617*t]] + R[C[i + 617*t]];
R[i + 1300*t] = Op[i + 618*t] ? R[B[i + 618*t]] * R[C[i + 618*t]] : R[B[i + 618*t]] + R[C[i + 618*t]];
R[i + 1301*t] = Op[i + 619*t] ? R[B[i + 619*t]] * R[C[i + 619*t]] : R[B[i + 619*t]] + R[C[i + 619*t]];
R[i + 1302*t] = Op[i + 620*t] ? R[B[i + 620*t]] * R[C[i + 620*t]] : R[B[i + 620*t]] + R[C[i + 620*t]];
R[i + 1303*t] = Op[i + 621*t] ? R[B[i + 621*t]] * R[C[i + 621*t]] : R[B[i + 621*t]] + R[C[i + 621*t]];
R[i + 1304*t] = Op[i + 622*t] ? R[B[i + 622*t]] * R[C[i + 622*t]] : R[B[i + 622*t]] + R[C[i + 622*t]];
R[i + 1305*t] = Op[i + 623*t] ? R[B[i + 623*t]] * R[C[i + 623*t]] : R[B[i + 623*t]] + R[C[i + 623*t]];
R[i + 1306*t] = Op[i + 624*t] ? R[B[i + 624*t]] * R[C[i + 624*t]] : R[B[i + 624*t]] + R[C[i + 624*t]];
R[i + 1307*t] = Op[i + 625*t] ? R[B[i + 625*t]] * R[C[i + 625*t]] : R[B[i + 625*t]] + R[C[i + 625*t]];
R[i + 1308*t] = Op[i + 626*t] ? R[B[i + 626*t]] * R[C[i + 626*t]] : R[B[i + 626*t]] + R[C[i + 626*t]];
R[i + 1309*t] = Op[i + 627*t] ? R[B[i + 627*t]] * R[C[i + 627*t]] : R[B[i + 627*t]] + R[C[i + 627*t]];
R[i + 1310*t] = Op[i + 628*t] ? R[B[i + 628*t]] * R[C[i + 628*t]] : R[B[i + 628*t]] + R[C[i + 628*t]];
R[i + 1311*t] = Op[i + 629*t] ? R[B[i + 629*t]] * R[C[i + 629*t]] : R[B[i + 629*t]] + R[C[i + 629*t]];
R[i + 1312*t] = Op[i + 630*t] ? R[B[i + 630*t]] * R[C[i + 630*t]] : R[B[i + 630*t]] + R[C[i + 630*t]];
R[i + 1313*t] = Op[i + 631*t] ? R[B[i + 631*t]] * R[C[i + 631*t]] : R[B[i + 631*t]] + R[C[i + 631*t]];
R[i + 1314*t] = Op[i + 632*t] ? R[B[i + 632*t]] * R[C[i + 632*t]] : R[B[i + 632*t]] + R[C[i + 632*t]];
R[i + 1315*t] = Op[i + 633*t] ? R[B[i + 633*t]] * R[C[i + 633*t]] : R[B[i + 633*t]] + R[C[i + 633*t]];
R[i + 1316*t] = Op[i + 634*t] ? R[B[i + 634*t]] * R[C[i + 634*t]] : R[B[i + 634*t]] + R[C[i + 634*t]];
R[i + 1317*t] = Op[i + 635*t] ? R[B[i + 635*t]] * R[C[i + 635*t]] : R[B[i + 635*t]] + R[C[i + 635*t]];
R[i + 1318*t] = Op[i + 636*t] ? R[B[i + 636*t]] * R[C[i + 636*t]] : R[B[i + 636*t]] + R[C[i + 636*t]];
R[i + 1319*t] = Op[i + 637*t] ? R[B[i + 637*t]] * R[C[i + 637*t]] : R[B[i + 637*t]] + R[C[i + 637*t]];
R[i + 1320*t] = Op[i + 638*t] ? R[B[i + 638*t]] * R[C[i + 638*t]] : R[B[i + 638*t]] + R[C[i + 638*t]];
R[i + 1321*t] = Op[i + 639*t] ? R[B[i + 639*t]] * R[C[i + 639*t]] : R[B[i + 639*t]] + R[C[i + 639*t]];
R[i + 1322*t] = Op[i + 640*t] ? R[B[i + 640*t]] * R[C[i + 640*t]] : R[B[i + 640*t]] + R[C[i + 640*t]];
R[i + 1323*t] = Op[i + 641*t] ? R[B[i + 641*t]] * R[C[i + 641*t]] : R[B[i + 641*t]] + R[C[i + 641*t]];
R[i + 1324*t] = Op[i + 642*t] ? R[B[i + 642*t]] * R[C[i + 642*t]] : R[B[i + 642*t]] + R[C[i + 642*t]];
R[i + 1325*t] = Op[i + 643*t] ? R[B[i + 643*t]] * R[C[i + 643*t]] : R[B[i + 643*t]] + R[C[i + 643*t]];
R[i + 1326*t] = Op[i + 644*t] ? R[B[i + 644*t]] * R[C[i + 644*t]] : R[B[i + 644*t]] + R[C[i + 644*t]];
R[i + 1327*t] = Op[i + 645*t] ? R[B[i + 645*t]] * R[C[i + 645*t]] : R[B[i + 645*t]] + R[C[i + 645*t]];
R[i + 1328*t] = Op[i + 646*t] ? R[B[i + 646*t]] * R[C[i + 646*t]] : R[B[i + 646*t]] + R[C[i + 646*t]];
R[i + 1329*t] = Op[i + 647*t] ? R[B[i + 647*t]] * R[C[i + 647*t]] : R[B[i + 647*t]] + R[C[i + 647*t]];
__syncthreads();
R[i + 1330*t] = Op[i + 648*t] ? R[B[i + 648*t]] * R[C[i + 648*t]] : R[B[i + 648*t]] + R[C[i + 648*t]];
R[i + 1331*t] = Op[i + 649*t] ? R[B[i + 649*t]] * R[C[i + 649*t]] : R[B[i + 649*t]] + R[C[i + 649*t]];
R[i + 1332*t] = Op[i + 650*t] ? R[B[i + 650*t]] * R[C[i + 650*t]] : R[B[i + 650*t]] + R[C[i + 650*t]];
R[i + 1333*t] = Op[i + 651*t] ? R[B[i + 651*t]] * R[C[i + 651*t]] : R[B[i + 651*t]] + R[C[i + 651*t]];
R[i + 1334*t] = Op[i + 652*t] ? R[B[i + 652*t]] * R[C[i + 652*t]] : R[B[i + 652*t]] + R[C[i + 652*t]];
R[i + 1335*t] = Op[i + 653*t] ? R[B[i + 653*t]] * R[C[i + 653*t]] : R[B[i + 653*t]] + R[C[i + 653*t]];
R[i + 1336*t] = Op[i + 654*t] ? R[B[i + 654*t]] * R[C[i + 654*t]] : R[B[i + 654*t]] + R[C[i + 654*t]];
R[i + 1337*t] = Op[i + 655*t] ? R[B[i + 655*t]] * R[C[i + 655*t]] : R[B[i + 655*t]] + R[C[i + 655*t]];
R[i + 1338*t] = Op[i + 656*t] ? R[B[i + 656*t]] * R[C[i + 656*t]] : R[B[i + 656*t]] + R[C[i + 656*t]];
R[i + 1339*t] = Op[i + 657*t] ? R[B[i + 657*t]] * R[C[i + 657*t]] : R[B[i + 657*t]] + R[C[i + 657*t]];
R[i + 1340*t] = Op[i + 658*t] ? R[B[i + 658*t]] * R[C[i + 658*t]] : R[B[i + 658*t]] + R[C[i + 658*t]];
R[i + 1341*t] = Op[i + 659*t] ? R[B[i + 659*t]] * R[C[i + 659*t]] : R[B[i + 659*t]] + R[C[i + 659*t]];
R[i + 1342*t] = Op[i + 660*t] ? R[B[i + 660*t]] * R[C[i + 660*t]] : R[B[i + 660*t]] + R[C[i + 660*t]];
R[i + 1343*t] = Op[i + 661*t] ? R[B[i + 661*t]] * R[C[i + 661*t]] : R[B[i + 661*t]] + R[C[i + 661*t]];
R[i + 1344*t] = Op[i + 662*t] ? R[B[i + 662*t]] * R[C[i + 662*t]] : R[B[i + 662*t]] + R[C[i + 662*t]];
R[i + 1345*t] = Op[i + 663*t] ? R[B[i + 663*t]] * R[C[i + 663*t]] : R[B[i + 663*t]] + R[C[i + 663*t]];
R[i + 1346*t] = Op[i + 664*t] ? R[B[i + 664*t]] * R[C[i + 664*t]] : R[B[i + 664*t]] + R[C[i + 664*t]];
R[i + 1347*t] = Op[i + 665*t] ? R[B[i + 665*t]] * R[C[i + 665*t]] : R[B[i + 665*t]] + R[C[i + 665*t]];
R[i + 1348*t] = Op[i + 666*t] ? R[B[i + 666*t]] * R[C[i + 666*t]] : R[B[i + 666*t]] + R[C[i + 666*t]];
R[i + 1349*t] = Op[i + 667*t] ? R[B[i + 667*t]] * R[C[i + 667*t]] : R[B[i + 667*t]] + R[C[i + 667*t]];
R[i + 1350*t] = Op[i + 668*t] ? R[B[i + 668*t]] * R[C[i + 668*t]] : R[B[i + 668*t]] + R[C[i + 668*t]];
R[i + 1351*t] = Op[i + 669*t] ? R[B[i + 669*t]] * R[C[i + 669*t]] : R[B[i + 669*t]] + R[C[i + 669*t]];
R[i + 1352*t] = Op[i + 670*t] ? R[B[i + 670*t]] * R[C[i + 670*t]] : R[B[i + 670*t]] + R[C[i + 670*t]];
R[i + 1353*t] = Op[i + 671*t] ? R[B[i + 671*t]] * R[C[i + 671*t]] : R[B[i + 671*t]] + R[C[i + 671*t]];
R[i + 1354*t] = Op[i + 672*t] ? R[B[i + 672*t]] * R[C[i + 672*t]] : R[B[i + 672*t]] + R[C[i + 672*t]];
R[i + 1355*t] = Op[i + 673*t] ? R[B[i + 673*t]] * R[C[i + 673*t]] : R[B[i + 673*t]] + R[C[i + 673*t]];
R[i + 1356*t] = Op[i + 674*t] ? R[B[i + 674*t]] * R[C[i + 674*t]] : R[B[i + 674*t]] + R[C[i + 674*t]];
R[i + 1357*t] = Op[i + 675*t] ? R[B[i + 675*t]] * R[C[i + 675*t]] : R[B[i + 675*t]] + R[C[i + 675*t]];
R[i + 1358*t] = Op[i + 676*t] ? R[B[i + 676*t]] * R[C[i + 676*t]] : R[B[i + 676*t]] + R[C[i + 676*t]];
R[i + 1359*t] = Op[i + 677*t] ? R[B[i + 677*t]] * R[C[i + 677*t]] : R[B[i + 677*t]] + R[C[i + 677*t]];
R[i + 1360*t] = Op[i + 678*t] ? R[B[i + 678*t]] * R[C[i + 678*t]] : R[B[i + 678*t]] + R[C[i + 678*t]];
R[i + 1361*t] = Op[i + 679*t] ? R[B[i + 679*t]] * R[C[i + 679*t]] : R[B[i + 679*t]] + R[C[i + 679*t]];
R[i + 1362*t] = Op[i + 680*t] ? R[B[i + 680*t]] * R[C[i + 680*t]] : R[B[i + 680*t]] + R[C[i + 680*t]];
R[i + 1363*t] = Op[i + 681*t] ? R[B[i + 681*t]] * R[C[i + 681*t]] : R[B[i + 681*t]] + R[C[i + 681*t]];
R[i + 1364*t] = Op[i + 682*t] ? R[B[i + 682*t]] * R[C[i + 682*t]] : R[B[i + 682*t]] + R[C[i + 682*t]];
R[i + 1365*t] = Op[i + 683*t] ? R[B[i + 683*t]] * R[C[i + 683*t]] : R[B[i + 683*t]] + R[C[i + 683*t]];
R[i + 1366*t] = Op[i + 684*t] ? R[B[i + 684*t]] * R[C[i + 684*t]] : R[B[i + 684*t]] + R[C[i + 684*t]];
R[i + 1367*t] = Op[i + 685*t] ? R[B[i + 685*t]] * R[C[i + 685*t]] : R[B[i + 685*t]] + R[C[i + 685*t]];
R[i + 1368*t] = Op[i + 686*t] ? R[B[i + 686*t]] * R[C[i + 686*t]] : R[B[i + 686*t]] + R[C[i + 686*t]];
R[i + 1369*t] = Op[i + 687*t] ? R[B[i + 687*t]] * R[C[i + 687*t]] : R[B[i + 687*t]] + R[C[i + 687*t]];
R[i + 1370*t] = Op[i + 688*t] ? R[B[i + 688*t]] * R[C[i + 688*t]] : R[B[i + 688*t]] + R[C[i + 688*t]];
R[i + 1371*t] = Op[i + 689*t] ? R[B[i + 689*t]] * R[C[i + 689*t]] : R[B[i + 689*t]] + R[C[i + 689*t]];
R[i + 1372*t] = Op[i + 690*t] ? R[B[i + 690*t]] * R[C[i + 690*t]] : R[B[i + 690*t]] + R[C[i + 690*t]];
R[i + 1373*t] = Op[i + 691*t] ? R[B[i + 691*t]] * R[C[i + 691*t]] : R[B[i + 691*t]] + R[C[i + 691*t]];
R[i + 1374*t] = Op[i + 692*t] ? R[B[i + 692*t]] * R[C[i + 692*t]] : R[B[i + 692*t]] + R[C[i + 692*t]];
R[i + 1375*t] = Op[i + 693*t] ? R[B[i + 693*t]] * R[C[i + 693*t]] : R[B[i + 693*t]] + R[C[i + 693*t]];
R[i + 1376*t] = Op[i + 694*t] ? R[B[i + 694*t]] * R[C[i + 694*t]] : R[B[i + 694*t]] + R[C[i + 694*t]];
R[i + 1377*t] = Op[i + 695*t] ? R[B[i + 695*t]] * R[C[i + 695*t]] : R[B[i + 695*t]] + R[C[i + 695*t]];
R[i + 1378*t] = Op[i + 696*t] ? R[B[i + 696*t]] * R[C[i + 696*t]] : R[B[i + 696*t]] + R[C[i + 696*t]];
R[i + 1379*t] = Op[i + 697*t] ? R[B[i + 697*t]] * R[C[i + 697*t]] : R[B[i + 697*t]] + R[C[i + 697*t]];
R[i + 1380*t] = Op[i + 698*t] ? R[B[i + 698*t]] * R[C[i + 698*t]] : R[B[i + 698*t]] + R[C[i + 698*t]];
R[i + 1381*t] = Op[i + 699*t] ? R[B[i + 699*t]] * R[C[i + 699*t]] : R[B[i + 699*t]] + R[C[i + 699*t]];
R[i + 1382*t] = Op[i + 700*t] ? R[B[i + 700*t]] * R[C[i + 700*t]] : R[B[i + 700*t]] + R[C[i + 700*t]];
R[i + 1383*t] = Op[i + 701*t] ? R[B[i + 701*t]] * R[C[i + 701*t]] : R[B[i + 701*t]] + R[C[i + 701*t]];
R[i + 1384*t] = Op[i + 702*t] ? R[B[i + 702*t]] * R[C[i + 702*t]] : R[B[i + 702*t]] + R[C[i + 702*t]];
R[i + 1385*t] = Op[i + 703*t] ? R[B[i + 703*t]] * R[C[i + 703*t]] : R[B[i + 703*t]] + R[C[i + 703*t]];
R[i + 1386*t] = Op[i + 704*t] ? R[B[i + 704*t]] * R[C[i + 704*t]] : R[B[i + 704*t]] + R[C[i + 704*t]];
R[i + 1387*t] = Op[i + 705*t] ? R[B[i + 705*t]] * R[C[i + 705*t]] : R[B[i + 705*t]] + R[C[i + 705*t]];
R[i + 1388*t] = Op[i + 706*t] ? R[B[i + 706*t]] * R[C[i + 706*t]] : R[B[i + 706*t]] + R[C[i + 706*t]];
R[i + 1389*t] = Op[i + 707*t] ? R[B[i + 707*t]] * R[C[i + 707*t]] : R[B[i + 707*t]] + R[C[i + 707*t]];
R[i + 1390*t] = Op[i + 708*t] ? R[B[i + 708*t]] * R[C[i + 708*t]] : R[B[i + 708*t]] + R[C[i + 708*t]];
R[i + 1391*t] = Op[i + 709*t] ? R[B[i + 709*t]] * R[C[i + 709*t]] : R[B[i + 709*t]] + R[C[i + 709*t]];
R[i + 1392*t] = Op[i + 710*t] ? R[B[i + 710*t]] * R[C[i + 710*t]] : R[B[i + 710*t]] + R[C[i + 710*t]];
R[i + 1393*t] = Op[i + 711*t] ? R[B[i + 711*t]] * R[C[i + 711*t]] : R[B[i + 711*t]] + R[C[i + 711*t]];
R[i + 1394*t] = Op[i + 712*t] ? R[B[i + 712*t]] * R[C[i + 712*t]] : R[B[i + 712*t]] + R[C[i + 712*t]];
R[i + 1395*t] = Op[i + 713*t] ? R[B[i + 713*t]] * R[C[i + 713*t]] : R[B[i + 713*t]] + R[C[i + 713*t]];
R[i + 1396*t] = Op[i + 714*t] ? R[B[i + 714*t]] * R[C[i + 714*t]] : R[B[i + 714*t]] + R[C[i + 714*t]];
R[i + 1397*t] = Op[i + 715*t] ? R[B[i + 715*t]] * R[C[i + 715*t]] : R[B[i + 715*t]] + R[C[i + 715*t]];
R[i + 1398*t] = Op[i + 716*t] ? R[B[i + 716*t]] * R[C[i + 716*t]] : R[B[i + 716*t]] + R[C[i + 716*t]];
R[i + 1399*t] = Op[i + 717*t] ? R[B[i + 717*t]] * R[C[i + 717*t]] : R[B[i + 717*t]] + R[C[i + 717*t]];
R[i + 1400*t] = Op[i + 718*t] ? R[B[i + 718*t]] * R[C[i + 718*t]] : R[B[i + 718*t]] + R[C[i + 718*t]];
R[i + 1401*t] = Op[i + 719*t] ? R[B[i + 719*t]] * R[C[i + 719*t]] : R[B[i + 719*t]] + R[C[i + 719*t]];
R[i + 1402*t] = Op[i + 720*t] ? R[B[i + 720*t]] * R[C[i + 720*t]] : R[B[i + 720*t]] + R[C[i + 720*t]];
R[i + 1403*t] = Op[i + 721*t] ? R[B[i + 721*t]] * R[C[i + 721*t]] : R[B[i + 721*t]] + R[C[i + 721*t]];
R[i + 1404*t] = Op[i + 722*t] ? R[B[i + 722*t]] * R[C[i + 722*t]] : R[B[i + 722*t]] + R[C[i + 722*t]];
R[i + 1405*t] = Op[i + 723*t] ? R[B[i + 723*t]] * R[C[i + 723*t]] : R[B[i + 723*t]] + R[C[i + 723*t]];
R[i + 1406*t] = Op[i + 724*t] ? R[B[i + 724*t]] * R[C[i + 724*t]] : R[B[i + 724*t]] + R[C[i + 724*t]];
R[i + 1407*t] = Op[i + 725*t] ? R[B[i + 725*t]] * R[C[i + 725*t]] : R[B[i + 725*t]] + R[C[i + 725*t]];
R[i + 1408*t] = Op[i + 726*t] ? R[B[i + 726*t]] * R[C[i + 726*t]] : R[B[i + 726*t]] + R[C[i + 726*t]];
R[i + 1409*t] = Op[i + 727*t] ? R[B[i + 727*t]] * R[C[i + 727*t]] : R[B[i + 727*t]] + R[C[i + 727*t]];
R[i + 1410*t] = Op[i + 728*t] ? R[B[i + 728*t]] * R[C[i + 728*t]] : R[B[i + 728*t]] + R[C[i + 728*t]];
R[i + 1411*t] = Op[i + 729*t] ? R[B[i + 729*t]] * R[C[i + 729*t]] : R[B[i + 729*t]] + R[C[i + 729*t]];
R[i + 1412*t] = Op[i + 730*t] ? R[B[i + 730*t]] * R[C[i + 730*t]] : R[B[i + 730*t]] + R[C[i + 730*t]];
R[i + 1413*t] = Op[i + 731*t] ? R[B[i + 731*t]] * R[C[i + 731*t]] : R[B[i + 731*t]] + R[C[i + 731*t]];
R[i + 1414*t] = Op[i + 732*t] ? R[B[i + 732*t]] * R[C[i + 732*t]] : R[B[i + 732*t]] + R[C[i + 732*t]];
R[i + 1415*t] = Op[i + 733*t] ? R[B[i + 733*t]] * R[C[i + 733*t]] : R[B[i + 733*t]] + R[C[i + 733*t]];
R[i + 1416*t] = Op[i + 734*t] ? R[B[i + 734*t]] * R[C[i + 734*t]] : R[B[i + 734*t]] + R[C[i + 734*t]];
R[i + 1417*t] = Op[i + 735*t] ? R[B[i + 735*t]] * R[C[i + 735*t]] : R[B[i + 735*t]] + R[C[i + 735*t]];
R[i + 1418*t] = Op[i + 736*t] ? R[B[i + 736*t]] * R[C[i + 736*t]] : R[B[i + 736*t]] + R[C[i + 736*t]];
R[i + 1419*t] = Op[i + 737*t] ? R[B[i + 737*t]] * R[C[i + 737*t]] : R[B[i + 737*t]] + R[C[i + 737*t]];
R[i + 1420*t] = Op[i + 738*t] ? R[B[i + 738*t]] * R[C[i + 738*t]] : R[B[i + 738*t]] + R[C[i + 738*t]];
R[i + 1421*t] = Op[i + 739*t] ? R[B[i + 739*t]] * R[C[i + 739*t]] : R[B[i + 739*t]] + R[C[i + 739*t]];
R[i + 1422*t] = Op[i + 740*t] ? R[B[i + 740*t]] * R[C[i + 740*t]] : R[B[i + 740*t]] + R[C[i + 740*t]];
R[i + 1423*t] = Op[i + 741*t] ? R[B[i + 741*t]] * R[C[i + 741*t]] : R[B[i + 741*t]] + R[C[i + 741*t]];
R[i + 1424*t] = Op[i + 742*t] ? R[B[i + 742*t]] * R[C[i + 742*t]] : R[B[i + 742*t]] + R[C[i + 742*t]];
R[i + 1425*t] = Op[i + 743*t] ? R[B[i + 743*t]] * R[C[i + 743*t]] : R[B[i + 743*t]] + R[C[i + 743*t]];
R[i + 1426*t] = Op[i + 744*t] ? R[B[i + 744*t]] * R[C[i + 744*t]] : R[B[i + 744*t]] + R[C[i + 744*t]];
R[i + 1427*t] = Op[i + 745*t] ? R[B[i + 745*t]] * R[C[i + 745*t]] : R[B[i + 745*t]] + R[C[i + 745*t]];
R[i + 1428*t] = Op[i + 746*t] ? R[B[i + 746*t]] * R[C[i + 746*t]] : R[B[i + 746*t]] + R[C[i + 746*t]];
R[i + 1429*t] = Op[i + 747*t] ? R[B[i + 747*t]] * R[C[i + 747*t]] : R[B[i + 747*t]] + R[C[i + 747*t]];
R[i + 1430*t] = Op[i + 748*t] ? R[B[i + 748*t]] * R[C[i + 748*t]] : R[B[i + 748*t]] + R[C[i + 748*t]];
R[i + 1431*t] = Op[i + 749*t] ? R[B[i + 749*t]] * R[C[i + 749*t]] : R[B[i + 749*t]] + R[C[i + 749*t]];
R[i + 1432*t] = Op[i + 750*t] ? R[B[i + 750*t]] * R[C[i + 750*t]] : R[B[i + 750*t]] + R[C[i + 750*t]];
R[i + 1433*t] = Op[i + 751*t] ? R[B[i + 751*t]] * R[C[i + 751*t]] : R[B[i + 751*t]] + R[C[i + 751*t]];
R[i + 1434*t] = Op[i + 752*t] ? R[B[i + 752*t]] * R[C[i + 752*t]] : R[B[i + 752*t]] + R[C[i + 752*t]];
R[i + 1435*t] = Op[i + 753*t] ? R[B[i + 753*t]] * R[C[i + 753*t]] : R[B[i + 753*t]] + R[C[i + 753*t]];
R[i + 1436*t] = Op[i + 754*t] ? R[B[i + 754*t]] * R[C[i + 754*t]] : R[B[i + 754*t]] + R[C[i + 754*t]];
__syncthreads();
R[i + 1437*t] = Op[i + 755*t] ? R[B[i + 755*t]] * R[C[i + 755*t]] : R[B[i + 755*t]] + R[C[i + 755*t]];
R[i + 1438*t] = Op[i + 756*t] ? R[B[i + 756*t]] * R[C[i + 756*t]] : R[B[i + 756*t]] + R[C[i + 756*t]];
R[i + 1439*t] = Op[i + 757*t] ? R[B[i + 757*t]] * R[C[i + 757*t]] : R[B[i + 757*t]] + R[C[i + 757*t]];
R[i + 1440*t] = Op[i + 758*t] ? R[B[i + 758*t]] * R[C[i + 758*t]] : R[B[i + 758*t]] + R[C[i + 758*t]];
R[i + 1441*t] = Op[i + 759*t] ? R[B[i + 759*t]] * R[C[i + 759*t]] : R[B[i + 759*t]] + R[C[i + 759*t]];
R[i + 1442*t] = Op[i + 760*t] ? R[B[i + 760*t]] * R[C[i + 760*t]] : R[B[i + 760*t]] + R[C[i + 760*t]];
R[i + 1443*t] = Op[i + 761*t] ? R[B[i + 761*t]] * R[C[i + 761*t]] : R[B[i + 761*t]] + R[C[i + 761*t]];
R[i + 1444*t] = Op[i + 762*t] ? R[B[i + 762*t]] * R[C[i + 762*t]] : R[B[i + 762*t]] + R[C[i + 762*t]];
R[i + 1445*t] = Op[i + 763*t] ? R[B[i + 763*t]] * R[C[i + 763*t]] : R[B[i + 763*t]] + R[C[i + 763*t]];
R[i + 1446*t] = Op[i + 764*t] ? R[B[i + 764*t]] * R[C[i + 764*t]] : R[B[i + 764*t]] + R[C[i + 764*t]];
R[i + 1447*t] = Op[i + 765*t] ? R[B[i + 765*t]] * R[C[i + 765*t]] : R[B[i + 765*t]] + R[C[i + 765*t]];
R[i + 1448*t] = Op[i + 766*t] ? R[B[i + 766*t]] * R[C[i + 766*t]] : R[B[i + 766*t]] + R[C[i + 766*t]];
R[i + 1449*t] = Op[i + 767*t] ? R[B[i + 767*t]] * R[C[i + 767*t]] : R[B[i + 767*t]] + R[C[i + 767*t]];
R[i + 1450*t] = Op[i + 768*t] ? R[B[i + 768*t]] * R[C[i + 768*t]] : R[B[i + 768*t]] + R[C[i + 768*t]];
R[i + 1451*t] = Op[i + 769*t] ? R[B[i + 769*t]] * R[C[i + 769*t]] : R[B[i + 769*t]] + R[C[i + 769*t]];
R[i + 1452*t] = Op[i + 770*t] ? R[B[i + 770*t]] * R[C[i + 770*t]] : R[B[i + 770*t]] + R[C[i + 770*t]];
R[i + 1453*t] = Op[i + 771*t] ? R[B[i + 771*t]] * R[C[i + 771*t]] : R[B[i + 771*t]] + R[C[i + 771*t]];
R[i + 1454*t] = Op[i + 772*t] ? R[B[i + 772*t]] * R[C[i + 772*t]] : R[B[i + 772*t]] + R[C[i + 772*t]];
R[i + 1455*t] = Op[i + 773*t] ? R[B[i + 773*t]] * R[C[i + 773*t]] : R[B[i + 773*t]] + R[C[i + 773*t]];
R[i + 1456*t] = Op[i + 774*t] ? R[B[i + 774*t]] * R[C[i + 774*t]] : R[B[i + 774*t]] + R[C[i + 774*t]];
R[i + 1457*t] = Op[i + 775*t] ? R[B[i + 775*t]] * R[C[i + 775*t]] : R[B[i + 775*t]] + R[C[i + 775*t]];
R[i + 1458*t] = Op[i + 776*t] ? R[B[i + 776*t]] * R[C[i + 776*t]] : R[B[i + 776*t]] + R[C[i + 776*t]];
R[i + 1459*t] = Op[i + 777*t] ? R[B[i + 777*t]] * R[C[i + 777*t]] : R[B[i + 777*t]] + R[C[i + 777*t]];
R[i + 1460*t] = Op[i + 778*t] ? R[B[i + 778*t]] * R[C[i + 778*t]] : R[B[i + 778*t]] + R[C[i + 778*t]];
R[i + 1461*t] = Op[i + 779*t] ? R[B[i + 779*t]] * R[C[i + 779*t]] : R[B[i + 779*t]] + R[C[i + 779*t]];
R[i + 1462*t] = Op[i + 780*t] ? R[B[i + 780*t]] * R[C[i + 780*t]] : R[B[i + 780*t]] + R[C[i + 780*t]];
R[i + 1463*t] = Op[i + 781*t] ? R[B[i + 781*t]] * R[C[i + 781*t]] : R[B[i + 781*t]] + R[C[i + 781*t]];
R[i + 1464*t] = Op[i + 782*t] ? R[B[i + 782*t]] * R[C[i + 782*t]] : R[B[i + 782*t]] + R[C[i + 782*t]];
R[i + 1465*t] = Op[i + 783*t] ? R[B[i + 783*t]] * R[C[i + 783*t]] : R[B[i + 783*t]] + R[C[i + 783*t]];
R[i + 1466*t] = Op[i + 784*t] ? R[B[i + 784*t]] * R[C[i + 784*t]] : R[B[i + 784*t]] + R[C[i + 784*t]];
R[i + 1467*t] = Op[i + 785*t] ? R[B[i + 785*t]] * R[C[i + 785*t]] : R[B[i + 785*t]] + R[C[i + 785*t]];
R[i + 1468*t] = Op[i + 786*t] ? R[B[i + 786*t]] * R[C[i + 786*t]] : R[B[i + 786*t]] + R[C[i + 786*t]];
R[i + 1469*t] = Op[i + 787*t] ? R[B[i + 787*t]] * R[C[i + 787*t]] : R[B[i + 787*t]] + R[C[i + 787*t]];
R[i + 1470*t] = Op[i + 788*t] ? R[B[i + 788*t]] * R[C[i + 788*t]] : R[B[i + 788*t]] + R[C[i + 788*t]];
R[i + 1471*t] = Op[i + 789*t] ? R[B[i + 789*t]] * R[C[i + 789*t]] : R[B[i + 789*t]] + R[C[i + 789*t]];
R[i + 1472*t] = Op[i + 790*t] ? R[B[i + 790*t]] * R[C[i + 790*t]] : R[B[i + 790*t]] + R[C[i + 790*t]];
R[i + 1473*t] = Op[i + 791*t] ? R[B[i + 791*t]] * R[C[i + 791*t]] : R[B[i + 791*t]] + R[C[i + 791*t]];
R[i + 1474*t] = Op[i + 792*t] ? R[B[i + 792*t]] * R[C[i + 792*t]] : R[B[i + 792*t]] + R[C[i + 792*t]];
R[i + 1475*t] = Op[i + 793*t] ? R[B[i + 793*t]] * R[C[i + 793*t]] : R[B[i + 793*t]] + R[C[i + 793*t]];
R[i + 1476*t] = Op[i + 794*t] ? R[B[i + 794*t]] * R[C[i + 794*t]] : R[B[i + 794*t]] + R[C[i + 794*t]];
R[i + 1477*t] = Op[i + 795*t] ? R[B[i + 795*t]] * R[C[i + 795*t]] : R[B[i + 795*t]] + R[C[i + 795*t]];
R[i + 1478*t] = Op[i + 796*t] ? R[B[i + 796*t]] * R[C[i + 796*t]] : R[B[i + 796*t]] + R[C[i + 796*t]];
R[i + 1479*t] = Op[i + 797*t] ? R[B[i + 797*t]] * R[C[i + 797*t]] : R[B[i + 797*t]] + R[C[i + 797*t]];
R[i + 1480*t] = Op[i + 798*t] ? R[B[i + 798*t]] * R[C[i + 798*t]] : R[B[i + 798*t]] + R[C[i + 798*t]];
R[i + 1481*t] = Op[i + 799*t] ? R[B[i + 799*t]] * R[C[i + 799*t]] : R[B[i + 799*t]] + R[C[i + 799*t]];
R[i + 1482*t] = Op[i + 800*t] ? R[B[i + 800*t]] * R[C[i + 800*t]] : R[B[i + 800*t]] + R[C[i + 800*t]];
R[i + 1483*t] = Op[i + 801*t] ? R[B[i + 801*t]] * R[C[i + 801*t]] : R[B[i + 801*t]] + R[C[i + 801*t]];
R[i + 1484*t] = Op[i + 802*t] ? R[B[i + 802*t]] * R[C[i + 802*t]] : R[B[i + 802*t]] + R[C[i + 802*t]];
R[i + 1485*t] = Op[i + 803*t] ? R[B[i + 803*t]] * R[C[i + 803*t]] : R[B[i + 803*t]] + R[C[i + 803*t]];
R[i + 1486*t] = Op[i + 804*t] ? R[B[i + 804*t]] * R[C[i + 804*t]] : R[B[i + 804*t]] + R[C[i + 804*t]];
R[i + 1487*t] = Op[i + 805*t] ? R[B[i + 805*t]] * R[C[i + 805*t]] : R[B[i + 805*t]] + R[C[i + 805*t]];
R[i + 1488*t] = Op[i + 806*t] ? R[B[i + 806*t]] * R[C[i + 806*t]] : R[B[i + 806*t]] + R[C[i + 806*t]];
R[i + 1489*t] = Op[i + 807*t] ? R[B[i + 807*t]] * R[C[i + 807*t]] : R[B[i + 807*t]] + R[C[i + 807*t]];
R[i + 1490*t] = Op[i + 808*t] ? R[B[i + 808*t]] * R[C[i + 808*t]] : R[B[i + 808*t]] + R[C[i + 808*t]];
R[i + 1491*t] = Op[i + 809*t] ? R[B[i + 809*t]] * R[C[i + 809*t]] : R[B[i + 809*t]] + R[C[i + 809*t]];
R[i + 1492*t] = Op[i + 810*t] ? R[B[i + 810*t]] * R[C[i + 810*t]] : R[B[i + 810*t]] + R[C[i + 810*t]];
R[i + 1493*t] = Op[i + 811*t] ? R[B[i + 811*t]] * R[C[i + 811*t]] : R[B[i + 811*t]] + R[C[i + 811*t]];
R[i + 1494*t] = Op[i + 812*t] ? R[B[i + 812*t]] * R[C[i + 812*t]] : R[B[i + 812*t]] + R[C[i + 812*t]];
R[i + 1495*t] = Op[i + 813*t] ? R[B[i + 813*t]] * R[C[i + 813*t]] : R[B[i + 813*t]] + R[C[i + 813*t]];
R[i + 1496*t] = Op[i + 814*t] ? R[B[i + 814*t]] * R[C[i + 814*t]] : R[B[i + 814*t]] + R[C[i + 814*t]];
R[i + 1497*t] = Op[i + 815*t] ? R[B[i + 815*t]] * R[C[i + 815*t]] : R[B[i + 815*t]] + R[C[i + 815*t]];
R[i + 1498*t] = Op[i + 816*t] ? R[B[i + 816*t]] * R[C[i + 816*t]] : R[B[i + 816*t]] + R[C[i + 816*t]];
R[i + 1499*t] = Op[i + 817*t] ? R[B[i + 817*t]] * R[C[i + 817*t]] : R[B[i + 817*t]] + R[C[i + 817*t]];
R[i + 1500*t] = Op[i + 818*t] ? R[B[i + 818*t]] * R[C[i + 818*t]] : R[B[i + 818*t]] + R[C[i + 818*t]];
R[i + 1501*t] = Op[i + 819*t] ? R[B[i + 819*t]] * R[C[i + 819*t]] : R[B[i + 819*t]] + R[C[i + 819*t]];
R[i + 1502*t] = Op[i + 820*t] ? R[B[i + 820*t]] * R[C[i + 820*t]] : R[B[i + 820*t]] + R[C[i + 820*t]];
R[i + 1503*t] = Op[i + 821*t] ? R[B[i + 821*t]] * R[C[i + 821*t]] : R[B[i + 821*t]] + R[C[i + 821*t]];
R[i + 1504*t] = Op[i + 822*t] ? R[B[i + 822*t]] * R[C[i + 822*t]] : R[B[i + 822*t]] + R[C[i + 822*t]];
R[i + 1505*t] = Op[i + 823*t] ? R[B[i + 823*t]] * R[C[i + 823*t]] : R[B[i + 823*t]] + R[C[i + 823*t]];
R[i + 1506*t] = Op[i + 824*t] ? R[B[i + 824*t]] * R[C[i + 824*t]] : R[B[i + 824*t]] + R[C[i + 824*t]];
R[i + 1507*t] = Op[i + 825*t] ? R[B[i + 825*t]] * R[C[i + 825*t]] : R[B[i + 825*t]] + R[C[i + 825*t]];
R[i + 1508*t] = Op[i + 826*t] ? R[B[i + 826*t]] * R[C[i + 826*t]] : R[B[i + 826*t]] + R[C[i + 826*t]];
R[i + 1509*t] = Op[i + 827*t] ? R[B[i + 827*t]] * R[C[i + 827*t]] : R[B[i + 827*t]] + R[C[i + 827*t]];
R[i + 1510*t] = Op[i + 828*t] ? R[B[i + 828*t]] * R[C[i + 828*t]] : R[B[i + 828*t]] + R[C[i + 828*t]];
R[i + 1511*t] = Op[i + 829*t] ? R[B[i + 829*t]] * R[C[i + 829*t]] : R[B[i + 829*t]] + R[C[i + 829*t]];
R[i + 1512*t] = Op[i + 830*t] ? R[B[i + 830*t]] * R[C[i + 830*t]] : R[B[i + 830*t]] + R[C[i + 830*t]];
R[i + 1513*t] = Op[i + 831*t] ? R[B[i + 831*t]] * R[C[i + 831*t]] : R[B[i + 831*t]] + R[C[i + 831*t]];
R[i + 1514*t] = Op[i + 832*t] ? R[B[i + 832*t]] * R[C[i + 832*t]] : R[B[i + 832*t]] + R[C[i + 832*t]];
R[i + 1515*t] = Op[i + 833*t] ? R[B[i + 833*t]] * R[C[i + 833*t]] : R[B[i + 833*t]] + R[C[i + 833*t]];
R[i + 1516*t] = Op[i + 834*t] ? R[B[i + 834*t]] * R[C[i + 834*t]] : R[B[i + 834*t]] + R[C[i + 834*t]];
R[i + 1517*t] = Op[i + 835*t] ? R[B[i + 835*t]] * R[C[i + 835*t]] : R[B[i + 835*t]] + R[C[i + 835*t]];
R[i + 1518*t] = Op[i + 836*t] ? R[B[i + 836*t]] * R[C[i + 836*t]] : R[B[i + 836*t]] + R[C[i + 836*t]];
R[i + 1519*t] = Op[i + 837*t] ? R[B[i + 837*t]] * R[C[i + 837*t]] : R[B[i + 837*t]] + R[C[i + 837*t]];
R[i + 1520*t] = Op[i + 838*t] ? R[B[i + 838*t]] * R[C[i + 838*t]] : R[B[i + 838*t]] + R[C[i + 838*t]];
R[i + 1521*t] = Op[i + 839*t] ? R[B[i + 839*t]] * R[C[i + 839*t]] : R[B[i + 839*t]] + R[C[i + 839*t]];
R[i + 1522*t] = Op[i + 840*t] ? R[B[i + 840*t]] * R[C[i + 840*t]] : R[B[i + 840*t]] + R[C[i + 840*t]];
R[i + 1523*t] = Op[i + 841*t] ? R[B[i + 841*t]] * R[C[i + 841*t]] : R[B[i + 841*t]] + R[C[i + 841*t]];
R[i + 1524*t] = Op[i + 842*t] ? R[B[i + 842*t]] * R[C[i + 842*t]] : R[B[i + 842*t]] + R[C[i + 842*t]];
R[i + 1525*t] = Op[i + 843*t] ? R[B[i + 843*t]] * R[C[i + 843*t]] : R[B[i + 843*t]] + R[C[i + 843*t]];
R[i + 1526*t] = Op[i + 844*t] ? R[B[i + 844*t]] * R[C[i + 844*t]] : R[B[i + 844*t]] + R[C[i + 844*t]];
__syncthreads();
R[i + 1527*t] = Op[i + 845*t] ? R[B[i + 845*t]] * R[C[i + 845*t]] : R[B[i + 845*t]] + R[C[i + 845*t]];
R[i + 1528*t] = Op[i + 846*t] ? R[B[i + 846*t]] * R[C[i + 846*t]] : R[B[i + 846*t]] + R[C[i + 846*t]];
R[i + 1529*t] = Op[i + 847*t] ? R[B[i + 847*t]] * R[C[i + 847*t]] : R[B[i + 847*t]] + R[C[i + 847*t]];
R[i + 1530*t] = Op[i + 848*t] ? R[B[i + 848*t]] * R[C[i + 848*t]] : R[B[i + 848*t]] + R[C[i + 848*t]];
R[i + 1531*t] = Op[i + 849*t] ? R[B[i + 849*t]] * R[C[i + 849*t]] : R[B[i + 849*t]] + R[C[i + 849*t]];
R[i + 1532*t] = Op[i + 850*t] ? R[B[i + 850*t]] * R[C[i + 850*t]] : R[B[i + 850*t]] + R[C[i + 850*t]];
R[i + 1533*t] = Op[i + 851*t] ? R[B[i + 851*t]] * R[C[i + 851*t]] : R[B[i + 851*t]] + R[C[i + 851*t]];
R[i + 1534*t] = Op[i + 852*t] ? R[B[i + 852*t]] * R[C[i + 852*t]] : R[B[i + 852*t]] + R[C[i + 852*t]];
R[i + 1535*t] = Op[i + 853*t] ? R[B[i + 853*t]] * R[C[i + 853*t]] : R[B[i + 853*t]] + R[C[i + 853*t]];
R[i + 1536*t] = Op[i + 854*t] ? R[B[i + 854*t]] * R[C[i + 854*t]] : R[B[i + 854*t]] + R[C[i + 854*t]];
R[i + 1537*t] = Op[i + 855*t] ? R[B[i + 855*t]] * R[C[i + 855*t]] : R[B[i + 855*t]] + R[C[i + 855*t]];
R[i + 1538*t] = Op[i + 856*t] ? R[B[i + 856*t]] * R[C[i + 856*t]] : R[B[i + 856*t]] + R[C[i + 856*t]];
R[i + 1539*t] = Op[i + 857*t] ? R[B[i + 857*t]] * R[C[i + 857*t]] : R[B[i + 857*t]] + R[C[i + 857*t]];
R[i + 1540*t] = Op[i + 858*t] ? R[B[i + 858*t]] * R[C[i + 858*t]] : R[B[i + 858*t]] + R[C[i + 858*t]];
R[i + 1541*t] = Op[i + 859*t] ? R[B[i + 859*t]] * R[C[i + 859*t]] : R[B[i + 859*t]] + R[C[i + 859*t]];
R[i + 1542*t] = Op[i + 860*t] ? R[B[i + 860*t]] * R[C[i + 860*t]] : R[B[i + 860*t]] + R[C[i + 860*t]];
R[i + 1543*t] = Op[i + 861*t] ? R[B[i + 861*t]] * R[C[i + 861*t]] : R[B[i + 861*t]] + R[C[i + 861*t]];
R[i + 1544*t] = Op[i + 862*t] ? R[B[i + 862*t]] * R[C[i + 862*t]] : R[B[i + 862*t]] + R[C[i + 862*t]];
R[i + 1545*t] = Op[i + 863*t] ? R[B[i + 863*t]] * R[C[i + 863*t]] : R[B[i + 863*t]] + R[C[i + 863*t]];
R[i + 1546*t] = Op[i + 864*t] ? R[B[i + 864*t]] * R[C[i + 864*t]] : R[B[i + 864*t]] + R[C[i + 864*t]];
R[i + 1547*t] = Op[i + 865*t] ? R[B[i + 865*t]] * R[C[i + 865*t]] : R[B[i + 865*t]] + R[C[i + 865*t]];
R[i + 1548*t] = Op[i + 866*t] ? R[B[i + 866*t]] * R[C[i + 866*t]] : R[B[i + 866*t]] + R[C[i + 866*t]];
R[i + 1549*t] = Op[i + 867*t] ? R[B[i + 867*t]] * R[C[i + 867*t]] : R[B[i + 867*t]] + R[C[i + 867*t]];
R[i + 1550*t] = Op[i + 868*t] ? R[B[i + 868*t]] * R[C[i + 868*t]] : R[B[i + 868*t]] + R[C[i + 868*t]];
R[i + 1551*t] = Op[i + 869*t] ? R[B[i + 869*t]] * R[C[i + 869*t]] : R[B[i + 869*t]] + R[C[i + 869*t]];
R[i + 1552*t] = Op[i + 870*t] ? R[B[i + 870*t]] * R[C[i + 870*t]] : R[B[i + 870*t]] + R[C[i + 870*t]];
R[i + 1553*t] = Op[i + 871*t] ? R[B[i + 871*t]] * R[C[i + 871*t]] : R[B[i + 871*t]] + R[C[i + 871*t]];
R[i + 1554*t] = Op[i + 872*t] ? R[B[i + 872*t]] * R[C[i + 872*t]] : R[B[i + 872*t]] + R[C[i + 872*t]];
R[i + 1555*t] = Op[i + 873*t] ? R[B[i + 873*t]] * R[C[i + 873*t]] : R[B[i + 873*t]] + R[C[i + 873*t]];
R[i + 1556*t] = Op[i + 874*t] ? R[B[i + 874*t]] * R[C[i + 874*t]] : R[B[i + 874*t]] + R[C[i + 874*t]];
R[i + 1557*t] = Op[i + 875*t] ? R[B[i + 875*t]] * R[C[i + 875*t]] : R[B[i + 875*t]] + R[C[i + 875*t]];
R[i + 1558*t] = Op[i + 876*t] ? R[B[i + 876*t]] * R[C[i + 876*t]] : R[B[i + 876*t]] + R[C[i + 876*t]];
R[i + 1559*t] = Op[i + 877*t] ? R[B[i + 877*t]] * R[C[i + 877*t]] : R[B[i + 877*t]] + R[C[i + 877*t]];
R[i + 1560*t] = Op[i + 878*t] ? R[B[i + 878*t]] * R[C[i + 878*t]] : R[B[i + 878*t]] + R[C[i + 878*t]];
R[i + 1561*t] = Op[i + 879*t] ? R[B[i + 879*t]] * R[C[i + 879*t]] : R[B[i + 879*t]] + R[C[i + 879*t]];
R[i + 1562*t] = Op[i + 880*t] ? R[B[i + 880*t]] * R[C[i + 880*t]] : R[B[i + 880*t]] + R[C[i + 880*t]];
R[i + 1563*t] = Op[i + 881*t] ? R[B[i + 881*t]] * R[C[i + 881*t]] : R[B[i + 881*t]] + R[C[i + 881*t]];
R[i + 1564*t] = Op[i + 882*t] ? R[B[i + 882*t]] * R[C[i + 882*t]] : R[B[i + 882*t]] + R[C[i + 882*t]];
R[i + 1565*t] = Op[i + 883*t] ? R[B[i + 883*t]] * R[C[i + 883*t]] : R[B[i + 883*t]] + R[C[i + 883*t]];
R[i + 1566*t] = Op[i + 884*t] ? R[B[i + 884*t]] * R[C[i + 884*t]] : R[B[i + 884*t]] + R[C[i + 884*t]];
__syncthreads();
R[i + 1567*t] = Op[i + 885*t] ? R[B[i + 885*t]] * R[C[i + 885*t]] : R[B[i + 885*t]] + R[C[i + 885*t]];
R[i + 1568*t] = Op[i + 886*t] ? R[B[i + 886*t]] * R[C[i + 886*t]] : R[B[i + 886*t]] + R[C[i + 886*t]];
R[i + 1569*t] = Op[i + 887*t] ? R[B[i + 887*t]] * R[C[i + 887*t]] : R[B[i + 887*t]] + R[C[i + 887*t]];
R[i + 1570*t] = Op[i + 888*t] ? R[B[i + 888*t]] * R[C[i + 888*t]] : R[B[i + 888*t]] + R[C[i + 888*t]];
R[i + 1571*t] = Op[i + 889*t] ? R[B[i + 889*t]] * R[C[i + 889*t]] : R[B[i + 889*t]] + R[C[i + 889*t]];
R[i + 1572*t] = Op[i + 890*t] ? R[B[i + 890*t]] * R[C[i + 890*t]] : R[B[i + 890*t]] + R[C[i + 890*t]];
R[i + 1573*t] = Op[i + 891*t] ? R[B[i + 891*t]] * R[C[i + 891*t]] : R[B[i + 891*t]] + R[C[i + 891*t]];
R[i + 1574*t] = Op[i + 892*t] ? R[B[i + 892*t]] * R[C[i + 892*t]] : R[B[i + 892*t]] + R[C[i + 892*t]];
R[i + 1575*t] = Op[i + 893*t] ? R[B[i + 893*t]] * R[C[i + 893*t]] : R[B[i + 893*t]] + R[C[i + 893*t]];
R[i + 1576*t] = Op[i + 894*t] ? R[B[i + 894*t]] * R[C[i + 894*t]] : R[B[i + 894*t]] + R[C[i + 894*t]];
R[i + 1577*t] = Op[i + 895*t] ? R[B[i + 895*t]] * R[C[i + 895*t]] : R[B[i + 895*t]] + R[C[i + 895*t]];
R[i + 1578*t] = Op[i + 896*t] ? R[B[i + 896*t]] * R[C[i + 896*t]] : R[B[i + 896*t]] + R[C[i + 896*t]];
R[i + 1579*t] = Op[i + 897*t] ? R[B[i + 897*t]] * R[C[i + 897*t]] : R[B[i + 897*t]] + R[C[i + 897*t]];
R[i + 1580*t] = Op[i + 898*t] ? R[B[i + 898*t]] * R[C[i + 898*t]] : R[B[i + 898*t]] + R[C[i + 898*t]];
R[i + 1581*t] = Op[i + 899*t] ? R[B[i + 899*t]] * R[C[i + 899*t]] : R[B[i + 899*t]] + R[C[i + 899*t]];
R[i + 1582*t] = Op[i + 900*t] ? R[B[i + 900*t]] * R[C[i + 900*t]] : R[B[i + 900*t]] + R[C[i + 900*t]];
R[i + 1583*t] = Op[i + 901*t] ? R[B[i + 901*t]] * R[C[i + 901*t]] : R[B[i + 901*t]] + R[C[i + 901*t]];
R[i + 1584*t] = Op[i + 902*t] ? R[B[i + 902*t]] * R[C[i + 902*t]] : R[B[i + 902*t]] + R[C[i + 902*t]];
R[i + 1585*t] = Op[i + 903*t] ? R[B[i + 903*t]] * R[C[i + 903*t]] : R[B[i + 903*t]] + R[C[i + 903*t]];
R[i + 1586*t] = Op[i + 904*t] ? R[B[i + 904*t]] * R[C[i + 904*t]] : R[B[i + 904*t]] + R[C[i + 904*t]];
R[i + 1587*t] = Op[i + 905*t] ? R[B[i + 905*t]] * R[C[i + 905*t]] : R[B[i + 905*t]] + R[C[i + 905*t]];
R[i + 1588*t] = Op[i + 906*t] ? R[B[i + 906*t]] * R[C[i + 906*t]] : R[B[i + 906*t]] + R[C[i + 906*t]];
R[i + 1589*t] = Op[i + 907*t] ? R[B[i + 907*t]] * R[C[i + 907*t]] : R[B[i + 907*t]] + R[C[i + 907*t]];
R[i + 1590*t] = Op[i + 908*t] ? R[B[i + 908*t]] * R[C[i + 908*t]] : R[B[i + 908*t]] + R[C[i + 908*t]];
R[i + 1591*t] = Op[i + 909*t] ? R[B[i + 909*t]] * R[C[i + 909*t]] : R[B[i + 909*t]] + R[C[i + 909*t]];
R[i + 1592*t] = Op[i + 910*t] ? R[B[i + 910*t]] * R[C[i + 910*t]] : R[B[i + 910*t]] + R[C[i + 910*t]];
R[i + 1593*t] = Op[i + 911*t] ? R[B[i + 911*t]] * R[C[i + 911*t]] : R[B[i + 911*t]] + R[C[i + 911*t]];
R[i + 1594*t] = Op[i + 912*t] ? R[B[i + 912*t]] * R[C[i + 912*t]] : R[B[i + 912*t]] + R[C[i + 912*t]];
R[i + 1595*t] = Op[i + 913*t] ? R[B[i + 913*t]] * R[C[i + 913*t]] : R[B[i + 913*t]] + R[C[i + 913*t]];
R[i + 1596*t] = Op[i + 914*t] ? R[B[i + 914*t]] * R[C[i + 914*t]] : R[B[i + 914*t]] + R[C[i + 914*t]];
R[i + 1597*t] = Op[i + 915*t] ? R[B[i + 915*t]] * R[C[i + 915*t]] : R[B[i + 915*t]] + R[C[i + 915*t]];
R[i + 1598*t] = Op[i + 916*t] ? R[B[i + 916*t]] * R[C[i + 916*t]] : R[B[i + 916*t]] + R[C[i + 916*t]];
R[i + 1599*t] = Op[i + 917*t] ? R[B[i + 917*t]] * R[C[i + 917*t]] : R[B[i + 917*t]] + R[C[i + 917*t]];
__syncthreads();
R[i + 1600*t] = Op[i + 918*t] ? R[B[i + 918*t]] * R[C[i + 918*t]] : R[B[i + 918*t]] + R[C[i + 918*t]];
R[i + 1601*t] = Op[i + 919*t] ? R[B[i + 919*t]] * R[C[i + 919*t]] : R[B[i + 919*t]] + R[C[i + 919*t]];
R[i + 1602*t] = Op[i + 920*t] ? R[B[i + 920*t]] * R[C[i + 920*t]] : R[B[i + 920*t]] + R[C[i + 920*t]];
R[i + 1603*t] = Op[i + 921*t] ? R[B[i + 921*t]] * R[C[i + 921*t]] : R[B[i + 921*t]] + R[C[i + 921*t]];
R[i + 1604*t] = Op[i + 922*t] ? R[B[i + 922*t]] * R[C[i + 922*t]] : R[B[i + 922*t]] + R[C[i + 922*t]];
R[i + 1605*t] = Op[i + 923*t] ? R[B[i + 923*t]] * R[C[i + 923*t]] : R[B[i + 923*t]] + R[C[i + 923*t]];
R[i + 1606*t] = Op[i + 924*t] ? R[B[i + 924*t]] * R[C[i + 924*t]] : R[B[i + 924*t]] + R[C[i + 924*t]];
R[i + 1607*t] = Op[i + 925*t] ? R[B[i + 925*t]] * R[C[i + 925*t]] : R[B[i + 925*t]] + R[C[i + 925*t]];
R[i + 1608*t] = Op[i + 926*t] ? R[B[i + 926*t]] * R[C[i + 926*t]] : R[B[i + 926*t]] + R[C[i + 926*t]];
R[i + 1609*t] = Op[i + 927*t] ? R[B[i + 927*t]] * R[C[i + 927*t]] : R[B[i + 927*t]] + R[C[i + 927*t]];
R[i + 1610*t] = Op[i + 928*t] ? R[B[i + 928*t]] * R[C[i + 928*t]] : R[B[i + 928*t]] + R[C[i + 928*t]];
R[i + 1611*t] = Op[i + 929*t] ? R[B[i + 929*t]] * R[C[i + 929*t]] : R[B[i + 929*t]] + R[C[i + 929*t]];
R[i + 1612*t] = Op[i + 930*t] ? R[B[i + 930*t]] * R[C[i + 930*t]] : R[B[i + 930*t]] + R[C[i + 930*t]];
R[i + 1613*t] = Op[i + 931*t] ? R[B[i + 931*t]] * R[C[i + 931*t]] : R[B[i + 931*t]] + R[C[i + 931*t]];
R[i + 1614*t] = Op[i + 932*t] ? R[B[i + 932*t]] * R[C[i + 932*t]] : R[B[i + 932*t]] + R[C[i + 932*t]];
R[i + 1615*t] = Op[i + 933*t] ? R[B[i + 933*t]] * R[C[i + 933*t]] : R[B[i + 933*t]] + R[C[i + 933*t]];
R[i + 1616*t] = Op[i + 934*t] ? R[B[i + 934*t]] * R[C[i + 934*t]] : R[B[i + 934*t]] + R[C[i + 934*t]];
R[i + 1617*t] = Op[i + 935*t] ? R[B[i + 935*t]] * R[C[i + 935*t]] : R[B[i + 935*t]] + R[C[i + 935*t]];
R[i + 1618*t] = Op[i + 936*t] ? R[B[i + 936*t]] * R[C[i + 936*t]] : R[B[i + 936*t]] + R[C[i + 936*t]];
R[i + 1619*t] = Op[i + 937*t] ? R[B[i + 937*t]] * R[C[i + 937*t]] : R[B[i + 937*t]] + R[C[i + 937*t]];
R[i + 1620*t] = Op[i + 938*t] ? R[B[i + 938*t]] * R[C[i + 938*t]] : R[B[i + 938*t]] + R[C[i + 938*t]];
R[i + 1621*t] = Op[i + 939*t] ? R[B[i + 939*t]] * R[C[i + 939*t]] : R[B[i + 939*t]] + R[C[i + 939*t]];
R[i + 1622*t] = Op[i + 940*t] ? R[B[i + 940*t]] * R[C[i + 940*t]] : R[B[i + 940*t]] + R[C[i + 940*t]];
R[i + 1623*t] = Op[i + 941*t] ? R[B[i + 941*t]] * R[C[i + 941*t]] : R[B[i + 941*t]] + R[C[i + 941*t]];
R[i + 1624*t] = Op[i + 942*t] ? R[B[i + 942*t]] * R[C[i + 942*t]] : R[B[i + 942*t]] + R[C[i + 942*t]];
R[i + 1625*t] = Op[i + 943*t] ? R[B[i + 943*t]] * R[C[i + 943*t]] : R[B[i + 943*t]] + R[C[i + 943*t]];
R[i + 1626*t] = Op[i + 944*t] ? R[B[i + 944*t]] * R[C[i + 944*t]] : R[B[i + 944*t]] + R[C[i + 944*t]];
__syncthreads();
R[i + 1627*t] = Op[i + 945*t] ? R[B[i + 945*t]] * R[C[i + 945*t]] : R[B[i + 945*t]] + R[C[i + 945*t]];
R[i + 1628*t] = Op[i + 946*t] ? R[B[i + 946*t]] * R[C[i + 946*t]] : R[B[i + 946*t]] + R[C[i + 946*t]];
R[i + 1629*t] = Op[i + 947*t] ? R[B[i + 947*t]] * R[C[i + 947*t]] : R[B[i + 947*t]] + R[C[i + 947*t]];
R[i + 1630*t] = Op[i + 948*t] ? R[B[i + 948*t]] * R[C[i + 948*t]] : R[B[i + 948*t]] + R[C[i + 948*t]];
R[i + 1631*t] = Op[i + 949*t] ? R[B[i + 949*t]] * R[C[i + 949*t]] : R[B[i + 949*t]] + R[C[i + 949*t]];
R[i + 1632*t] = Op[i + 950*t] ? R[B[i + 950*t]] * R[C[i + 950*t]] : R[B[i + 950*t]] + R[C[i + 950*t]];
R[i + 1633*t] = Op[i + 951*t] ? R[B[i + 951*t]] * R[C[i + 951*t]] : R[B[i + 951*t]] + R[C[i + 951*t]];
R[i + 1634*t] = Op[i + 952*t] ? R[B[i + 952*t]] * R[C[i + 952*t]] : R[B[i + 952*t]] + R[C[i + 952*t]];
R[i + 1635*t] = Op[i + 953*t] ? R[B[i + 953*t]] * R[C[i + 953*t]] : R[B[i + 953*t]] + R[C[i + 953*t]];
R[i + 1636*t] = Op[i + 954*t] ? R[B[i + 954*t]] * R[C[i + 954*t]] : R[B[i + 954*t]] + R[C[i + 954*t]];
R[i + 1637*t] = Op[i + 955*t] ? R[B[i + 955*t]] * R[C[i + 955*t]] : R[B[i + 955*t]] + R[C[i + 955*t]];
R[i + 1638*t] = Op[i + 956*t] ? R[B[i + 956*t]] * R[C[i + 956*t]] : R[B[i + 956*t]] + R[C[i + 956*t]];
R[i + 1639*t] = Op[i + 957*t] ? R[B[i + 957*t]] * R[C[i + 957*t]] : R[B[i + 957*t]] + R[C[i + 957*t]];
R[i + 1640*t] = Op[i + 958*t] ? R[B[i + 958*t]] * R[C[i + 958*t]] : R[B[i + 958*t]] + R[C[i + 958*t]];
R[i + 1641*t] = Op[i + 959*t] ? R[B[i + 959*t]] * R[C[i + 959*t]] : R[B[i + 959*t]] + R[C[i + 959*t]];
R[i + 1642*t] = Op[i + 960*t] ? R[B[i + 960*t]] * R[C[i + 960*t]] : R[B[i + 960*t]] + R[C[i + 960*t]];
R[i + 1643*t] = Op[i + 961*t] ? R[B[i + 961*t]] * R[C[i + 961*t]] : R[B[i + 961*t]] + R[C[i + 961*t]];
R[i + 1644*t] = Op[i + 962*t] ? R[B[i + 962*t]] * R[C[i + 962*t]] : R[B[i + 962*t]] + R[C[i + 962*t]];
R[i + 1645*t] = Op[i + 963*t] ? R[B[i + 963*t]] * R[C[i + 963*t]] : R[B[i + 963*t]] + R[C[i + 963*t]];
R[i + 1646*t] = Op[i + 964*t] ? R[B[i + 964*t]] * R[C[i + 964*t]] : R[B[i + 964*t]] + R[C[i + 964*t]];
R[i + 1647*t] = Op[i + 965*t] ? R[B[i + 965*t]] * R[C[i + 965*t]] : R[B[i + 965*t]] + R[C[i + 965*t]];
R[i + 1648*t] = Op[i + 966*t] ? R[B[i + 966*t]] * R[C[i + 966*t]] : R[B[i + 966*t]] + R[C[i + 966*t]];
__syncthreads();
R[i + 1649*t] = Op[i + 967*t] ? R[B[i + 967*t]] * R[C[i + 967*t]] : R[B[i + 967*t]] + R[C[i + 967*t]];
R[i + 1650*t] = Op[i + 968*t] ? R[B[i + 968*t]] * R[C[i + 968*t]] : R[B[i + 968*t]] + R[C[i + 968*t]];
R[i + 1651*t] = Op[i + 969*t] ? R[B[i + 969*t]] * R[C[i + 969*t]] : R[B[i + 969*t]] + R[C[i + 969*t]];
R[i + 1652*t] = Op[i + 970*t] ? R[B[i + 970*t]] * R[C[i + 970*t]] : R[B[i + 970*t]] + R[C[i + 970*t]];
R[i + 1653*t] = Op[i + 971*t] ? R[B[i + 971*t]] * R[C[i + 971*t]] : R[B[i + 971*t]] + R[C[i + 971*t]];
R[i + 1654*t] = Op[i + 972*t] ? R[B[i + 972*t]] * R[C[i + 972*t]] : R[B[i + 972*t]] + R[C[i + 972*t]];
R[i + 1655*t] = Op[i + 973*t] ? R[B[i + 973*t]] * R[C[i + 973*t]] : R[B[i + 973*t]] + R[C[i + 973*t]];
R[i + 1656*t] = Op[i + 974*t] ? R[B[i + 974*t]] * R[C[i + 974*t]] : R[B[i + 974*t]] + R[C[i + 974*t]];
R[i + 1657*t] = Op[i + 975*t] ? R[B[i + 975*t]] * R[C[i + 975*t]] : R[B[i + 975*t]] + R[C[i + 975*t]];
R[i + 1658*t] = Op[i + 976*t] ? R[B[i + 976*t]] * R[C[i + 976*t]] : R[B[i + 976*t]] + R[C[i + 976*t]];
R[i + 1659*t] = Op[i + 977*t] ? R[B[i + 977*t]] * R[C[i + 977*t]] : R[B[i + 977*t]] + R[C[i + 977*t]];
R[i + 1660*t] = Op[i + 978*t] ? R[B[i + 978*t]] * R[C[i + 978*t]] : R[B[i + 978*t]] + R[C[i + 978*t]];
R[i + 1661*t] = Op[i + 979*t] ? R[B[i + 979*t]] * R[C[i + 979*t]] : R[B[i + 979*t]] + R[C[i + 979*t]];
R[i + 1662*t] = Op[i + 980*t] ? R[B[i + 980*t]] * R[C[i + 980*t]] : R[B[i + 980*t]] + R[C[i + 980*t]];
R[i + 1663*t] = Op[i + 981*t] ? R[B[i + 981*t]] * R[C[i + 981*t]] : R[B[i + 981*t]] + R[C[i + 981*t]];
R[i + 1664*t] = Op[i + 982*t] ? R[B[i + 982*t]] * R[C[i + 982*t]] : R[B[i + 982*t]] + R[C[i + 982*t]];
R[i + 1665*t] = Op[i + 983*t] ? R[B[i + 983*t]] * R[C[i + 983*t]] : R[B[i + 983*t]] + R[C[i + 983*t]];
R[i + 1666*t] = Op[i + 984*t] ? R[B[i + 984*t]] * R[C[i + 984*t]] : R[B[i + 984*t]] + R[C[i + 984*t]];
R[i + 1667*t] = Op[i + 985*t] ? R[B[i + 985*t]] * R[C[i + 985*t]] : R[B[i + 985*t]] + R[C[i + 985*t]];
R[i + 1668*t] = Op[i + 986*t] ? R[B[i + 986*t]] * R[C[i + 986*t]] : R[B[i + 986*t]] + R[C[i + 986*t]];
R[i + 1669*t] = Op[i + 987*t] ? R[B[i + 987*t]] * R[C[i + 987*t]] : R[B[i + 987*t]] + R[C[i + 987*t]];
R[i + 1670*t] = Op[i + 988*t] ? R[B[i + 988*t]] * R[C[i + 988*t]] : R[B[i + 988*t]] + R[C[i + 988*t]];
R[i + 1671*t] = Op[i + 989*t] ? R[B[i + 989*t]] * R[C[i + 989*t]] : R[B[i + 989*t]] + R[C[i + 989*t]];
R[i + 1672*t] = Op[i + 990*t] ? R[B[i + 990*t]] * R[C[i + 990*t]] : R[B[i + 990*t]] + R[C[i + 990*t]];
R[i + 1673*t] = Op[i + 991*t] ? R[B[i + 991*t]] * R[C[i + 991*t]] : R[B[i + 991*t]] + R[C[i + 991*t]];
R[i + 1674*t] = Op[i + 992*t] ? R[B[i + 992*t]] * R[C[i + 992*t]] : R[B[i + 992*t]] + R[C[i + 992*t]];
__syncthreads();
R[i + 1675*t] = Op[i + 993*t] ? R[B[i + 993*t]] * R[C[i + 993*t]] : R[B[i + 993*t]] + R[C[i + 993*t]];
R[i + 1676*t] = Op[i + 994*t] ? R[B[i + 994*t]] * R[C[i + 994*t]] : R[B[i + 994*t]] + R[C[i + 994*t]];
R[i + 1677*t] = Op[i + 995*t] ? R[B[i + 995*t]] * R[C[i + 995*t]] : R[B[i + 995*t]] + R[C[i + 995*t]];
R[i + 1678*t] = Op[i + 996*t] ? R[B[i + 996*t]] * R[C[i + 996*t]] : R[B[i + 996*t]] + R[C[i + 996*t]];
R[i + 1679*t] = Op[i + 997*t] ? R[B[i + 997*t]] * R[C[i + 997*t]] : R[B[i + 997*t]] + R[C[i + 997*t]];
R[i + 1680*t] = Op[i + 998*t] ? R[B[i + 998*t]] * R[C[i + 998*t]] : R[B[i + 998*t]] + R[C[i + 998*t]];
R[i + 1681*t] = Op[i + 999*t] ? R[B[i + 999*t]] * R[C[i + 999*t]] : R[B[i + 999*t]] + R[C[i + 999*t]];
R[i + 1682*t] = Op[i + 1000*t] ? R[B[i + 1000*t]] * R[C[i + 1000*t]] : R[B[i + 1000*t]] + R[C[i + 1000*t]];
R[i + 1683*t] = Op[i + 1001*t] ? R[B[i + 1001*t]] * R[C[i + 1001*t]] : R[B[i + 1001*t]] + R[C[i + 1001*t]];
R[i + 1684*t] = Op[i + 1002*t] ? R[B[i + 1002*t]] * R[C[i + 1002*t]] : R[B[i + 1002*t]] + R[C[i + 1002*t]];
R[i + 1685*t] = Op[i + 1003*t] ? R[B[i + 1003*t]] * R[C[i + 1003*t]] : R[B[i + 1003*t]] + R[C[i + 1003*t]];
R[i + 1686*t] = Op[i + 1004*t] ? R[B[i + 1004*t]] * R[C[i + 1004*t]] : R[B[i + 1004*t]] + R[C[i + 1004*t]];
R[i + 1687*t] = Op[i + 1005*t] ? R[B[i + 1005*t]] * R[C[i + 1005*t]] : R[B[i + 1005*t]] + R[C[i + 1005*t]];
R[i + 1688*t] = Op[i + 1006*t] ? R[B[i + 1006*t]] * R[C[i + 1006*t]] : R[B[i + 1006*t]] + R[C[i + 1006*t]];
R[i + 1689*t] = Op[i + 1007*t] ? R[B[i + 1007*t]] * R[C[i + 1007*t]] : R[B[i + 1007*t]] + R[C[i + 1007*t]];
R[i + 1690*t] = Op[i + 1008*t] ? R[B[i + 1008*t]] * R[C[i + 1008*t]] : R[B[i + 1008*t]] + R[C[i + 1008*t]];
R[i + 1691*t] = Op[i + 1009*t] ? R[B[i + 1009*t]] * R[C[i + 1009*t]] : R[B[i + 1009*t]] + R[C[i + 1009*t]];
R[i + 1692*t] = Op[i + 1010*t] ? R[B[i + 1010*t]] * R[C[i + 1010*t]] : R[B[i + 1010*t]] + R[C[i + 1010*t]];
R[i + 1693*t] = Op[i + 1011*t] ? R[B[i + 1011*t]] * R[C[i + 1011*t]] : R[B[i + 1011*t]] + R[C[i + 1011*t]];
R[i + 1694*t] = Op[i + 1012*t] ? R[B[i + 1012*t]] * R[C[i + 1012*t]] : R[B[i + 1012*t]] + R[C[i + 1012*t]];
R[i + 1695*t] = Op[i + 1013*t] ? R[B[i + 1013*t]] * R[C[i + 1013*t]] : R[B[i + 1013*t]] + R[C[i + 1013*t]];
__syncthreads();
R[i + 1696*t] = Op[i + 1014*t] ? R[B[i + 1014*t]] * R[C[i + 1014*t]] : R[B[i + 1014*t]] + R[C[i + 1014*t]];
R[i + 1697*t] = Op[i + 1015*t] ? R[B[i + 1015*t]] * R[C[i + 1015*t]] : R[B[i + 1015*t]] + R[C[i + 1015*t]];
R[i + 1698*t] = Op[i + 1016*t] ? R[B[i + 1016*t]] * R[C[i + 1016*t]] : R[B[i + 1016*t]] + R[C[i + 1016*t]];
R[i + 1699*t] = Op[i + 1017*t] ? R[B[i + 1017*t]] * R[C[i + 1017*t]] : R[B[i + 1017*t]] + R[C[i + 1017*t]];
R[i + 1700*t] = Op[i + 1018*t] ? R[B[i + 1018*t]] * R[C[i + 1018*t]] : R[B[i + 1018*t]] + R[C[i + 1018*t]];
R[i + 1701*t] = Op[i + 1019*t] ? R[B[i + 1019*t]] * R[C[i + 1019*t]] : R[B[i + 1019*t]] + R[C[i + 1019*t]];
R[i + 1702*t] = Op[i + 1020*t] ? R[B[i + 1020*t]] * R[C[i + 1020*t]] : R[B[i + 1020*t]] + R[C[i + 1020*t]];
R[i + 1703*t] = Op[i + 1021*t] ? R[B[i + 1021*t]] * R[C[i + 1021*t]] : R[B[i + 1021*t]] + R[C[i + 1021*t]];
R[i + 1704*t] = Op[i + 1022*t] ? R[B[i + 1022*t]] * R[C[i + 1022*t]] : R[B[i + 1022*t]] + R[C[i + 1022*t]];
R[i + 1705*t] = Op[i + 1023*t] ? R[B[i + 1023*t]] * R[C[i + 1023*t]] : R[B[i + 1023*t]] + R[C[i + 1023*t]];
R[i + 1706*t] = Op[i + 1024*t] ? R[B[i + 1024*t]] * R[C[i + 1024*t]] : R[B[i + 1024*t]] + R[C[i + 1024*t]];
R[i + 1707*t] = Op[i + 1025*t] ? R[B[i + 1025*t]] * R[C[i + 1025*t]] : R[B[i + 1025*t]] + R[C[i + 1025*t]];
R[i + 1708*t] = Op[i + 1026*t] ? R[B[i + 1026*t]] * R[C[i + 1026*t]] : R[B[i + 1026*t]] + R[C[i + 1026*t]];
__syncthreads();
R[i + 1709*t] = Op[i + 1027*t] ? R[B[i + 1027*t]] * R[C[i + 1027*t]] : R[B[i + 1027*t]] + R[C[i + 1027*t]];
R[i + 1710*t] = Op[i + 1028*t] ? R[B[i + 1028*t]] * R[C[i + 1028*t]] : R[B[i + 1028*t]] + R[C[i + 1028*t]];
R[i + 1711*t] = Op[i + 1029*t] ? R[B[i + 1029*t]] * R[C[i + 1029*t]] : R[B[i + 1029*t]] + R[C[i + 1029*t]];
R[i + 1712*t] = Op[i + 1030*t] ? R[B[i + 1030*t]] * R[C[i + 1030*t]] : R[B[i + 1030*t]] + R[C[i + 1030*t]];
R[i + 1713*t] = Op[i + 1031*t] ? R[B[i + 1031*t]] * R[C[i + 1031*t]] : R[B[i + 1031*t]] + R[C[i + 1031*t]];
R[i + 1714*t] = Op[i + 1032*t] ? R[B[i + 1032*t]] * R[C[i + 1032*t]] : R[B[i + 1032*t]] + R[C[i + 1032*t]];
R[i + 1715*t] = Op[i + 1033*t] ? R[B[i + 1033*t]] * R[C[i + 1033*t]] : R[B[i + 1033*t]] + R[C[i + 1033*t]];
R[i + 1716*t] = Op[i + 1034*t] ? R[B[i + 1034*t]] * R[C[i + 1034*t]] : R[B[i + 1034*t]] + R[C[i + 1034*t]];
R[i + 1717*t] = Op[i + 1035*t] ? R[B[i + 1035*t]] * R[C[i + 1035*t]] : R[B[i + 1035*t]] + R[C[i + 1035*t]];
R[i + 1718*t] = Op[i + 1036*t] ? R[B[i + 1036*t]] * R[C[i + 1036*t]] : R[B[i + 1036*t]] + R[C[i + 1036*t]];
R[i + 1719*t] = Op[i + 1037*t] ? R[B[i + 1037*t]] * R[C[i + 1037*t]] : R[B[i + 1037*t]] + R[C[i + 1037*t]];
__syncthreads();
R[i + 1720*t] = Op[i + 1038*t] ? R[B[i + 1038*t]] * R[C[i + 1038*t]] : R[B[i + 1038*t]] + R[C[i + 1038*t]];
R[i + 1721*t] = Op[i + 1039*t] ? R[B[i + 1039*t]] * R[C[i + 1039*t]] : R[B[i + 1039*t]] + R[C[i + 1039*t]];
R[i + 1722*t] = Op[i + 1040*t] ? R[B[i + 1040*t]] * R[C[i + 1040*t]] : R[B[i + 1040*t]] + R[C[i + 1040*t]];
R[i + 1723*t] = Op[i + 1041*t] ? R[B[i + 1041*t]] * R[C[i + 1041*t]] : R[B[i + 1041*t]] + R[C[i + 1041*t]];
R[i + 1724*t] = Op[i + 1042*t] ? R[B[i + 1042*t]] * R[C[i + 1042*t]] : R[B[i + 1042*t]] + R[C[i + 1042*t]];
R[i + 1725*t] = Op[i + 1043*t] ? R[B[i + 1043*t]] * R[C[i + 1043*t]] : R[B[i + 1043*t]] + R[C[i + 1043*t]];
R[i + 1726*t] = Op[i + 1044*t] ? R[B[i + 1044*t]] * R[C[i + 1044*t]] : R[B[i + 1044*t]] + R[C[i + 1044*t]];
R[i + 1727*t] = Op[i + 1045*t] ? R[B[i + 1045*t]] * R[C[i + 1045*t]] : R[B[i + 1045*t]] + R[C[i + 1045*t]];
__syncthreads();
R[i + 1728*t] = Op[i + 1046*t] ? R[B[i + 1046*t]] * R[C[i + 1046*t]] : R[B[i + 1046*t]] + R[C[i + 1046*t]];
R[i + 1729*t] = Op[i + 1047*t] ? R[B[i + 1047*t]] * R[C[i + 1047*t]] : R[B[i + 1047*t]] + R[C[i + 1047*t]];
R[i + 1730*t] = Op[i + 1048*t] ? R[B[i + 1048*t]] * R[C[i + 1048*t]] : R[B[i + 1048*t]] + R[C[i + 1048*t]];
R[i + 1731*t] = Op[i + 1049*t] ? R[B[i + 1049*t]] * R[C[i + 1049*t]] : R[B[i + 1049*t]] + R[C[i + 1049*t]];
R[i + 1732*t] = Op[i + 1050*t] ? R[B[i + 1050*t]] * R[C[i + 1050*t]] : R[B[i + 1050*t]] + R[C[i + 1050*t]];
R[i + 1733*t] = Op[i + 1051*t] ? R[B[i + 1051*t]] * R[C[i + 1051*t]] : R[B[i + 1051*t]] + R[C[i + 1051*t]];
__syncthreads();
R[i + 1734*t] = Op[i + 1052*t] ? R[B[i + 1052*t]] * R[C[i + 1052*t]] : R[B[i + 1052*t]] + R[C[i + 1052*t]];
R[i + 1735*t] = Op[i + 1053*t] ? R[B[i + 1053*t]] * R[C[i + 1053*t]] : R[B[i + 1053*t]] + R[C[i + 1053*t]];
R[i + 1736*t] = Op[i + 1054*t] ? R[B[i + 1054*t]] * R[C[i + 1054*t]] : R[B[i + 1054*t]] + R[C[i + 1054*t]];
R[i + 1737*t] = Op[i + 1055*t] ? R[B[i + 1055*t]] * R[C[i + 1055*t]] : R[B[i + 1055*t]] + R[C[i + 1055*t]];
__syncthreads();
R[i + 1738*t] = Op[i + 1056*t] ? R[B[i + 1056*t]] * R[C[i + 1056*t]] : R[B[i + 1056*t]] + R[C[i + 1056*t]];
R[i + 1739*t] = Op[i + 1057*t] ? R[B[i + 1057*t]] * R[C[i + 1057*t]] : R[B[i + 1057*t]] + R[C[i + 1057*t]];
R[i + 1740*t] = Op[i + 1058*t] ? R[B[i + 1058*t]] * R[C[i + 1058*t]] : R[B[i + 1058*t]] + R[C[i + 1058*t]];
__syncthreads();
R[i + 1741*t] = Op[i + 1059*t] ? R[B[i + 1059*t]] * R[C[i + 1059*t]] : R[B[i + 1059*t]] + R[C[i + 1059*t]];
R[i + 1742*t] = Op[i + 1060*t] ? R[B[i + 1060*t]] * R[C[i + 1060*t]] : R[B[i + 1060*t]] + R[C[i + 1060*t]];
__syncthreads();
R[i + 1743*t] = Op[i + 1061*t] ? R[B[i + 1061*t]] * R[C[i + 1061*t]] : R[B[i + 1061*t]] + R[C[i + 1061*t]];
R[i + 1744*t] = Op[i + 1062*t] ? R[B[i + 1062*t]] * R[C[i + 1062*t]] : R[B[i + 1062*t]] + R[C[i + 1062*t]];
__syncthreads();
R[i + 1745*t] = Op[i + 1063*t] ? R[B[i + 1063*t]] * R[C[i + 1063*t]] : R[B[i + 1063*t]] + R[C[i + 1063*t]];
__syncthreads();
R[i + 1746*t] = Op[i + 1064*t] ? R[B[i + 1064*t]] * R[C[i + 1064*t]] : R[B[i + 1064*t]] + R[C[i + 1064*t]];
__syncthreads();
R[i + 1747*t] = Op[i + 1065*t] ? R[B[i + 1065*t]] * R[C[i + 1065*t]] : R[B[i + 1065*t]] + R[C[i + 1065*t]];
__syncthreads();
R[i + 1748*t] = Op[i + 1066*t] ? R[B[i + 1066*t]] * R[C[i + 1066*t]] : R[B[i + 1066*t]] + R[C[i + 1066*t]];
__syncthreads();
R[i + 1749*t] = Op[i + 1067*t] ? R[B[i + 1067*t]] * R[C[i + 1067*t]] : R[B[i + 1067*t]] + R[C[i + 1067*t]];
__syncthreads();
R[i + 1750*t] = Op[i + 1068*t] ? R[B[i + 1068*t]] * R[C[i + 1068*t]] : R[B[i + 1068*t]] + R[C[i + 1068*t]];
__syncthreads();
R[i + 1751*t] = Op[i + 1069*t] ? R[B[i + 1069*t]] * R[C[i + 1069*t]] : R[B[i + 1069*t]] + R[C[i + 1069*t]];
__syncthreads();
R[i + 1752*t] = Op[i + 1070*t] ? R[B[i + 1070*t]] * R[C[i + 1070*t]] : R[B[i + 1070*t]] + R[C[i + 1070*t]];
__syncthreads();
R[i + 1753*t] = Op[i + 1071*t] ? R[B[i + 1071*t]] * R[C[i + 1071*t]] : R[B[i + 1071*t]] + R[C[i + 1071*t]];
if (i==0) { final += R[1753*t]; }
__syncthreads();
}
if (i==0) { A[0]= final;}
}
|
9,845 | #include <iostream>
#include <fstream>
using namespace std;
//Define TILE_DIM and BLOCK_ROWS
const int TILE_DIM = 32;
const int BLOCK_ROWS = 8;
__global__ void copy(int *odata, const int *idata)
{
int x = blockIdx.x * TILE_DIM + threadIdx.x;
int y = blockIdx.y * TILE_DIM + threadIdx.y;
int width = gridDim.x * TILE_DIM;
__shared__ int tile[(TILE_DIM * TILE_DIM) + 1];
for (int j = 0; j < TILE_DIM; j += BLOCK_ROWS)
tile[(threadIdx.y+j)*TILE_DIM + threadIdx.x] = idata[(y+j)*width + x];
__syncthreads();
for (int j = 0; j < TILE_DIM; j+= BLOCK_ROWS)
odata[(y+j)*width + x] = tile[(threadIdx.y+j)*TILE_DIM + threadIdx.x];
}
int main(void)
{
//Multiple of 32
//int N = 1<<20; //1M elements
int N = 100*32;
//Allocate Unified Memory -- accessible from CPU or GPU
int *x, *y;
cudaMallocManaged(&x, N*N*sizeof(int));
cudaMallocManaged(&y, N*N*sizeof(int));
//initialize x
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
x[i*N + j] = 1.0f *(i*N + j) ;
}
}
ofstream outfile;
outfile.open("copy_out.txt");
outfile << "Input Matrix:" << endl;
// Output X Matrix
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
outfile << x[i*N+j] << " ";
}
outfile << "\n";
}
dim3 numThreads(TILE_DIM,BLOCK_ROWS,1);
dim3 numBlocks(N/(TILE_DIM),N/(TILE_DIM),1);
printf("numBlocks: %d %d %d. numThreads: %d %d %d\n",numBlocks.x, numBlocks.y, numBlocks.z, numThreads.x, numThreads.y, numThreads.z);
// Run kernel on 1M elements on the CPU
copy<<<numBlocks, numThreads>>>(y, x);
//Wait for GPU to finish before accessing on host
cudaDeviceSynchronize();
outfile << "Output Matrix:" << endl;
// Output Matrix
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
outfile << y[i*N+j] << " ";
}
outfile << "\n";
}
// Free memory
cudaFree(x);
cudaFree(y);
outfile.close();
return 0;
}
|
9,846 | #include "includes.h"
const int BLOCK_SIZE_X = 26;
const int BLOCK_SIZE_Y = 26;
const float w1 = 4.0/9.0, w2 = 1.0/9.0, w3 = 1.0/36.0;
const float Amp2 = 0.1, Width = 10, omega = 1;
__global__ void Denrho(float* u_d, float* f_d, int ArraySizeX, int ArraySizeY)
{
int tx = threadIdx.x;
int ty = threadIdx.y;
int bx = blockIdx.x*(BLOCK_SIZE_X-2);
int by = blockIdx.y*(BLOCK_SIZE_Y-2);
int x = tx + bx;
int y = ty + by;
u_d[x*ArraySizeY+y] = 0;
for (int i=0;i<9;i++)
u_d[x*ArraySizeY+y] += (float)f_d[x*ArraySizeY*9+y*9+i];
__syncthreads();
} |
9,847 | #include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/for_each.h>
#include <iterator>
#include <thrust/copy.h>
#include <thrust/iterator/permutation_iterator.h>
#include <thrust/transform.h>
#include <algorithm>
#include <chrono>
#include <vector>
#include <thrust/sort.h>
int main()
{
auto vec_size =500000000;
auto start = std::chrono::high_resolution_clock::now();
auto end = std::chrono::high_resolution_clock::now();
{
std::cout <<std::endl<<"sort test all std"<<std::endl;
auto start = std::chrono::high_resolution_clock::now();
std::vector<double> vec(vec_size);
std::for_each(vec.begin(), vec.end(), [](double & d){d=rand();});
std::sort(vec.begin(), vec.end());
auto end = std::chrono::high_resolution_clock::now();
std::cout << "STD sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
{
std::cout <<std::endl<<"sort test std"<<std::endl;
std::vector<double> vec(vec_size);
std::for_each(vec.begin(), vec.end(), [](double & d){d=rand();});
auto start = std::chrono::high_resolution_clock::now();
std::sort(vec.begin(), vec.end());
auto end = std::chrono::high_resolution_clock::now();
std::cout << "STD sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
{
std::cout<<"cuda all sort"<<std::endl;
start = std::chrono::high_resolution_clock::now();
thrust::host_vector<double> hv(vec_size);
std::for_each(hv.begin(), hv.end(), [](double & d){d=rand();});
thrust::device_vector<double> d = hv;
thrust::sort(d.begin(), d.end());
hv = d;
end = std::chrono::high_resolution_clock::now();
std::cout << "Cuda sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
{
std::cout<<"cuda sort"<<std::endl;
thrust::host_vector<double> hv(vec_size);
std::for_each(hv.begin(), hv.end(), [](double & d){d=rand();});
start = std::chrono::high_resolution_clock::now();
thrust::device_vector<double> d = hv;
thrust::sort(d.begin(), d.end());
hv = d;
end = std::chrono::high_resolution_clock::now();
std::cout << "Cuda sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
{
std::cout<<"cuda sort without aloc included"<<std::endl;
thrust::host_vector<double> hv(vec_size);
std::for_each(hv.begin(), hv.end(), [](double & d){d=rand();});
thrust::device_vector<double> d(vec_size);
start = std::chrono::high_resolution_clock::now();
thrust::copy(hv.begin(), hv.end(), d.begin());
thrust::sort(d.begin(), d.end());
end = std::chrono::high_resolution_clock::now();
hv = d;
std::cout << "Cuda sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
{
std::cout<<"cuda sort without copy and aloc included"<<std::endl;
thrust::host_vector<double> hv(vec_size);
std::for_each(hv.begin(), hv.end(), [](double & d){d=rand();});
thrust::device_vector<double> d = hv;
start = std::chrono::high_resolution_clock::now();
thrust::sort(d.begin(), d.end());
end = std::chrono::high_resolution_clock::now();
hv = d;
std::cout << "Cuda sort took "
<< std::chrono::duration_cast<std::chrono::milliseconds>(end - start).count()
<< "ms.\n";
}
} |
9,848 | #include "includes.h"
__global__ void VecAdd(float* A, float *B, float *C)
{
int idx = threadIdx.x;
C[idx] = A[idx] + B[idx];
} |
9,849 | #include "includes.h"
#define BLOCK_SIZE 16
/*
* prints matrices
* Because matrices filled with dummy 0s function takes 3 dim arguments:
* actual x and y dimension and dim as big square matrix's dimension
*/
__global__ void multiply(float *left, float *right, float *res, int dim) {
int i,j;
float temp = 0;
__shared__ float Left_shared_t [BLOCK_SIZE][BLOCK_SIZE];
__shared__ float Right_shared_t[BLOCK_SIZE][BLOCK_SIZE];
// Row i of matrix left
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
for (int tileNUM = 0; tileNUM < gridDim.x; tileNUM++) {
// Column j of matrix left
j = tileNUM * BLOCK_SIZE + threadIdx.x;
i = tileNUM * BLOCK_SIZE + threadIdx.y;
// Load left[i][j] to shared mem
Left_shared_t[threadIdx.y][threadIdx.x] = left[row * dim + j];// Coalesced access
// Load right[i][j] to shared mem
Right_shared_t[threadIdx.y][threadIdx.x] = right[i * dim + col]; // Coalesced access
// Synchronize before computation
__syncthreads();
// Accumulate one tile of res from tiles of left and right in shared mem
for (int k = 0; k < BLOCK_SIZE; k++) {
temp += Left_shared_t[threadIdx.y][k] * Right_shared_t[k][threadIdx.x]; //no shared memory bank conflict
}
// Synchronize
__syncthreads();
}
// Store accumulated value to res
res[row * dim + col] = temp;
} |
9,850 | #include "includes.h"
extern "C" {
}
#define TB 256
#define EPS 0.1
#undef MIN
#define MIN(a, b) ((a) < (b) ? (a) : (b))
#undef MAX
#define MAX(a, b) ((a) > (b) ? (a) : (b))
__global__ void patchmatch2_argmax_kernel( float *conv, int *prev_corrAB_upsampled, int *corrAB, int s_rad, int c, int h, int w )
{
int h1 = h, h2 = h, w1 = w, w2 = w;
int id1 = blockIdx.x * blockDim.x + threadIdx.x;
int size1 = h1 * w1;//, size2 = h2 * w2;
int s_size = 2 * s_rad + 1;
int s_n = s_size * s_size;
if (id1 < size1) {
float conv_max = -1;
// int y1 = id1 / w1, x1 = id1 % w1;
int x2 = prev_corrAB_upsampled[2 * id1 + 0];
int y2 = prev_corrAB_upsampled[2 * id1 + 1];
for (int dx2 = -s_rad; dx2 <= s_rad; dx2++) {
for (int dy2 = -s_rad; dy2 <= s_rad; dy2++) {
int new_y2 = y2 + dy2;
int new_x2 = x2 + dx2;
if (new_x2 >= 0 && new_x2 < w2 && new_y2 >= 0 && new_y2 < h2) {
int s_idx = (dy2 + s_rad) * s_size + (dx2 + s_rad);
int id = id1 * s_n + s_idx;
float conv_result = conv[id];
if (conv_result > conv_max) {
conv_max = conv_result;
corrAB[id1 * 2 + 0] = new_x2;
corrAB[id1 * 2 + 1] = new_y2;
}
}
}
}
}
return ;
} |
9,851 | #include <stdio.h>
#include <stdlib.h>
// ... define function 'add' ...
__global__ void add(int *da, int *db, int *dc) {
*dc = *da + *db;
}
int main(int argc, char **argv) {
int a, b, c; // We've chosen static allocation here for host storage..
int *da, *db, *dc; // ...but device storage must be dynamically allocated
a = atoi(argv[1]); // Read the addends from the command line args
b = atoi(argv[2]);
// ... manage memory ...
cudaMalloc((void **)&da, sizeof(int));
cudaMalloc((void **)&db, sizeof(int));
cudaMalloc((void **)&dc, sizeof(int));
// ... move data ...
cudaMemcpy(da, &a, sizeof(int), cudaMemcpyHostToDevice);
cudaMemcpy(db, &b, sizeof(int), cudaMemcpyHostToDevice);
add<<<1,1>>>(da, db, dc);
// ... move data ...
cudaMemcpy(&c, dc, sizeof(int), cudaMemcpyDeviceToHost);
cudaDeviceSynchronize();
printf("%d + %d -> %d\n", a, b, c);
// ... manage memory ...
cudaFree(da); cudaFree(db); cudaFree(dc);
}
|
9,852 | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void incr(int *ptr)
{
/*int temp = *ptr;
temp = temp + 1;
*ptr = temp;*/
atomicAdd(ptr,1);
}
//int main()
//{
// int value = 0;
// int SIZE = sizeof(int);
// int ref = -1;
//
// int *d_val;
// cudaMalloc((void**)&d_val, SIZE);
// cudaMemcpy(d_val, &value, SIZE, cudaMemcpyHostToDevice);
// incr << <1, 32 >> > (d_val);
// cudaDeviceSynchronize();
// cudaMemcpy(&ref,d_val,SIZE, cudaMemcpyDeviceToHost);
//
// printf("Updated value : %d \n",ref);
//
// cudaDeviceReset();
// return 0;
//} |
9,853 | #include "stdio.h"
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true) {
if (code != cudaSuccess) {
fprintf(stderr,"GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
if (abort) exit(code);
}
}
#define CUDA_ERR_CHECK \
gpuErrchk(cudaPeekAtLastError());\
gpuErrchk(cudaDeviceSynchronize());\
__global__ void MyKernel(int *array, int arrayCount)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx < arrayCount)
{
array[idx] *= array[idx];
}
}
void launchMyKernel(int *array, int arrayCount)
{
int blockSize; // The launch configurator returned block size
int minGridSize; // The minimum grid size needed to achieve the
// maximum occupancy for a full device launch
int gridSize; // The actual grid size needed, based on input size
cudaOccupancyMaxPotentialBlockSize( &minGridSize, &blockSize,
MyKernel, 0, 0);
// Round up according to array size
gridSize = (arrayCount + blockSize - 1) / blockSize;
MyKernel<<< gridSize, blockSize >>>(array, arrayCount);
cudaDeviceSynchronize();
// calculate theoretical occupancy
int maxActiveBlocks;
cudaOccupancyMaxActiveBlocksPerMultiprocessor( &maxActiveBlocks,
MyKernel, blockSize,
0);
int device;
cudaDeviceProp props;
cudaGetDevice(&device);
cudaGetDeviceProperties(&props, device);
float occupancy = (maxActiveBlocks * blockSize / props.warpSize) /
(float)(props.maxThreadsPerMultiProcessor /
props.warpSize);
printf("Launched blocks of size %d. Theoretical occupancy: %f\n",
blockSize, occupancy);
}
int main() {
cudaError_t err;
int *array, arrayCount = 10000;
err = cudaMalloc((void **)&array, (arrayCount + 1) * sizeof(int));
CUDA_ERR_CHECK;
launchMyKernel(array, arrayCount);
return 1;
}
|
9,854 | #include "includes.h"
__global__ void computeHessianListS0(float *trans_x, float *trans_y, float *trans_z, int *valid_points, int *starting_voxel_id, int *voxel_id, int valid_points_num, double *centroid_x, double *centroid_y, double *centroid_z, double *icov00, double *icov01, double *icov02, double *icov10, double *icov11, double *icov12, double *icov20, double *icov21, double *icov22, double *point_gradients, double *tmp_hessian, int valid_voxel_num)
{
int id = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
int col = blockIdx.y;
if (col < 6) {
double *tmp_pg0 = point_gradients + col * valid_points_num;
double *tmp_pg1 = tmp_pg0 + 6 * valid_points_num;
double *tmp_pg2 = tmp_pg1 + 6 * valid_points_num;
double *tmp_h = tmp_hessian + col * valid_voxel_num;
for (int i = id; i < valid_points_num; i += stride) {
int pid = valid_points[i];
double d_x = static_cast<double>(trans_x[pid]);
double d_y = static_cast<double>(trans_y[pid]);
double d_z = static_cast<double>(trans_z[pid]);
double pg0 = tmp_pg0[i];
double pg1 = tmp_pg1[i];
double pg2 = tmp_pg2[i];
for ( int j = starting_voxel_id[i]; j < starting_voxel_id[i + 1]; j++) {
int vid = voxel_id[j];
tmp_h[j] = (d_x - centroid_x[vid]) * (icov00[vid] * pg0 + icov01[vid] * pg1 + icov02[vid] * pg2)
+ (d_y - centroid_y[vid]) * (icov10[vid] * pg0 + icov11[vid] * pg1 + icov12[vid] * pg2)
+ (d_z - centroid_z[vid]) * (icov20[vid] * pg0 + icov21[vid] * pg1 + icov22[vid] * pg2);
}
}
}
} |
9,855 | #include <cuda.h>
#include <cufft.h>
#include <stdio.h>
void cufft_check_error(const char* file_name, const int line_number, cufftResult result)
{
if (result == CUFFT_SUCCESS) return;
printf("CUFFT error at line %i of file %s: ", line_number, file_name);
switch (result)
{
case CUFFT_INVALID_PLAN:
{
printf("CUFFT_INVALID_PLAN\n");
break;
}
case CUFFT_ALLOC_FAILED:
{
printf("CUFFT_ALLOC_FAILED\n");
break;
}
case CUFFT_INVALID_VALUE:
{
printf("CUFFT_INVALID_VALUE\n");
break;
}
case CUFFT_INTERNAL_ERROR:
{
printf("CUFFT_INTERNAL_ERROR\n");
break;
}
case CUFFT_SETUP_FAILED:
{
printf("CUFFT_SETUP_FAILED\n");
break;
}
case CUFFT_INVALID_SIZE:
{
printf("CUFFT_INVALID_SIZE\n");
break;
}
default:
{
printf("unknown error code %i\n", result);
break;
}
}
}
int main(int argn, char** argv)
{
cuInit(0);
cufftHandle plan;
cufftResult result = cufftCreate(&plan);
cufft_check_error(__FILE__, __LINE__, result);
int nfft = 4;
int n[] = {100, 100, 100};
int fft_size = n[0] * n[1] * n[2];
size_t work_size;
//result = cufftGetSizeMany(plan, 3, n, n, 1, fft_size, n, 1, fft_size, CUFFT_Z2Z, nfft, &work_size);
//result = cufftGetSizeMany(plan, 3, n, NULL, 1, fft_size, NULL, 1, fft_size, CUFFT_Z2Z, nfft, &work_size);
result = cufftEstimateMany(3, n, NULL, 1, fft_size, NULL, 1, fft_size, CUFFT_Z2Z, nfft, &work_size);
cufft_check_error(__FILE__, __LINE__, result);
printf("FFT size: %i\n", fft_size);
printf("number of FFTs: %i\n", nfft);
printf("estimated work size: %li\n", work_size);
}
|
9,856 | #include <stdio.h>
#include <math.h>
#define PI 3.1415926535
#define BLOCK_SIZE 160
#define THREAD_SIZE 32
__global__ void integrate_kern(long long num_intervals, double *result) {
long long i;
double rect_width, area, sum, x_middle;
int idx = blockDim.x * blockIdx.x + threadIdx.x;
int size = blockDim.x * gridDim.x;
rect_width = PI / num_intervals;
sum = 0;
for(i = 1 + idx; i < num_intervals + 1; i += size) {
/* find the middle of the interval on the X-axis. */
x_middle = (i - 0.5) * rect_width;
area = sin(x_middle) * rect_width;
sum = sum + area;
}
result[idx] = sum;
}
int main(int argc, char **argv)
{
long long i, num_intervals, size;
double sum;
double *gpu_sum, *array;
if (argc < 2) {
fprintf(stderr, "usage: %s <number of intervals>\n", argv[0]);
return 1;
}
sscanf(argv[1],"%llu",&num_intervals);
size = BLOCK_SIZE * THREAD_SIZE;
cudaMalloc(&gpu_sum, sizeof(double) * size);
array = (double *) malloc(sizeof(double) * size);
integrate_kern<<<BLOCK_SIZE, THREAD_SIZE>>>(num_intervals, gpu_sum);
cudaMemcpy(array, gpu_sum, sizeof(double) * size, cudaMemcpyDeviceToHost);
sum = 0;
for (i = 0; i < size; i++) {
sum += array[i];
}
printf("The total area is: %f\n", (float)sum);
free(array);
cudaFree(gpu_sum);
return 0;
}
|
9,857 | #include <stdlib.h>
#include <stdio.h>
// --------------------------------
// Expected Output
//
// 0 0 1 1 2 2 3 3
// 0 0 1 1 2 2 3 3
// 4 4 5 5 6 6 7 7
// 4 4 5 5 6 6 7 7
// 8 8 9 9 10 10 11 11
// 8 8 9 9 10 10 11 11
// 12 12 13 13 14 14 15 15
// 12 12 13 13 14 14 15 15
//
// Kernal compute the two dimensional index of this particular
// thread in the grid
//
// TODO: Fill up the ???
__global__ void launch2DGrid(int *array)
{
// TODO: computate x dimension:
int x = blockIdx.x * blockDim.x + threadIdx.x;
// TODO: computate y dimension:
int y = blockIdx.y * blockDim.y + threadIdx.y;
// TODO: use the two 2D indices to compute the position
int pindex = y * gridDim.x * blockDim.x + x;
// TODO: use the two 2D block indices to compute a single
// linear block index of value
int pvalue = blockIdx.y * gridDim.x + blockIdx.x;
// TODO: write out the result
array[pindex] = pvalue;
}
int main(void)
{
// TODO: Set total element of column
int total_elements_in_column = 8;
// TODO: Set total element of row
int total_elements_in_row = 8;
// TODO: Set total number of input bytes to be allocated
int num_bytes = total_elements_in_column * total_elements_in_row * sizeof(int);
// TODO: Create a variable to store the device result
int *device_array = 0;
// TODO: Create a variable to store the host result
int *host_array = 0;
// TODO: Allocate the host memory variable for CPU
host_array = (int*)malloc(num_bytes);
// TODO: Allocate the device memory variable for GPU
cudaMalloc((void**)&device_array, num_bytes);
// Validate memory allocation failed
if(host_array == 0 || device_array == 0)
{
printf("Failed to allocate memory\n");
return 1;
}
// TODO: Create a 2x2 dimensional of thread blocks
dim3 block_size(2,2);
// TODO: Create a two dimensional grid
dim3 grid_size;
// TODO: Configure total of element of columns per block size of x
grid_size.x = total_elements_in_column / block_size.x;
// TODO: Configure total of element of rows per block size of y
grid_size.y = total_elements_in_row / block_size.y;
// TODO: Launch the kernel function
launch2DGrid<<<grid_size,block_size>>>(device_array);
// TODO: Copy the result from GPU to CPU
cudaMemcpy(host_array, device_array, num_bytes, cudaMemcpyDeviceToHost);
// Display the result element by element
for(int row = 0; row < total_elements_in_row; ++row)
{
for(int col = 0; col < total_elements_in_column; ++col)
{
printf("%2d ", host_array[row * total_elements_in_column + col]);
}
printf("\n");
}
printf("\n");
// TODO: Free the host memory
free(host_array);
// TODO: Free the device memory
cudaFree(device_array);
return 0;
} |
9,858 | #include "includes.h"
// includes, project
#define PI 3.1415926536f
int MaxThreadsPerBlock;
int MaxThreadsX;
int MaxThreadsY;
// Conversion d'un vecteur réel en vecteur complexe
// Conversion d'un vecteur complexe en vecteur réel
// Multiplie point par point un vecteur complex par un vecteur réel
// Applique y = at*x +bt à chaque point d'un vecteur réel
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de réel
// Alpha n'est pas modifié
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de bytes
// Alpha n'est pas modifié
// Remplissage de la linearmem (tableau de pixels) associée à la texture avec le tableau de réel
// Alpha autorise l'affichage au dessus d'un certain seuil
// Processus auto-régressif X2 = a*X1 + b*X0 + N0;
// Expansion
// On applique une interpolation bi-linéaire à la source
// Transformation Cartesian To Polar
// On applique une interpolation bi-linéaire à la source
__global__ void KtexFillRect(void* surface, double* tb, int width, int height, size_t pitch, float2* Pts, int k, float th)
{
int x = blockIdx.x*blockDim.x + threadIdx.x;
int y = blockIdx.y*blockDim.y + threadIdx.y;
unsigned char *pixel1;
if (x >= width || y >= height) return;
pixel1 = (unsigned char *)( (char*)surface + y*pitch) + 4*x;
if (
((Pts[1].y-Pts[0].y)*(x-Pts[0].x)-( y-Pts[0].y)*(Pts[1].x-Pts[0].x)>=0)
&&
((Pts[2].y-Pts[1].y)*(x-Pts[1].x)-( y-Pts[1].y)*(Pts[2].x-Pts[1].x)>=0)
&&
((Pts[3].y-Pts[2].y)*(x-Pts[2].x)-( y-Pts[2].y)*(Pts[3].x-Pts[2].x)>=0)
&&
((Pts[0].y-Pts[3].y)*(x-Pts[3].x)-( y-Pts[3].y)*(Pts[0].x-Pts[3].x)>=0)
&&
(pixel1[k]>=th)
)
tb[x + width*y] = 1;
} |
9,859 | /******************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
******************************************************************************/
#include <stdio.h>
__global__ void VecAdd(int n, const float *A, const float *B, float* C) {
/********************************************************************
*
* Compute C = A + B
* where A is a (1 * n) vector
* where B is a (1 * n) vector
* where C is a (1 * n) vector
*
********************************************************************/
// INSERT KERNEL CODE HERE
long long start = clock64();
long long cycles_elapsed;
do { cycles_elapsed = clock64() - start; }
while (cycles_elapsed < 20000);
int i = threadIdx.x + blockDim.x * blockIdx.x;
if(i < n){
C[i] = A[i] + B[i];
}
}
void streamVecAdd(float *A, float *B, float *C, int n){
const unsigned int BLOCK_SIZE = 512;
cudaStream_t stream[3];
float *d_A[3];
float *d_B[3];
float *d_C[3];
unsigned long segSize = n/3;
for (int i = 0; i < 2; ++i)
{
cudaMalloc((void **) &d_A[i], (segSize)*sizeof(float));
cudaMalloc((void **) &d_B[i], (segSize)*sizeof(float));
cudaMalloc((void **) &d_C[i], (segSize)*sizeof(float));
//cudaStreamCreate(&stream[i]);
cudaStreamCreateWithFlags(&stream[i], cudaStreamNonBlocking);
}
cudaMalloc((void **) &d_A[2], (segSize+n%3)*sizeof(float));
cudaMalloc((void **) &d_B[2], (segSize+n%3)*sizeof(float));
cudaMalloc((void **) &d_C[2], (segSize+n%3)*sizeof(float));
//cudaStreamCreate(&stream[2]);
cudaStreamCreateWithFlags(&stream[2], cudaStreamNonBlocking);
cudaMemcpyAsync(d_A[0], A, segSize*sizeof(float),cudaMemcpyHostToDevice, stream[0]);
cudaMemcpyAsync(d_B[0], B, segSize*sizeof(float),cudaMemcpyHostToDevice, stream[0]);
cudaMemcpyAsync(d_A[1], A+segSize, segSize*sizeof(float),cudaMemcpyHostToDevice, stream[1]);
cudaMemcpyAsync(d_B[1], B+segSize, segSize*sizeof(float),cudaMemcpyHostToDevice, stream[1]);
cudaMemcpyAsync(d_A[2], A+2*segSize, (segSize+n%3)*sizeof(float),cudaMemcpyHostToDevice, stream[2]);
cudaMemcpyAsync(d_B[2], B+2*segSize, (segSize+n%3)*sizeof(float),cudaMemcpyHostToDevice, stream[2]);
VecAdd<<<(segSize-1)/BLOCK_SIZE+1, BLOCK_SIZE,0,stream[0]>>>(segSize,d_A[0],d_B[0],d_C[0]);
VecAdd<<<(segSize-1)/BLOCK_SIZE+1, BLOCK_SIZE,0,stream[1]>>>(segSize,d_A[1],d_B[1],d_C[1]);
VecAdd<<<(segSize+n%3-1)/BLOCK_SIZE+1, BLOCK_SIZE,0,stream[2]>>>(segSize+n%3,d_A[2],d_B[2],d_C[2]);
cudaMemcpyAsync(C, d_C[0], segSize*sizeof(float),cudaMemcpyDeviceToHost, stream[0]);
cudaMemcpyAsync(C+segSize, d_C[1], segSize*sizeof(float),cudaMemcpyDeviceToHost, stream[1]);
cudaMemcpyAsync(C+2*segSize, d_C[2], (segSize+n%3)*sizeof(float),cudaMemcpyDeviceToHost, stream[2]);
for (int i = 0; i < 3; ++i)
{
cudaFree(d_A[i]);
cudaFree(d_B[i]);
cudaFree(d_C[i]);
}
}
/*void basicVecAdd( float *A, float *B, float *C, int n)
{
// Initialize thread block and kernel grid dimensions ---------------------
const unsigned int BLOCK_SIZE = 512;
//INSERT CODE HERE
VecAdd<<<(n-1)/BLOCK_SIZE+1, BLOCK_SIZE>>>(n,A,B,C);
}
*/
|
9,860 | /////////////////////////////////////////////////////////////////////////////
//
// DATE
// 06/22/2015
//
// AUTHORS
// Hannes Bartosik, Adrian Oeftiger
//
// DESCRIPTION
// FADDEEVA error function for GPU in CUDA.
// This file is intended to be used as a
// preamble to depending kernels, e.g. in PyCUDA
// via ElementwiseKernel(..., preamble=open( <this_file> ).read()).
//
/////////////////////////////////////////////////////////////////////////////
#include <math.h>
#define errf_const 1.12837916709551
#define xLim 5.33
#define yLim 4.29
__device__ void wofz(double in_real, double in_imag,
double* out_real, double* out_imag)
{
/**
this function calculates the double precision complex error function
based on the algorithm of the FORTRAN function written at CERN by
K. Koelbig, Program C335, 1970.
See also M. Bassetti and G.A. Erskine, "Closed expression for the
electric field of a two-dimensional Gaussian charge density",
CERN-ISR-TH/80-06.
*/
int n, nc, nu;
double h, q, Saux, Sx, Sy, Tn, Tx, Ty, Wx, Wy, xh, xl, x, yh, y;
double Rx [33];
double Ry [33];
x = fabs(in_real);
y = fabs(in_imag);
if (y < yLim && x < xLim) {
q = (1.0 - y / yLim) * sqrt(1.0 - (x / xLim) * (x / xLim));
h = 1.0 / (3.2 * q);
nc = 7 + int(23.0 * q);
xl = pow(h, double(1 - nc));
xh = y + 0.5 / h;
yh = x;
nu = 10 + int(21.0 * q);
Rx[nu] = 0.;
Ry[nu] = 0.;
for (n = nu; n > 0; n--){
Tx = xh + n * Rx[n];
Ty = yh - n * Ry[n];
Tn = Tx*Tx + Ty*Ty;
Rx[n-1] = 0.5 * Tx / Tn;
Ry[n-1] = 0.5 * Ty / Tn;
}
Sx = 0.;
Sy = 0.;
for (n = nc; n>0; n--){
Saux = Sx + xl;
Sx = Rx[n-1] * Saux - Ry[n-1] * Sy;
Sy = Rx[n-1] * Sy + Ry[n-1] * Saux;
xl = h * xl;
};
Wx = errf_const * Sx;
Wy = errf_const * Sy;
}
else {
xh = y;
yh = x;
Rx[0] = 0.;
Ry[0] = 0.;
for (n = 9; n>0; n--){
Tx = xh + n * Rx[0];
Ty = yh - n * Ry[0];
Tn = Tx * Tx + Ty * Ty;
Rx[0] = 0.5 * Tx / Tn;
Ry[0] = 0.5 * Ty / Tn;
};
Wx = errf_const * Rx[0];
Wy = errf_const * Ry[0];
}
if (y == 0.) {
Wx = exp(-x * x);
}
if (in_imag < 0.) {
Wx = 2.0 * exp(y * y - x * x) * cos(2.0 * x * y) - Wx;
Wy = - 2.0 * exp(y * y - x * x) * sin(2.0 * x * y) - Wy;
if (in_real > 0.) {
Wy = -Wy;
}
}
else if (in_real < 0.) {
Wy = -Wy;
}
*out_real = Wx;
*out_imag = Wy;
}
|
9,861 | #include <cstdio>
extern "C" {
__global__
void init(int* levels) {
int x = (blockIdx.x * blockDim.x) + threadIdx.x;
if (x!= 0){
levels[x] = -1;
}
else {
levels[0] = 0;
}
}
__global__
void bfs(int* levels, int* graph, int level, int* changed, int n) {
int y = (blockIdx.x * blockDim.x) + threadIdx.x;
int x = (blockIdx.y * blockDim.y) + threadIdx.y;
bool flag = false;
if (levels[y] != level) {
return;
}
if (graph[y*n + x] > 0 && levels[x] == -1) {
flag = true;
levels[x] = level+1;
}
if (flag)
*changed = 1;
}
} |
9,862 | #include <stdio.h>
#include <stdlib.h>
// cuda include
#include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
__device__ float Grand(curandState *state){
int index = blockIdx.x * blockDim.x + threadIdx.x;
curandState local_state = state[index];
float rand_num = curand_uniform(&local_state);
state[index] = local_state;
return rand_num;
}
__device__ int GrandInt(curandState *state, int limit){
float rand_num = Grand(state) * (limit + 1);
return (int)rand_num;
}
__global__ void GSrand(curandState *state, unsigned int seed){
int index = blockIdx.x * blockDim.x + threadIdx.x;
curand_init(seed, index, 0, &state[index]);
}
|
9,863 | #include "includes.h"
__global__ void update_linear_and_quadratic_terms_kernel( int32_t n, float old_num_frames, float prior_offset, float* cur_tot_weight, int32_t max_count, float* quadratic, float* linear) {
float cur_weight = *cur_tot_weight;
float new_num_frames = old_num_frames + cur_weight;
float prior_scale_change = 1.0f;
if(max_count!=0.0f) {
float old_prior_scale = max(old_num_frames, (float)max_count) / max_count;
float new_prior_scale = max(new_num_frames, (float)max_count) / max_count;
prior_scale_change += new_prior_scale - old_prior_scale;
}
for (int32_t i = blockIdx.x * blockDim.x + threadIdx.x; i < n;
i += blockDim.x * gridDim.x) {
int32_t diag_idx = ((i + 1) * (i + 2) / 2) - 1;
quadratic[diag_idx] += prior_scale_change;
}
if (threadIdx.x == 0 && blockIdx.x==0) {
linear[0] += prior_offset * prior_scale_change;
}
} |
9,864 | #include "includes.h"
__global__ void sub0(float *div0, float *div, float *g, float lambda, int nx, int ny)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int idx = x + y*nx;
if (x<nx && y<ny) div[idx] = div0[idx] - g[idx] / lambda;
} |
9,865 | #include <stdio.h>
#include <sys/time.h>
#define N 10
// helper for main()
long readList(long**);
// data[], size, threads, blocks,
void mergesort(long*, long, dim3, dim3);
// A[]. B[], size, width, slices, nThreads
__global__ void gpu_mergesort(long*, long*, long, long, long, dim3*, dim3*);
__device__ void gpu_bottomUpMerge(long*, long*, long, long, long);
int tm();
#define min(a, b) (a < b ? a : b)
void printHelp(char* program) {
}
int main(int argc, char** argv) {
dim3 threadsPerBlock;
dim3 blocksPerGrid;
threadsPerBlock.x = 32;
blocksPerGrid.x = 8;
long* data = (long*)malloc(N*sizeof(long));;
for(int i = 0; i < N; i++) {
data[i] = rand()%100;
}
printf("sorting %d numbers\n",N);
// merge-sort the data
mergesort(data, N, threadsPerBlock, blocksPerGrid);
for (int i = 0; i < N; i++) {
printf("%ld\n", data[i] );
}
}
void mergesort(long* data, long size, dim3 threadsPerBlock, dim3 blocksPerGrid) {
// Allocate two arrays on the GPU
long* D_data;
long* D_swp;
dim3* D_threads;
dim3* D_blocks;
cudaMalloc((void**) &D_data, size * sizeof(long));
cudaMalloc((void**) &D_swp, size * sizeof(long));
// Copy from our input list into the first array
cudaMemcpy(D_data, data, size * sizeof(long), cudaMemcpyHostToDevice);
// Copy the thread / block info to the GPU as well
cudaMalloc((void**) &D_threads, sizeof(dim3));
cudaMalloc((void**) &D_blocks, sizeof(dim3));
cudaMemcpy(D_threads, &threadsPerBlock, sizeof(dim3), cudaMemcpyHostToDevice);
cudaMemcpy(D_blocks, &blocksPerGrid, sizeof(dim3), cudaMemcpyHostToDevice);
long* A = D_data;
long* B = D_swp;
long nThreads = threadsPerBlock.x * threadsPerBlock.y * threadsPerBlock.z *
blocksPerGrid.x * blocksPerGrid.y * blocksPerGrid.z;
//
// Slice up the list and give pieces of it to each thread, letting the pieces grow
// bigger and bigger until the whole list is sorted
//
for (int width = 2; width < (size << 1); width <<= 1) {
long slices = size / ((nThreads) * width) + 1;
gpu_mergesort<<<blocksPerGrid, threadsPerBlock>>>(A, B, size, width, slices, D_threads, D_blocks);
// Switch the input / output arrays instead of copying them around
A = A == D_data ? D_swp : D_data;
B = B == D_data ? D_swp : D_data;
}
//
// Get the list back from the GPU
//
cudaMemcpy(data, A, size * sizeof(long), cudaMemcpyDeviceToHost);
// Free the GPU memory
cudaFree(A);
cudaFree(B);
}
__device__ void gpu_Merge(long* source, long* dest, long start, long middle, long end) {
long i = start;
long j = middle;
for (long k = start; k < end; k++) {
if (i < middle && (j >= end || source[i] < source[j])) {
dest[k] = source[i];
i++;
} else {
dest[k] = source[j];
j++;
}
}
}
//
// Perform a full mergesort on our section of the data.
//
__global__ void gpu_mergesort(long* source, long* dest, long size, long width, long slices, dim3* threads, dim3* blocks) {
unsigned int idx=(blockIdx.x*blockDim.x)+threadIdx.x;
long start = width*idx*slices,
middle,
end;
for (long slice = 0; slice < slices; slice++) {
if (start >= size)
break;
middle = min(start + (width >> 1), size);
end = min(start + width, size);
gpu_Merge(source, dest, start, middle, end);
start += width;
}
}
//
// Finally, sort something
// gets called by gpu_mergesort() for each slice
//
// read data into a minimal linked list
|
9,866 | #include <stdio.h>
#define N 10000000
__global__ void c_code(void){
}
int main(void) {
c_code<<<1,1>>>();
int A[10000000], B[10000000], C[10000000];
int i;
for (i=0; i<N; i++) {
C[i] = A[i] + B[i];
};
return 0;
}
|
9,867 |
__global__ void lsearch(int *a, int n, int x, int *index){
int i = threadIdx.x + blockIdx.x * blockDim.x;
if (i < n)
if (a[i] == x)
index[0] = i;
}
|
9,868 | #include <iostream>
#include <cstdio>
using std::cout;
using std::endl;
__global__ void matrixMultiplyKernel(float *A, float *B, float *C, int N)
{
unsigned int row = blockIdx.y * blockDim.y + threadIdx.y;
unsigned int col = blockIdx.x * blockDim.x + threadIdx.x;
float result = 0.0;
for (int i = 0; i < N; ++i)
{
result += A[row * N + i] * B[i * N + col];
}
C[(row * N) + col] = result;
}
float *initializeMatrix(unsigned int size)
{
float *matrix = new float[size * size];
for (int i = 0; i < size; ++i)
{
for (int j = 0; j < size; ++j)
{
matrix[(i * size) + j] = rand() % 100;
}
}
return matrix;
}
float *allocateDeviceMemory(int bufferSize)
{
float *device;
cudaMalloc(&device, bufferSize);
return device;
}
void copyHostMemoryToDevice(float *host, float *device, int bufferSize)
{
cudaMemcpy(device, host, bufferSize, cudaMemcpyHostToDevice);
}
void createTimerEvents(cudaEvent_t &start, cudaEvent_t &stop)
{
cudaEventCreate(&start);
cudaEventCreate(&stop);
}
void destroyTimerEvents(cudaEvent_t &start, cudaEvent_t &stop)
{
cudaEventDestroy(start);
cudaEventDestroy(stop);
}
void freeMemory(float *devA, float *hostA, float *devB, float *hostB, float *devC)
{
cudaFree(devA);
free(hostA);
cudaFree(devB);
free(hostB);
cudaFree(devC);
}
void startTimer(cudaEvent_t &start)
{
cudaEventRecord(start, 0);
}
void stopTimer(cudaEvent_t &stop)
{
cudaEventRecord(stop, 0);
cudaEventSynchronize(stop);
}
float readExecutionTimeInMillis(cudaEvent_t &start, cudaEvent_t &stop)
{
float time;
cudaEventElapsedTime(&time, start, stop);
return time;
}
int main(int argc, char *argv[])
{
if (argc != 3)
{
std::cerr << "Usage: ./macierz_cuda threadCount matrixSize" << endl;
return -1;
}
unsigned int threadCount = atoi(argv[1]);
unsigned int matrixSize = atoi(argv[2]);
float *hostA = initializeMatrix(matrixSize);
float *hostB = initializeMatrix(matrixSize);
int allocBuffer = matrixSize * matrixSize * sizeof(float);
float *devA = allocateDeviceMemory(allocBuffer);
float *devB = allocateDeviceMemory(allocBuffer);
float *devC = allocateDeviceMemory(allocBuffer);
copyHostMemoryToDevice(hostA, devA, allocBuffer);
copyHostMemoryToDevice(hostB, devB, allocBuffer);
cudaEvent_t start, stop;
createTimerEvents(start, stop);
dim3 block(threadCount);
dim3 grid(matrixSize / block.x, matrixSize / block.y);
startTimer(start);
matrixMultiplyKernel<<<grid, block>>>(devA, devB, devC, matrixSize);
stopTimer(stop);
cout << readExecutionTimeInMillis(start, stop) << endl;
destroyTimerEvents(start, stop);
freeMemory(devA, hostA, devB, hostB, devC);
return 0;
}
|
9,869 | #include <stdio.h>
#include <cuda_runtime.h>
// #include <helper_cuda.h>
#define THREADS_PER_BLOCK 32
__global__ void multiplyMatrices(int *a, int *b, int *c, int m, int n, int k){
for (int col = blockIdx.x * blockDim.x + threadIdx.x; col < k; col += gridDim.x * blockDim.x)
for (int row = blockIdx.y * blockDim.y + threadIdx.y; row < m; row += gridDim.y * blockDim.y){
int sum = 0;
for(int i = 0; i < n; i++)
sum += a[row * n + i] * b[i * k + col];
c[row * k + col] = sum;
}
}
int main(void){
cudaError_t err = cudaSuccess;
// a: m x n
// b: n x k
// c: m x k
int *a, *b, *c;
int m = 2000000, n = 2000000, k = 2000000;
cudaMallocManaged(&a, sizeof(int) * m * n);
cudaMallocManaged(&b, sizeof(int) * n * k);
cudaMallocManaged(&c, sizeof(int) * m * k);
for(int i = 0; i < m; i++)
for(int j = 0; j < n; j++)
a[i * n + j] = rand() % 10;
for(int i = 0; i < n; i++)
for(int j = 0; j < k; j++)
b[i * k + j] = rand() % 10;
multiplyMatrices<<<
(
(m + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK,
(k + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK
),
(
THREADS_PER_BLOCK,
THREADS_PER_BLOCK
)
>>>(
a, b, c,
m, n, k
);
if ((err = cudaGetLastError()) != cudaSuccess){
fprintf(stderr, "Failed to launch kernel: %s\n", cudaGetErrorString(err));
exit(EXIT_FAILURE);
}
cudaDeviceSynchronize();
for(int i = 0; i < m; i++){
for(int j = 0; j < k; j++)
printf("%d ", c[i * k + j]);
printf("\n");
}
printf("Done\n");
cudaFree(a);
cudaFree(b);
cudaFree(c);
return 0;
} |
9,870 | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
long datasize;
cudaError_t searchKeyword(int *result, char *data, char *keyword);
__global__ void searchKeywordKernel(int *result, char *data, char *keyword,int datasize)
{
int i = blockIdx.x*threadIdx.x;
// Detect the first matching character
if(i<datasize){
if (data[i] == keyword[0]) {
// Loop through next keyword character
for (int j=1; j<3; i++) {
if (data[i+j] != keyword[j])
break;
else
// Store the first matching character to the result list
result[i] = 1;
}
}
}
}
int main()
{
FILE *f = fopen("input.txt", "rb");
fseek(f, 0, SEEK_END);
datasize = ftell(f);
fseek(f, 0, SEEK_SET); //same as rewind(f);
fclose(f);
char data[datasize];
fread(data, datasize, 1, f);
// char keyword[8]={'S','H','E','R','L','O','C','K'};// char pattern
char keyword[8]={'s'};
int result[datasize];
// Set false value in result array
memset(result, 0, datasize);
// Generate input data
// Search keyword in parallel.
cudaError_t cudaStatus = searchKeyword(result, data, keyword);
// Print out the string match result position
int total_matches = 0;
for (int i=0; i<datasize; i++) {
if (result[i] == 1) {
printf("Character found at position % i\n", i);
total_matches++;
}
}
printf("Total matches = %d\n", total_matches);
cudaStatus = cudaDeviceReset();
system("pause");
return 0;
}
// Helper function for using CUDA to search a list of characters in parallel.
cudaError_t searchKeyword(int *result, char *data, char *keyword)
{
char *dev_data = 0;
char *dev_keyword = 0;
int *dev_result = 0;
cudaError_t cudaStatus;
cudaStatus = cudaSetDevice(0);
cudaStatus = cudaMalloc((void**)&dev_result, datasize * sizeof(int));
cudaStatus = cudaMalloc((void**)&dev_data, datasize * sizeof(char));
cudaStatus = cudaMalloc((void**)&dev_keyword, datasize * sizeof(char));
cudaStatus = cudaMemcpy(dev_data, data, datasize * sizeof(char), cudaMemcpyHostToDevice);
cudaStatus = cudaMemcpy(dev_keyword, keyword, datasize * sizeof(char), cudaMemcpyHostToDevice);
int bk = (int) (datasize/512);
int gputhreads = 512;
if (bk > 0) {
gputhreads = 512;
}
else{
bk = 1;
gputhreads = datasize;
}
searchKeywordKernel<<<bk,gputhreads >>>(dev_result, dev_data, dev_keyword,datasize);
cudaStatus = cudaDeviceSynchronize();
cudaStatus = cudaMemcpy(result, dev_result, datasize * sizeof(int), cudaMemcpyDeviceToHost);
cudaFree(dev_result);
cudaFree(dev_data);
cudaFree(dev_keyword);
return cudaStatus;
} |
9,871 | #include <stdlib.h>
#include <stdio.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda_runtime.h>
#include <sys/time.h>
#include <time.h>
#define GPU_RUNS 100
//Calculates (x/x-2.3)^3 serial for every x in the array using the cpu
void squareSerial(float* d_in, float* d_out, int N){
for (unsigned int i = 0; i < N; ++i){
d_out[i] = pow(d_in[i]/(d_in[i]-2.3), 3);
}
}
//Calculates (x/x-2.3)^3 for every x in the array using the gpu
__global__ void squareKernel(float* d_in, float* d_out, int N){
const unsigned int lid = threadIdx.x;
const unsigned int gid = blockIdx.x*blockDim.x + lid;
if(gid < N){
d_out[gid] = pow(d_in[gid]/(d_in[gid]-2.3), 3);
}
}
//Calculates the time different between two timevals
int timeval_substract(struct timeval* result, struct timeval* t2, struct timeval* t1){
unsigned int resolution = 1000000;
long int diff = (t2 -> tv_usec + resolution * t2 -> tv_sec) - (t1 -> tv_usec + resolution * t1 -> tv_sec);
result -> tv_sec = diff/resolution;
result -> tv_usec = diff % resolution;
return (diff <0);
}
int main(int argc, char *argv[]){
unsigned int N; //sæt tilbage til 753411
if(argc != 2){
printf("Missing value for N \n");
N = 753411;
}else {
N = atoi(argv[1]);
}
unsigned int mem_size = N*sizeof(float);
unsigned int block_size = 256;
unsigned int num_blocks = ((N + (block_size -1))/block_size);
//For measure the time
unsigned long int elapsed_gpu; struct timeval t_start_gpu, t_end_gpu, t_diff_gpu;
unsigned long int elapsed_cpu; struct timeval t_start_cpu, t_end_cpu, t_diff_cpu;
//allocates memory for the arrays
float* h_in = (float*) malloc(mem_size);
float* gpu_res = (float*) malloc(mem_size);
float* cpu_res = (float*) malloc(mem_size);
//initialize the memory
for(unsigned int i = 0; i <N; ++i){
h_in[i] = float(i);
}
//allocate device memory
float* d_in;
float* d_out;
cudaMalloc((void**)&d_in, mem_size);
cudaMalloc((void**)&d_out, mem_size);
//copy host memory to device
cudaMemcpy(d_in, h_in, mem_size, cudaMemcpyHostToDevice);
//starts the time for the gpu
gettimeofday(&t_start_gpu, NULL);
//execute the kernel and calculates the square using gpu
squareKernel <<<num_blocks, block_size>>>(d_in, d_out, N);
//ends the time for the gpu
gettimeofday(&t_end_gpu, NULL);
//copy result from device to host
cudaMemcpy(gpu_res, d_out, mem_size, cudaMemcpyDeviceToHost);
//starts the time for cpu
gettimeofday(&t_start_cpu, NULL);
//Calculates squareSerial using the cpu
squareSerial(h_in, cpu_res, N);
//ends the time for the cpu
gettimeofday(&t_end_cpu, NULL);
//Checks the results are the same
int valid, invalid;
valid = invalid = 0;
for (unsigned int j = 0; j < N; ++j){
if(fabs(cpu_res[j] - gpu_res[j]) < 0.0001){
valid++;
}else{
invalid++;
}
}
printf("Valid: %d, Invalid: %d \n", valid, invalid);
//time for kernel gpu
timeval_substract(&t_diff_gpu, &t_end_gpu, &t_start_gpu);
elapsed_gpu = (t_diff_gpu.tv_sec*1e6+t_diff_gpu.tv_usec);
printf("GPU took %d microseconds (%.2fms)\n", elapsed_gpu, elapsed_gpu/1000.0);
//Time for serial on cpu
timeval_substract(&t_diff_cpu, &t_end_cpu, &t_start_cpu);
elapsed_cpu = (t_diff_cpu.tv_sec*1e6+t_diff_cpu.tv_usec);
printf("CPU took %d microseconds (%.2fms)\n", elapsed_cpu, elapsed_cpu/1000.0);
//clean-up memory
free(h_in);
free(cpu_res);
free(gpu_res);
cudaFree(d_in);
cudaFree(d_out);
return 0;
} |
9,872 | #include <stdio.h>
#include <assert.h>
#include <iostream>
#include <cuda.h>
#include <cstring>
#define N 16
inline cudaError_t checkCuda(cudaError_t result)
{
if (result != cudaSuccess) {
fprintf(stderr, "CUDA Runtime Error: %s\n", cudaGetErrorString(result));
//assert(result == cudaSuccess);
}
return result;
}
inline void codeFlowControl(std::string s){
std::cout << s << std::endl;
}
__global__
void matrixMulGPU( int *a, int *b, int *c,
int row_1, int col_1,
int row_2, int col_2)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
int idy = threadIdx.y + blockIdx.y * blockDim.y;
int total = 0;
if(idx < row_1 && idy < col_2 && row_1 == col_2){
total = 0;
for(int runner = 0; runner < row_1; runner++){
total += a[idx * row_1 + runner] * b[idy + runner * row_2];
}
c[idx * row_1 + idy] = total;
}
}
__global__
void initMatrices(int *a, int *b, int *c,
int row_a, int row_b, int row_c,
int col_a, int col_b, int col_c,
int val_a, int val_b, int val_c){
int idx = threadIdx.x + blockIdx.x * blockDim.x;
int idy = threadIdx.y + blockIdx.y * blockDim.y;
int idz = threadIdx.z + blockIdx.z * blockDim.z;
if(idx < row_a * col_a && idy < row_b * col_b && idz < row_c * col_c){
a[idx] = val_a;
b[idy] = val_b;
c[idz] = val_c;
}
}
void matrixMulCPU(int *a, int *b, int *c){
int sum = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
for (int k = 0; k < N; k++) {
sum += a[k + i * N] * b[j + k * N];
}
c[i*N + j] = sum;
sum = 0;
}
}
}
int main()
{
/*************************************SQUARE_GPU_MALLOC****************************************************/
int *a, *b, *c_cpu, *c_gpu; // Allocate a solution matrix for both the CPU and the GPU operations
int size = N * N * sizeof (int); // Number of bytes of an N x N matrix
checkCuda(cudaMallocManaged (&a, size));
checkCuda(cudaMallocManaged (&b, size));
checkCuda(cudaMallocManaged (&c_cpu, size));
checkCuda(cudaMallocManaged (&c_gpu, size));
/*Sequential Initialization*/
for( int row = 0; row < N; ++row )
for( int col = 0; col < N; ++col )
{
a[row*N + col] = 2;//row;
b[row*N + col] = 3;//col+2;
c_cpu[row*N + col] = 0;
c_gpu[row*N + col] = 0;
}
/**********************************************************************************************************/
/************************************MAX_THREAD_COUNT_LEARNING*********************************************/
int device;
cudaGetDevice(&device);
struct cudaDeviceProp properties;
cudaGetDeviceProperties(&properties, device);
std::cout<<"using "<<properties.multiProcessorCount<<" multiprocessors"<<std::endl;
std::cout<<"max threads per processor: "<<properties.maxThreadsPerMultiProcessor<<std::endl;
/***********************************************************************************************************/
/***********************************INITIALIZE_WITH_GPU*****************************************************/
int row_a = N, col_a = N, row_b = N, col_b = N, row_c = N, col_c = N; //row col size of matrices
int *a_gpu, *b_gpu, *c_gpu_2;
int size_a = row_a * col_a * sizeof(int);
int size_b = row_b * col_b * sizeof(int);
int size_c = row_c * col_c * sizeof(int);
//Allocate memory for different size arrays
size_t init_thread_size = N/2;
size_t block_count_a = N / init_thread_size;//ceil((row_a * col_a + init_thread_size - 1) / init_thread_size);
size_t block_count_b = N / init_thread_size; //ceil((row_b * col_b + init_thread_size - 1) / init_thread_size);
size_t block_count_c = N / init_thread_size;//ceil((row_c * col_c + init_thread_size - 1) / init_thread_size);
checkCuda(cudaMallocManaged (&a_gpu, size_a));
checkCuda(cudaMallocManaged (&b_gpu, size_b));
checkCuda(cudaMallocManaged (&c_gpu_2, size_c));
dim3 threads_per_block_init(init_thread_size, init_thread_size, init_thread_size);
dim3 number_of_blocks_init(block_count_a, block_count_b, block_count_c);
initMatrices<<<number_of_blocks_init, threads_per_block_init>>>(a_gpu, b_gpu, c_gpu_2, row_a, row_b, row_c, col_a, col_b, col_c, 2, 3, 0);
checkCuda(cudaGetLastError());
codeFlowControl("Stage-1");
checkCuda(cudaDeviceSynchronize());
codeFlowControl("Stage-2");
/*****************************************************************************************************/
size_t thread_in_block = N/2;
size_t block_in_grid = N / thread_in_block;
dim3 threads_per_block(thread_in_block, thread_in_block);
dim3 number_of_blocks(block_in_grid, block_in_grid);
matrixMulGPU<<<number_of_blocks, threads_per_block>>>(a,b,c_gpu, N,N,N,N);
//matrixMulGPU<<<number_of_blocks, threads_per_block>>>(a_gpu, b_gpu, c_gpu_2, row_a, col_a, row_b, col_b);
codeFlowControl("Stage-3");
checkCuda(cudaGetLastError());
codeFlowControl("Stage-4");
checkCuda(cudaDeviceSynchronize());
codeFlowControl("END");
// Call the CPU version to check our work
//matrixMulCPU( a, b, c_cpu );
matrixMulCPU(a, b, c_cpu);
// Compare the two answers to make sure they are equal
bool error = false;
for( int row = 0; row < N && !error; ++row )
for( int col = 0; col < N && !error; ++col )
if (c_cpu[row * N + col] != c_gpu[row * N + col])
{
printf("FOUND ERROR at c[%d][%d] value : %d expected : %d\n", row, col, c_gpu[row * N + col], c_cpu[row * N + col]);
error = true;
break;
}
if (!error)
printf("Success!\n");
// Free all our allocated memory
checkCuda(cudaFree(a));
checkCuda(cudaFree(b));
checkCuda(cudaFree( c_cpu ));
checkCuda(cudaFree( c_gpu ));
}
|
9,873 |
#include <stdio.h>
#include <cuda.h>
#define SIM_THREADS 10 // how many simultaneus threads
#define N 20 // number of variables in a vector
// this function returns a result
__global__ void dummyFunct(float *pResult)
{
int i;
float previous = 0.0;
pResult[0] = 0.0;
// this loop will do sequences:
// i = 0, 10, 20, ...
// i = 1, 11, 21, ...
// i = 2, 12, 22, ...
// ...
// i = 9, 19, 29, ...
//
// assuming SIM_THREADS = 10
for ( i = threadIdx.x; // start from i = thread ID
i < N; // stop if all i's are done
i += SIM_THREADS) // skip number of threads
pResult[i] = previous + i;
previous = pResult[i];
}
int main(void)
{
float *pHostResult;
float *pCudaResult = 0;
int i;
// reserve memory in host system
pHostResult = (float *) malloc(N*sizeof(pHostResult[0]));
// reserve memory in cuda
cudaMalloc((void **) &pCudaResult, N*sizeof(pCudaResult[0]));
dummyFunct<<<1,SIM_THREADS>>>(pCudaResult);
// copy result from cuda to host
cudaMemcpy( pHostResult, // destination
pCudaResult, // source
N*sizeof(pCudaResult[0]), // amount to copy
cudaMemcpyDeviceToHost); // type: device -> host
for (i = 0; i < N; i++)
printf("%f\n", pHostResult[i]);
}
|
9,874 | float h_A[]= {
0.6499527495355216, 0.8211693394439448, 0.9451087800254314, 0.6430080974234846, 0.6716458423503407, 0.7505123648737828, 0.8099331100360283, 0.7519447919853102, 0.9286310251362654, 0.7220199899353144, 0.9536333581206227, 0.6102545292088352, 0.8816139524010416, 0.5459407242705157, 0.5879602289151908, 0.6991142008384506, 0.6257533320215245, 0.6340710229311441, 0.7477168294499167, 0.9468903268920447, 0.8737323402313513, 0.6366768583352269, 0.7254089074618061, 0.7002730017780114, 0.9855191572655673, 0.9383313592435227, 0.5048323552114595, 0.5711084097325605, 0.7527466393756946, 0.900205658567635, 0.7680868922845001, 0.5826807559051488, 0.9469454431817664, 0.7415270624487875, 0.7979908226627983, 0.6524203142382695, 0.8963300006711699, 0.6366780082909294, 0.5387687311090692, 0.7183688351829406, 0.7913601637624144, 0.6488170332814955, 0.5076781407228659, 0.8354819542342401, 0.777252082172011, 0.6499495046756796, 0.6987614355272405, 0.5092220999538455, 0.9527106552433233, 0.9706445372247174, 0.6614805521151841, 0.7713437416682141, 0.9152522763574606, 0.9795013401001181, 0.883306637765068, 0.7166691037415781, 0.5145436233307478, 0.8563113405446037, 0.5771130036290091, 0.7042625669499132, 0.6261992633461431, 0.9232954334959085, 0.7957908858913596, 0.6488900128581279, 0.7769894072083834, 0.6923549084763305, 0.6271818847934861, 0.8661036569420063, 0.8872175122470068, 0.9593313684838891, 0.6626500179873088, 0.8900224542967319, 0.6630188102062747, 0.6185807516529895, 0.7077146937290316, 0.7217846296424573, 0.6704380278811439, 0.6415264690777629, 0.9423251727771595, 0.9045854454585669, 0.7505833930422539, 0.8224285460394984, 0.9871198130441421, 0.5810257378692882, 0.535426380258597, 0.6040934201358863, 0.5135915669769582, 0.6090441341476229, 0.7350327322979409, 0.968661672622733, 0.7810990104212157, 0.6607270300786596, 0.7151806792242956, 0.7027861540335143, 0.8643882819802797, 0.991206911517803, 0.5905234803772281, 0.9235006233575148, 0.69534625934601, 0.757840267832681, 0.5400548385898662, 0.533225346352609, 0.754337006927922, 0.8541060217431486, 0.9513809863387872, 0.789586515887766, 0.6812082641951733, 0.9518705233213316, 0.6629865318452535, 0.7977521673893626, 0.8172232751724806, 0.7390554269757679, 0.5898160426987977, 0.6010740181290279, 0.8949410133599147, 0.7946997323512978, 0.927446261686979, 0.6705794947207746, 0.5684596712936223, 0.5902427854173251, 0.8988878378414367, 0.8480582053276156, 0.8620749790066667, 0.7582802794592206, 0.7640581626678358, 0.7587762467684116, 0.6676233352377692, 0.7063110867358865, 0.7688256170049307, 0.8357963044855719, 0.8867641971952054, 0.982622306718419, 0.5228787886381682, 0.9104265175943461, 0.7893679039557417, 0.5109310135879015, 0.8554404822141437, 0.788142061508505, 0.909818560776549, 0.5600382312127814, 0.7875339965439487, 0.5715829040633345, 0.8570430862014542, 0.6750201844863275, 0.6402509330467268, 0.641195458453214, 0.6099299138630977, 0.896266109884964, 0.9039007758137825, 0.8537887028579727, 0.8301498769569466, 0.7922157868986104, 0.9672517765306161, 0.5418136307430188, 0.7890504083781993, 0.6182943141654523, 0.5393653952973421, 0.6157556381065391, 0.6974296311532676, 0.8164875049135261, 0.5342896922768176, 0.5240941622060064, 0.8093797753383394, 0.5244766999701133, 0.9969764282837446, 0.6910634244133063, 0.5626988099983284, 0.7473650501820596, 0.6558473998122007, 0.6174033981633125, 0.7248085067735323, 0.7619186692817085, 0.7310160186257891, 0.7103906727667072, 0.6830854063610181, 0.8389462401340384, 0.7832450649824064, 0.518734656240387, 0.5009782739264805, 0.9020524161846732, 0.5380841048832372, 0.8881888451412552, 0.9768525903709729, 0.5619207983479753, 0.5885117453074558, 0.9216109562447483, 0.7651935667704585, 0.7215444682318042, 0.857990396415647, 0.6159473444912424, 0.6177459307337536, 0.7783375222388236, 0.5220112332904856, 0.792636954420094, 0.9771846094895689, 0.7178514365128893, 0.5097032220188379, 0.7924625184180238, 0.6711126909203131, 0.8069764499349279, 0.5523433483715144, 0.6588664096673666, 0.7581408730468211, 0.6797941242402201, 0.9864339577904429, 0.6215686081583891, 0.7641889929560054, 0.6064274146103035, 0.9604793149395912, 0.6017056829180658, 0.8273346056607924, 0.5883876635634231, 0.580460671034659, 0.6793141192209569, 0.9115079094173387, 0.6036623993831645, 0.6495412914245434, 0.9521537265739084, 0.944270714029248, 0.7785415075031246, 0.5151644481342128, 0.5003746187925657, 0.6889209522223596, 0.9944174352015482, 0.6577278115106526, 0.7064544481185953, 0.7642426022463504, 0.5631705551993641, 0.7471966968253209, 0.9108585590521978, 0.8120347342881814, 0.6068238642326034, 0.9177308598752341, 0.5128979834388158, 0.9581876203735156, 0.7756655115688245, 0.5343908825122998, 0.9810701194614578, 0.6399814847397669, 0.9053385182147504, 0.9042180685972816, 0.5119505406357117, 0.9886642831597017, 0.9874882731488938, 0.6077466056371583, 0.9165792301773728, 0.7957281244274534, 0.870201974578517, 0.6112876328567329, 0.7086092243439849, 0.991478394278303, 0.6106547813501038, 0.5760533632007272, 0.8579004204197851, 0.5528472372786348, 0.6758554814763174, 0.5415801585674889, 0.9214383698944251, 0.9717497008805693, 0.618365329952264, 0.9602710809606737, 0.7640636773529457, 0.5613721545175373, 0.6397045101495564, 0.5720121395424846, 0.8556151709047388, 0.8824151895542722, 0.7356746161324715, 0.9256863316357609, 0.9532668426673816, 0.8785241357506153, 0.9598555220476841, 0.7766685760969596, 0.5156321414597486, 0.5199970740527502, 0.5073913353564017, 0.6023727647762496, 0.8685334229517725, 0.870065715537252, 0.5570824438218585, 0.9486916270564765, 0.856061817070382, 0.9954261816263579, 0.6960365276146456, 0.5230883663669808, 0.9479347472718247, 0.9221223130128458, 0.8235429965606604, 0.7528839027333265, 0.8099364156690968, 0.7771191361447167, 0.5214800284250786, 0.9481441761644216, 0.618357416975966, 0.6810681493465385, 0.9815316303998634, 0.6919360225119628, 0.9817955296792629, 0.663162770575005, 0.8071266910124036, 0.9145016062009821, 0.6520769607463861, 0.5415988609650876, 0.8814713521402201, 0.664889095732667, 0.7311416008028605, 0.9604152219297746, 0.718055659739151, 0.7505436341508644, 0.8259738089875966, 0.6388437276958248, 0.7838165520495038, 0.6618302230848094, 0.9169007923863308, 0.7372657022794669, 0.9139215181235887, 0.7253308372844129, 0.5101308128109796, 0.5732866021420687, 0.9650343918076485, 0.9547796643698724, 0.6397557202206391, 0.5690605702785874, 0.9964278313768582, 0.9000711488184605, 0.6658264431836491, 0.8904818110003241, 0.9054511697109344, 0.895544249745415, 0.8848460863632062, 0.7813836415193045, 0.8879649508644555, 0.6099187838898497, 0.6710910288693266, 0.7405248170172505, 0.869632763787803, 0.6896352108271138, 0.6416700954352984, 0.5791030616142567, 0.9989282603354117, 0.863018822298343, 0.8407059785254413, 0.6791168449741329, 0.9945725178183893, 0.645601816920965, 0.9622338484750235, 0.8154148842717955, 0.8502422257608577, 0.840280605463354, 0.6775752610796473, 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0.7889900514663419, 0.734032923809597, 0.6166791430443408, 0.9938115226763529, 0.5967491459228682, 0.6246243717695609, 0.756411762179153, 0.7593264961199881, 0.9756165087673064, 0.8913660570615911, 0.7503363554120599, 0.9331076229169657, 0.7300789792593335, 0.6885148630388322, 0.8273932945604526, 0.5585373833014081, 0.7168104636405048, 0.6760848740611296, 0.5564730800546087, 0.9557794872216098, 0.9692377745693093, 0.5907740749986821, 0.716258721534406, 0.5987910117871985, 0.9360695819611622, 0.7442939518342253, 0.519663764992167, 0.6934552101444242, 0.7201902674698681, 0.5232716273474747, 0.9909715508080958, 0.6819819196473091, 0.7553762353068527, 0.697770723803409, 0.7981113904665056, 0.8096667057946625, 0.648270529398467, 0.7208443390380526, 0.9376207315427785, 0.807837320229736, 0.7899823956929903, 0.6532173701245094, 0.7364858780112528, 0.8594851942443694, 0.5058848737245194, 0.8962877812112027, 0.670226054138266, 0.6795141052310444, 0.8412020632584831, 0.9793070590818747, 0.7594255472927275, 0.6112095372274212, 0.5055335987117482, 0.9560615187219925, 0.9764614524995127, 0.7853550768025479, 0.8833393156392175, 0.8382127969454496, 0.6226261236696771, 0.7502156622061109, 0.671345028905947, 0.9280371952468814, 0.904158686682748, 0.6427779604384947, 0.7242865698590235, 0.9615527498426275, 0.5449219264383327, 0.8029944906696482, 0.8665715721944065, 0.6462843743895714, 0.8163379849454497, 0.7720067660860159, 0.6484322195198384, 0.5194803161167165, 0.5759390359760862, 0.7063850152807356, 0.8397253005424922, 0.7265521785595954, 0.5519562815457466, 0.8941734286501024, 0.9377614107563086, 0.5402091328049591, 0.9273613459614218, 0.9264720012746206, 0.8889964645189216, 0.5524431762441409, 0.7462295644562174, 0.9797556434771233, 0.5450747549613691, 0.7141066398193159, 0.8085137107469337, 0.9114963043631736, 0.9959764160433247, 0.7235232062836683, 0.830544994066521, 0.8354492473821042, 0.5593692712598923, 0.9025088098528355, 0.9307778788857206, 0.5389565147005431, 0.8829457909376046, 0.7871004087865006, 0.7765865421116953, 0.5498999716364736, 0.6402629826601133, 0.7301353749032151, 0.7964941099878319, 0.5824946478525808, 0.6957731662877473, 0.593797446164687, 0.9199609168948648, 0.923387722365923, 0.9216134655124115, 0.8004698498826952, 0.6060413598955525, 0.6898611424502135, 0.5040030379832989, 0.7776577085215217, 0.667523748600277, 0.5077000830537988, 0.5801619993968485, 0.5324153566213377, 0.7332152256218851, 0.5237772929303115, 0.5354469382386462, 0.899262469084982, 0.6119293058961203, 0.7219825318431073, 0.838721269710927, 0.6716235602243527, 0.7232625944980269, 0.8295790662589245, 0.8761992353819985, 0.9413285342202535, 0.8941703737773716, 0.606904435363272, 0.6125642617591168, 0.6401005391205765, 0.7298232722086598, 0.9803254422384069, 0.8382785191246356, 0.6271900916494926, 0.6772078522427931, 0.690863624996662, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0, 50000.0};
int h_B[]= {
0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898, 900, 902, 904, 906, 908, 910, 912, 914, 916, 918, 920, 922, 924, 926, 928, 930, 932, 934, 936, 938, 940, 942, 944, 946, 948, 950, 952, 954, 956, 958, 960, 962, 964, 966, 968, 970, 972, 974, 976, 978, 980, 982, 984, 986, 988, 990, 992, 994, 996, 998, 1000, 1002, 1004, 1006, 1008, 1010, 1012, 1014, 1016, 1018, 1020, 1022, 1024, 1026, 1028, 1030, 1032, 1034, 1036, 1038, 1040, 1042, 1044, 1046, 1048, 1050, 1052, 1054, 1056, 1058, 1060, 1062, 1064, 1066, 1068, 1070, 1072, 1074, 1076, 1078, 1080, 1082, 1084, 1086, 1088, 1090, 1092, 1094, 1096, 1098, 1100, 1102, 1104, 1106, 1108, 1110, 1112, 1114, 1116, 1118, 1120, 1122, 1124, 1126, 1128, 1130, 1132, 1134, 1136, 1138, 1140, 1142, 1144, 1146, 1148, 1150, 1152, 1154, 1156, 1158, 1160, 1162, 1164, 1166, 1168, 1170, 1172, 1174, 1176, 1178, 1180, 1182, 1184, 1186, 1188, 1190, 1192, 1194, 1196, 1198, 1200, 1202, 1204, 1206, 1208, 1210, 1212, 1214, 1216, 1218, 1220, 1222, 1224, 1226, 1228, 1230, 1232, 1234, 1236, 1238, 1240, 1242, 1244, 1246, 1248, 1250, 1252, 1254, 1256, 1258, 1260, 1262, 1264, 1266, 1268, 1270, 1272, 1274, 1276, 1278, 1280, 1282, 1284, 1286, 1288, 1290, 1292, 1294, 1296, 1298, 1300, 1302, 1304, 1306, 1308, 1310, 1312, 1314, 1316, 1318, 1320, 1322, 1324, 1326, 1328, 1330, 1332, 1334, 1336, 1338, 1340, 1342, 1344, 1346, 1348, 1350, 1352, 1354, 1356, 1358, 1360, 1362, 1364, 1366, 1368, 1370, 1372, 1374, 1376, 1378, 1380, 1382, 1384, 1386, 1388, 1390, 1392, 1394, 1396, 1398, 1400, 1402, 1404, 1406, 1408, 1410, 1412, 1414, 1416, 1418, 1420, 1422, 1424, 1426, 1428, 1430, 1432, 1434, 1436, 1438, 1440, 1442, 1444, 1446, 1448, 1450, 1452, 1454, 1456, 1458, 1460, 1462, 1464, 1466, 1468, 1470, 1472, 1474, 1476, 1478, 1480, 1482, 1484, 1486, 1488, 1490, 1492, 1494, 1496, 1498, 1500, 1502, 1504, 1506, 1508, 1510, 1512, 1514, 1516, 1518, 1520, 1522, 1524, 1526, 1528, 1530, 1532, 1534, 1536, 1538, 1540, 1542, 1544, 1546, 1548, 1550, 1552, 1554, 1556, 1558, 1560, 1562, 1564, 1566, 1568, 1570, 1572, 1574, 1576, 1578, 1580, 1582, 1584, 1586, 1588, 1590, 1592, 1594, 1596, 1598, 1600, 1602, 1604, 1606, 1608, 1610, 1612, 1614, 1616, 1618, 1620, 1622, 1624, 1626, 1628, 1630, 1632, 1634, 1636, 1638, 1640, 1642, 1644, 1646, 1648, 1650, 1652, 1654, 1656, 1658, 1660, 1662, 1664, 1666, 1668, 1670, 1672, 1674, 1676, 1678, 1680, 1682, 1684, 1686, 1688, 1690, 1692, 1694, 1696, 1698, 1700, 1702, 1704, 1706, 1708, 1710, 1712, 1714, 1716, 1718, 1720, 1722, 1724, 1726, 1728, 1730, 1732, 1734, 1736, 1738, 1740, 1742, 1744, 1746, 1748, 1750, 1752, 1754, 1756, 1758, 1760, 1762, 1764, 1766, 1768, 1770, 1772, 1774, 1776, 1778, 1780, 1782, 1784, 1786, 1788, 1790, 1792, 1794, 1796, 1798, 1800, 1802, 1804, 1806, 1808, 1810, 1812, 1814, 1816, 1818, 1820, 1822, 1824, 1826, 1828, 1830, 1832, 1834, 1836, 1838, 1840, 1842, 1844, 1846, 1848, 1850, 1852, 1854, 1856, 1858, 1860, 1862, 1864, 1866, 1868, 1870, 1872, 1874, 1876, 1878, 1880, 1882, 1884, 1886, 1888, 1890, 1892, 1894, 1896, 1898, 1900, 1902, 1904, 1906, 1908, 1910, 1912, 1914, 1916, 1918, 1920, 1922, 1924, 1926, 1928, 1930, 1932, 1934, 1936, 1938, 1940, 1942, 1944, 1946, 1948, 1950, 1952, 1954, 1956, 1958, 1960, 1962, 1964, 1966, 1968, 1970, 1972, 1974, 1976, 1978, 1980, 1982, 1984, 1986, 1988, 1990, 1992, 1994, 1996, 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018, 2020, 2022, 2024, 2026, 2028, 2030, 2032, 2034, 2036, 2038, 2040, 2042, 2044, 2046, 2048, 2050, 2052, 2054, 2056, 2058, 2060, 2062, 2064, 2066, 2068, 2070, 2072, 2074, 2076, 2078, 2080, 2082, 2084, 2086, 2088, 2090, 2092, 2094, 2096, 2098, 2100, 2102, 2104, 2106, 2108, 2110, 2112, 2114, 2116, 2118, 2120, 2122, 2124, 2126, 2128, 2130, 2132, 2134, 2136, 2138, 2140, 2142, 2144, 2146, 2148, 2150, 2152, 2154, 2156, 2158, 2160, 2162, 2164, 2166, 2168, 2170, 2172, 2174, 2176, 2178, 2180, 2182, 2184, 2186, 2188, 2190, 2192, 2194, 2196, 2198, 2200, 2202, 2204, 2206, 2208, 2210, 2212, 2214, 2216, 2218, 2220, 2222, 2224, 2226, 2228, 2230, 2232, 2234, 2236, 2238, 2240, 2242, 2244, 2246, 2248, 2250, 2252, 2254, 2256, 2258, 2260, 2262, 2264, 2266, 2268, 2270, 2272, 2274, 2276, 2278, 2280, 2282, 2284, 2286, 2288, 2290, 2292, 2294, 2296, 2298, 2300, 2302, 2304, 2306, 2308, 2310, 2312, 2314, 2316, 2318, 2320, 2322, 2324, 2326, 2328, 2330, 2332, 2334, 2336, 2338, 2340, 2342, 2344, 2346, 2348, 2350, 2352, 2354, 2356, 2358, 2360, 2362, 2364, 2366, 2368, 2370, 2372, 2374, 2376, 2378, 2380, 2382, 2384, 2386, 2388, 2390, 2392, 2394, 2396, 2398, 2400, 2402, 2404, 2406, 2408, 2410, 2412, 2414, 2416, 2418, 2420, 2422, 2424, 2426, 2428, 2430, 2432, 2434, 2436, 2438, 2440, 2442, 2444, 2446, 2448, 2450, 2452, 2454, 2456, 2458, 2460, 2462, 2464, 2466, 2468, 2470, 2472, 2474, 2476, 2478, 2480, 2482, 2484, 2486, 2488, 2490, 2492, 2494, 2496, 2498, 2500, 2502, 2504, 2506, 2508, 2510, 2512, 2514, 2516, 2518, 2520, 2522, 2524, 2526, 2528, 2530, 2532, 2534, 2536, 2538, 2540, 2542, 2544, 2546, 2548, 2550, 2552, 2554, 2556, 2558, 2560, 2562, 2564, 2566, 2568, 2570, 2572, 2574, 2576, 2578, 2580, 2582, 2584, 2586, 2588, 2590, 2592, 2594, 2596, 2598, 2600, 2602, 2604, 2606, 2608, 2610, 2612, 2614, 2616, 2618, 2620, 2622, 2624, 2626, 2628, 2630, 2632, 2634, 2636, 2638, 2640, 2642, 2644, 2646, 2648, 2650, 2652, 2654, 2656, 2658, 2660, 2662, 2664, 2666, 2668, 2670, 2672, 2674, 2676, 2678, 2680, 2682, 2684, 2686, 2688, 2690, 2692, 2694, 2696, 2698, 2700, 2702, 2704, 2706, 2708, 2710, 2712, 2714, 2716, 2718, 2720, 2722, 2724, 2726, 2728, 2730, 2732, 2734, 2736, 2738, 2740, 2742, 2744, 2746, 2748, 2750, 2752, 2754, 2756, 2758, 2760, 2762, 2764, 2766, 2768, 2770, 2772, 2774, 2776, 2778, 2780, 2782, 2784, 2786, 2788, 2790, 2792, 2794, 2796, 2798, 2800, 2802, 2804, 2806, 2808, 2810, 2812, 2814, 2816, 2818, 2820, 2822, 2824, 2826, 2828, 2830, 2832, 2834, 2836, 2838, 2840, 2842, 2844, 2846, 2848, 2850, 2852, 2854, 2856, 2858, 2860, 2862, 2864, 2866, 2868, 2870, 2872, 2874, 2876, 2878, 2880, 2882, 2884, 2886, 2888, 2890, 2892, 2894, 2896, 2898, 2900, 2902, 2904, 2906, 2908, 2910, 2912, 2914, 2916, 2918, 2920, 2922, 2924, 2926, 2928, 2930, 2932, 2934, 2936, 2938, 2940, 2942, 2944, 2946, 2948, 2950, 2952, 2954, 2956, 2958, 2960, 2962, 2964, 2966, 2968, 2970, 2972, 2974, 2976, 2978, 2980, 2982, 2984, 2986, 2988, 2990, 2992, 2994, 2996, 2998, 3000, 3002, 3004, 3006, 3008, 3010, 3012, 3014, 3016, 3018, 3020, 3022, 3024, 3026, 3028, 3030, 3032, 3034, 3036, 3038, 3040, 3042, 3044, 3046, 3048, 3050, 3052, 3054, 3056, 3058, 3060, 3062, 3064, 3066, 3068, 3070, 3072, 3074, 3076, 3078, 3080, 3082, 3084, 3086, 3088, 3090, 3092, 3094, 3096, 3098, 3100, 3102, 3104, 3106, 3108, 3110, 3112, 3114, 3116, 3118, 3120, 3122, 3124, 3126, 3128, 3130, 3132, 3134, 3136, 3138, 3140, 3142, 3144, 3146, 3148, 3150, 3152, 3154, 3156, 3158, 3160, 3162, 3164, 3166, 3168, 3170, 3172, 3174, 3176, 3178, 3180, 3182, 3184, 3186, 3188, 3190, 3192, 3194, 3196, 3198, 3200, 3202, 3204, 3206, 3208, 3210, 3212, 3214, 3216, 3218, 3220, 3222, 3224, 3226, 3228, 3230, 3232, 3234, 3236, 3238, 3240, 3242, 3244, 3246, 3248, 3250, 3252, 3254, 3256, 3258, 3260, 3262, 3264, 3266, 3268, 3270, 3272, 3274, 3276, 3278, 3280, 3282, 3284, 3286, 3288, 3290, 3292, 3294, 3296, 3298, 3300, 3302, 3304, 3306, 3308, 3310, 3312, 3314, 3316, 3318, 3320, 3322, 3324, 3326, 3328, 3330, 3332, 3334, 3336, 3338, 3340, 3342, 3344, 3346, 3348, 3350, 3352, 3354, 3356, 3358, 3360, 3362, 3364, 3366, 3368, 3370, 3372, 3374, 3376, 3378, 3380, 3382, 3384, 3386, 3388, 3390, 3392, 3394, 3396, 3398, 3400, 3402, 3404, 3406, 3408, 3410, 3412, 3414, 3416, 3418, 3420, 3422, 3424, 3426, 3428, 3430, 3432, 3434, 3436, 3438, 3440, 3442, 3444, 3446, 3448, 3450, 3452, 3454, 3456, 3458, 3460, 3462, 3464, 3466, 3468, 3470, 3472, 3474, 3476, 3478, 3480, 3482, 3484, 3486, 3488, 3490, 3492, 3494, 3496, 3498, 3500, 3502, 3504, 3506, 3508, 3510, 3512, 3514, 3516, 3518, 3520, 3522, 3524, 3526, 3528, 3530, 3532, 3534, 3536, 3538, 3540, 3542, 3544, 3546, 3548, 3550, 3552, 3554, 3556, 3558, 3560, 3562, 3564, 3566, 3568, 3570, 3572, 3574, 3576, 3578, 3581, 3583, 3585, 3587, 3590, 3592, 3594, 3596, 3598, 3600, 3602, 3604, 3606, 3608, 3610, 3612, 3614, 3616, 3618, 3620, 3622, 3624, 3626, 3628, 3630, 3632, 3634, 3636, 3638, 3640, 3642, 3644, 3646, 3648, 3650, 3652, 3654, 3656, 3658, 3660, 3662, 3664, 3666, 3668, 3670, 3672, 3674, 3676, 3678, 3680, 3682, 3684, 3686, 3688, 3690, 3692, 3694, 3696, 3698, 3700, 3702, 3704, 3706, 3708, 3710, 3712, 3714, 3716, 3718, 3720, 3722, 3724, 3726, 3728, 3730, 3732, 3734, 3736, 3738, 3740, 3742, 3744, 3746, 3748, 3750, 3752, 3754, 3756, 3758, 3760, 3762, 3764, 3766, 3768, 3770, 3772, 3774, 3776, 3778, 3780, 3782, 3784, 3786, 3788, 3790, 3792, 3794, 3796, 3798, 3800, 3802, 3804, 3806, 3808, 3810, 3812, 3814, 3816, 3818, 3820, 3822, 3824, 3826, 3828, 3830, 3832, 3834, 3836, 3838, 3840, 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11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18881, 7552, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18913, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18912, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
int h_C[]= {
1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99, 101, 103, 105, 107, 109, 111, 113, 115, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 149, 151, 153, 155, 157, 159, 161, 163, 165, 167, 169, 171, 173, 175, 177, 179, 181, 183, 185, 187, 189, 191, 193, 195, 197, 199, 201, 203, 205, 207, 209, 211, 213, 215, 217, 219, 221, 223, 225, 227, 229, 231, 233, 235, 237, 239, 241, 243, 245, 247, 249, 251, 253, 255, 257, 259, 261, 263, 265, 267, 269, 271, 273, 275, 277, 279, 281, 283, 285, 287, 289, 291, 293, 295, 297, 299, 301, 303, 305, 307, 309, 311, 313, 315, 317, 319, 321, 323, 325, 327, 329, 331, 333, 335, 337, 339, 341, 343, 345, 347, 349, 351, 353, 355, 357, 359, 361, 363, 365, 367, 369, 371, 373, 375, 377, 379, 381, 383, 385, 387, 389, 391, 393, 395, 397, 399, 401, 403, 405, 407, 409, 411, 413, 415, 417, 419, 421, 423, 425, 427, 429, 431, 433, 435, 437, 439, 441, 443, 445, 447, 449, 451, 453, 455, 457, 459, 461, 463, 465, 467, 469, 471, 473, 475, 477, 479, 481, 483, 485, 487, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507, 509, 511, 513, 515, 517, 519, 521, 523, 525, 527, 529, 531, 533, 535, 537, 539, 541, 543, 545, 547, 549, 551, 553, 555, 557, 559, 561, 563, 565, 567, 569, 571, 573, 575, 577, 579, 581, 583, 585, 587, 589, 591, 593, 595, 597, 599, 601, 603, 605, 607, 609, 611, 613, 615, 617, 619, 621, 623, 625, 627, 629, 631, 633, 635, 637, 639, 641, 643, 645, 647, 649, 651, 653, 655, 657, 659, 661, 663, 665, 667, 669, 671, 673, 675, 677, 679, 681, 683, 685, 687, 689, 691, 693, 695, 697, 699, 701, 703, 705, 707, 709, 711, 713, 715, 717, 719, 721, 723, 725, 727, 729, 731, 733, 735, 737, 739, 741, 743, 745, 747, 749, 751, 753, 755, 757, 759, 761, 763, 765, 767, 769, 771, 773, 775, 777, 779, 781, 783, 785, 787, 789, 791, 793, 795, 797, 799, 801, 803, 805, 807, 809, 811, 813, 815, 817, 819, 821, 823, 825, 827, 829, 831, 833, 835, 837, 839, 841, 843, 845, 847, 849, 851, 853, 855, 857, 859, 861, 863, 865, 867, 869, 871, 873, 875, 877, 879, 881, 883, 885, 887, 889, 891, 893, 895, 897, 899, 901, 903, 905, 907, 909, 911, 913, 915, 917, 919, 921, 923, 925, 927, 929, 931, 933, 935, 937, 939, 941, 943, 945, 947, 949, 951, 953, 955, 957, 959, 961, 963, 965, 967, 969, 971, 973, 975, 977, 979, 981, 983, 985, 987, 989, 991, 993, 995, 997, 999, 1001, 1003, 1005, 1007, 1009, 1011, 1013, 1015, 1017, 1019, 1021, 1023, 1025, 1027, 1029, 1031, 1033, 1035, 1037, 1039, 1041, 1043, 1045, 1047, 1049, 1051, 1053, 1055, 1057, 1059, 1061, 1063, 1065, 1067, 1069, 1071, 1073, 1075, 1077, 1079, 1081, 1083, 1085, 1087, 1089, 1091, 1093, 1095, 1097, 1099, 1101, 1103, 1105, 1107, 1109, 1111, 1113, 1115, 1117, 1119, 1121, 1123, 1125, 1127, 1129, 1131, 1133, 1135, 1137, 1139, 1141, 1143, 1145, 1147, 1149, 1151, 1153, 1155, 1157, 1159, 1161, 1163, 1165, 1167, 1169, 1171, 1173, 1175, 1177, 1179, 1181, 1183, 1185, 1187, 1189, 1191, 1193, 1195, 1197, 1199, 1201, 1203, 1205, 1207, 1209, 1211, 1213, 1215, 1217, 1219, 1221, 1223, 1225, 1227, 1229, 1231, 1233, 1235, 1237, 1239, 1241, 1243, 1245, 1247, 1249, 1251, 1253, 1255, 1257, 1259, 1261, 1263, 1265, 1267, 1269, 1271, 1273, 1275, 1277, 1279, 1281, 1283, 1285, 1287, 1289, 1291, 1293, 1295, 1297, 1299, 1301, 1303, 1305, 1307, 1309, 1311, 1313, 1315, 1317, 1319, 1321, 1323, 1325, 1327, 1329, 1331, 1333, 1335, 1337, 1339, 1341, 1343, 1345, 1347, 1349, 1351, 1353, 1355, 1357, 1359, 1361, 1363, 1365, 1367, 1369, 1371, 1373, 1375, 1377, 1379, 1381, 1383, 1385, 1387, 1389, 1391, 1393, 1395, 1397, 1399, 1401, 1403, 1405, 1407, 1409, 1411, 1413, 1415, 1417, 1419, 1421, 1423, 1425, 1427, 1429, 1431, 1433, 1435, 1437, 1439, 1441, 1443, 1445, 1447, 1449, 1451, 1453, 1455, 1457, 1459, 1461, 1463, 1465, 1467, 1469, 1471, 1473, 1475, 1477, 1479, 1481, 1483, 1485, 1487, 1489, 1491, 1493, 1495, 1497, 1499, 1501, 1503, 1505, 1507, 1509, 1511, 1513, 1515, 1517, 1519, 1521, 1523, 1525, 1527, 1529, 1531, 1533, 1535, 1537, 1539, 1541, 1543, 1545, 1547, 1549, 1551, 1553, 1555, 1557, 1559, 1561, 1563, 1565, 1567, 1569, 1571, 1573, 1575, 1577, 1579, 1581, 1583, 1585, 1587, 1589, 1591, 1593, 1595, 1597, 1599, 1601, 1603, 1605, 1607, 1609, 1611, 1613, 1615, 1617, 1619, 1621, 1623, 1625, 1627, 1629, 1631, 1633, 1635, 1637, 1639, 1641, 1643, 1645, 1647, 1649, 1651, 1653, 1655, 1657, 1659, 1661, 1663, 1665, 1667, 1669, 1671, 1673, 1675, 1677, 1679, 1681, 1683, 1685, 1687, 1689, 1691, 1693, 1695, 1697, 1699, 1701, 1703, 1705, 1707, 1709, 1711, 1713, 1715, 1717, 1719, 1721, 1723, 1725, 1727, 1729, 1731, 1733, 1735, 1737, 1739, 1741, 1743, 1745, 1747, 1749, 1751, 1753, 1755, 1757, 1759, 1761, 1763, 1765, 1767, 1769, 1771, 1773, 1775, 1777, 1779, 1781, 1783, 1785, 1787, 1789, 1791, 1793, 1795, 1797, 1799, 1801, 1803, 1805, 1807, 1809, 1811, 1813, 1815, 1817, 1819, 1821, 1823, 1825, 1827, 1829, 1831, 1833, 1835, 1837, 1839, 1841, 1843, 1845, 1847, 1849, 1851, 1853, 1855, 1857, 1859, 1861, 1863, 1865, 1867, 1869, 1871, 1873, 1875, 1877, 1879, 1881, 1883, 1885, 1887, 1889, 1891, 1893, 1895, 1897, 1899, 1901, 1903, 1905, 1907, 1909, 1911, 1913, 1915, 1917, 1919, 1921, 1923, 1925, 1927, 1929, 1931, 1933, 1935, 1937, 1939, 1941, 1943, 1945, 1947, 1949, 1951, 1953, 1955, 1957, 1959, 1961, 1963, 1965, 1967, 1969, 1971, 1973, 1975, 1977, 1979, 1981, 1983, 1985, 1987, 1989, 1991, 1993, 1995, 1997, 1999, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2019, 2021, 2023, 2025, 2027, 2029, 2031, 2033, 2035, 2037, 2039, 2041, 2043, 2045, 2047, 2049, 2051, 2053, 2055, 2057, 2059, 2061, 2063, 2065, 2067, 2069, 2071, 2073, 2075, 2077, 2079, 2081, 2083, 2085, 2087, 2089, 2091, 2093, 2095, 2097, 2099, 2101, 2103, 2105, 2107, 2109, 2111, 2113, 2115, 2117, 2119, 2121, 2123, 2125, 2127, 2129, 2131, 2133, 2135, 2137, 2139, 2141, 2143, 2145, 2147, 2149, 2151, 2153, 2155, 2157, 2159, 2161, 2163, 2165, 2167, 2169, 2171, 2173, 2175, 2177, 2179, 2181, 2183, 2185, 2187, 2189, 2191, 2193, 2195, 2197, 2199, 2201, 2203, 2205, 2207, 2209, 2211, 2213, 2215, 2217, 2219, 2221, 2223, 2225, 2227, 2229, 2231, 2233, 2235, 2237, 2239, 2241, 2243, 2245, 2247, 2249, 2251, 2253, 2255, 2257, 2259, 2261, 2263, 2265, 2267, 2269, 2271, 2273, 2275, 2277, 2279, 2281, 2283, 2285, 2287, 2289, 2291, 2293, 2295, 2297, 2299, 2301, 2303, 2305, 2307, 2309, 2311, 2313, 2315, 2317, 2319, 2321, 2323, 2325, 2327, 2329, 2331, 2333, 2335, 2337, 2339, 2341, 2343, 2345, 2347, 2349, 2351, 2353, 2355, 2357, 2359, 2361, 2363, 2365, 2367, 2369, 2371, 2373, 2375, 2377, 2379, 2381, 2383, 2385, 2387, 2389, 2391, 2393, 2395, 2397, 2399, 2401, 2403, 2405, 2407, 2409, 2411, 2413, 2415, 2417, 2419, 2421, 2423, 2425, 2427, 2429, 2431, 2433, 2435, 2437, 2439, 2441, 2443, 2445, 2447, 2449, 2451, 2453, 2455, 2457, 2459, 2461, 2463, 2465, 2467, 2469, 2471, 2473, 2475, 2477, 2479, 2481, 2483, 2485, 2487, 2489, 2491, 2493, 2495, 2497, 2499, 2501, 2503, 2505, 2507, 2509, 2511, 2513, 2515, 2517, 2519, 2521, 2523, 2525, 2527, 2529, 2531, 2533, 2535, 2537, 2539, 2541, 2543, 2545, 2547, 2549, 2551, 2553, 2555, 2557, 2559, 2561, 2563, 2565, 2567, 2569, 2571, 2573, 2575, 2577, 2579, 2581, 2583, 2585, 2587, 2589, 2591, 2593, 2595, 2597, 2599, 2601, 2603, 2605, 2607, 2609, 2611, 2613, 2615, 2617, 2619, 2621, 2623, 2625, 2627, 2629, 2631, 2633, 2635, 2637, 2639, 2641, 2643, 2645, 2647, 2649, 2651, 2653, 2655, 2657, 2659, 2661, 2663, 2665, 2667, 2669, 2671, 2673, 2675, 2677, 2679, 2681, 2683, 2685, 2687, 2689, 2691, 2693, 2695, 2697, 2699, 2701, 2703, 2705, 2707, 2709, 2711, 2713, 2715, 2717, 2719, 2721, 2723, 2725, 2727, 2729, 2731, 2733, 2735, 2737, 2739, 2741, 2743, 2745, 2747, 2749, 2751, 2753, 2755, 2757, 2759, 2761, 2763, 2765, 2767, 2769, 2771, 2773, 2775, 2777, 2779, 2781, 2783, 2785, 2787, 2789, 2791, 2793, 2795, 2797, 2799, 2801, 2803, 2805, 2807, 2809, 2811, 2813, 2815, 2817, 2819, 2821, 2823, 2825, 2827, 2829, 2831, 2833, 2835, 2837, 2839, 2841, 2843, 2845, 2847, 2849, 2851, 2853, 2855, 2857, 2859, 2861, 2863, 2865, 2867, 2869, 2871, 2873, 2875, 2877, 2879, 2881, 2883, 2885, 2887, 2889, 2891, 2893, 2895, 2897, 2899, 2901, 2903, 2905, 2907, 2909, 2911, 2913, 2915, 2917, 2919, 2921, 2923, 2925, 2927, 2929, 2931, 2933, 2935, 2937, 2939, 2941, 2943, 2945, 2947, 2949, 2951, 2953, 2955, 2957, 2959, 2961, 2963, 2965, 2967, 2969, 2971, 2973, 2975, 2977, 2979, 2981, 2983, 2985, 2987, 2989, 2991, 2993, 2995, 2997, 2999, 3001, 3003, 3005, 3007, 3009, 3011, 3013, 3015, 3017, 3019, 3021, 3023, 3025, 3027, 3029, 3031, 3033, 3035, 3037, 3039, 3041, 3043, 3045, 3047, 3049, 3051, 3053, 3055, 3057, 3059, 3061, 3063, 3065, 3067, 3069, 3071, 3073, 3075, 3077, 3079, 3081, 3083, 3085, 3087, 3089, 3091, 3093, 3095, 3097, 3099, 3101, 3103, 3105, 3107, 3109, 3111, 3113, 3115, 3117, 3119, 3121, 3123, 3125, 3127, 3129, 3131, 3133, 3135, 3137, 3139, 3141, 3143, 3145, 3147, 3149, 3151, 3153, 3155, 3157, 3159, 3161, 3163, 3165, 3167, 3169, 3171, 3173, 3175, 3177, 3179, 3181, 3183, 3185, 3187, 3189, 3191, 3193, 3195, 3197, 3199, 3201, 3203, 3205, 3207, 3209, 3211, 3213, 3215, 3217, 3219, 3221, 3223, 3225, 3227, 3229, 3231, 3233, 3235, 3237, 3239, 3241, 3243, 3245, 3247, 3249, 3251, 3253, 3255, 3257, 3259, 3261, 3263, 3265, 3267, 3269, 3271, 3273, 3275, 3277, 3279, 3281, 3283, 3285, 3287, 3289, 3291, 3293, 3295, 3297, 3299, 3301, 3303, 3305, 3307, 3309, 3311, 3313, 3315, 3317, 3319, 3321, 3323, 3325, 3327, 3329, 3331, 3333, 3335, 3337, 3339, 3341, 3343, 3345, 3347, 3349, 3351, 3353, 3355, 3357, 3359, 3361, 3363, 3365, 3367, 3369, 3371, 3373, 3375, 3377, 3379, 3381, 3383, 3385, 3387, 3389, 3391, 3393, 3395, 3397, 3399, 3401, 3403, 3405, 3407, 3409, 3411, 3413, 3415, 3417, 3419, 3421, 3423, 3425, 3427, 3429, 3431, 3433, 3435, 3437, 3439, 3441, 3443, 3445, 3447, 3449, 3451, 3453, 3455, 3457, 3459, 3461, 3463, 3465, 3467, 3469, 3471, 3473, 3475, 3477, 3479, 3481, 3483, 3485, 3487, 3489, 3491, 3493, 3495, 3497, 3499, 3501, 3503, 3505, 3507, 3509, 3511, 3513, 3515, 3517, 3519, 3521, 3523, 3525, 3527, 3529, 3531, 3533, 3535, 3537, 3539, 3541, 3543, 3545, 3547, 3549, 3551, 3553, 3555, 3557, 3559, 3561, 3563, 3565, 3567, 3569, 3571, 3573, 3575, 3577, 3579, 3582, 3584, 3586, 3588, 3591, 3593, 3595, 3597, 3599, 3601, 3603, 3605, 3607, 3609, 3611, 3613, 3615, 3617, 3619, 3621, 3623, 3625, 3627, 3629, 3631, 3633, 3635, 3637, 3639, 3641, 3643, 3645, 3647, 3649, 3651, 3653, 3655, 3657, 3659, 3661, 3663, 3665, 3667, 3669, 3671, 3673, 3675, 3677, 3679, 3681, 3683, 3685, 3687, 3689, 3691, 3693, 3695, 3697, 3699, 3701, 3703, 3705, 3707, 3709, 3711, 3713, 3715, 3717, 3719, 3721, 3723, 3725, 3727, 3729, 3731, 3733, 3735, 3737, 3739, 3741, 3743, 3745, 3747, 3749, 3751, 3753, 3755, 3757, 3759, 3761, 3763, 3765, 3767, 3769, 3771, 3773, 3775, 3777, 3779, 3781, 3783, 3785, 3787, 3789, 3791, 3793, 3795, 3797, 3799, 3801, 3803, 3805, 3807, 3809, 3811, 3813, 3815, 3817, 3819, 3821, 3823, 3825, 3827, 3829, 3831, 3833, 3835, 3837, 3839, 3841, 3843, 3845, 3847, 3849, 3851, 3853, 3855, 3857, 3859, 3861, 3863, 3865, 3867, 3869, 3871, 3873, 3875, 3877, 3879, 3881, 3883, 3885, 3887, 3889, 3891, 3893, 3895, 3897, 3899, 3901, 3903, 3905, 3907, 3909, 3911, 3913, 3915, 3917, 3919, 3921, 3923, 3925, 3927, 3929, 3931, 3933, 3935, 3937, 3939, 3941, 3943, 3945, 3947, 3949, 3951, 3953, 3955, 3957, 3959, 3961, 3963, 3965, 3967, 3969, 3971, 3973, 3975, 3977, 3979, 3981, 3983, 3985, 3987, 3989, 3991, 3993, 3995, 3997, 3999, 4001, 4003, 4005, 4007, 4009, 4011, 4013, 4015, 4017, 4019, 4021, 4023, 4025, 4027, 4029, 4031, 4033, 4035, 4037, 4039, 4041, 4043, 4045, 4047, 4049, 4051, 4053, 4055, 4057, 4059, 4061, 4063, 4065, 4067, 4069, 4071, 4073, 4075, 4077, 4079, 4081, 4083, 4085, 4087, 4089, 4091, 4093, 4095, 4097, 4099, 4101, 4103, 4105, 4107, 4109, 4111, 4113, 4115, 4117, 4119, 4121, 4123, 4125, 4127, 4129, 4131, 4133, 4135, 4137, 4139, 4141, 4143, 4145, 4148, 4150, 4152, 4154, 4156, 4158, 4160, 4162, 4164, 4166, 4168, 4170, 4172, 4174, 4176, 4178, 4180, 4182, 4184, 4186, 4188, 4190, 4192, 4194, 4196, 4198, 4200, 4202, 4204, 4206, 4208, 4210, 4212, 4214, 4216, 4218, 4220, 4222, 4224, 4226, 4228, 4230, 4232, 4234, 4237, 4239, 4241, 4243, 4245, 4247, 4249, 4251, 4253, 4255, 4257, 4259, 4261, 4263, 4265, 4267, 4269, 4271, 4273, 4275, 4277, 4279, 4281, 4283, 4285, 4287, 4289, 4291, 4293, 4295, 4298, 4300, 4302, 4304, 4306, 4308, 4310, 4312, 4314, 4316, 4318, 4320, 4322, 4324, 4326, 4328, 4330, 4332, 4337, 4339, 4341, 4343, 4345, 4347, 4350, 4352, 4355, 4357, 4360, 4362, 4365, 4367, 4369, 4371, 4374, 4376, 4379, 4381, 4386, 4388, 4390, 4392, 4394, 4396, 4296, 4296, 4333, 4333, 4333, 4333, 4399, 4399, 4403, 4403, 4403, 4403, 4146, 4146, 4146, 4146, 4333, 4333, 4333, 4333, 4333, 4333, 4296, 4296, 4296, 4296, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4399, 4399, 4406, 4406, 4399, 4399, 4146, 4146, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4399, 4399, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4406, 4406, 4406, 4406, 3580, 3589, 4403, 4403, 4146, 4146, 4403, 4403, 4146, 4146, 4296, 4296, 4296, 4296, 4333, 4333, 4333, 4333, 4333, 4333, 4403, 4403, 4146, 4146, 4146, 4146, 4399, 4399, 4403, 4403, 4146, 4146, 4406, 4406, 4333, 4333, 4146, 4146, 4146, 4146, 4296, 4296, 4333, 4333, 4406, 4406, 4296, 4296, 4296, 4296, 4296, 4296, 4333, 4333, 4333, 4333, 4333, 4333, 4399, 4399, 4403, 4403, 4146, 4146, 4406, 4406, 4406, 4406, 4406, 4406, 4406, 4406, 4334, 4334, 4334, 4334, 4146, 4146, 4146, 4146, 4146, 4146, 4146, 4296, 4296, 4333, 4333, 4333, 4333, 4333, 4333, 4296, 4296, 4406, 4406, 4406, 4406, 4406, 4406, 4399, 4399, 4403, 4403, 4146, 4146, 4401, 4401, 4406, 4406, 4401, 4401, 4401, 4401, 4406, 4406, 4401, 4401, 4401, 4401, 4406, 4406, 3580, 3589, 4296, 4296, 4296, 4296, 4296, 4296, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4333, 4401, 4401, 4399, 4399, 4146, 4146, 4146, 4146, 4406, 4406, 4296, 4296, 4333, 4333, 4406, 4406, 4406, 4406, 4296, 4296, 4333, 4333, 4406, 4406, 4406, 4406, 4406, 4406, 4401, 4406, 4406, 4334, 4146, 4401, 4406, 4406, 4406, 4406, 4408, 4406, 4406, 4398, 4296, 4296, 4372, 4383, 4333, 4333, 4406, 4406, 4399, 4334, 4403, 4406, 4406, 4372, 4383, 4401, 4401, 4401, 4401, 4406, 4406, 4398, 4401, 4401, 4399, 4401, 4401, 4403, 4406, 4406, 4408, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 7617, 7619, 7621, 7623, 7625, 7627, 7629, 7631, 7633, 7635, 7637, 7639, 7641, 7643, 7645, 7647, 7649, 7651, 7653, 7655, 7657, 7659, 7661, 7663, 7665, 7667, 7669, 7671, 7673, 7675, 7677, 7679, 7681, 7683, 7685, 7687, 7689, 7691, 7693, 7695, 7697, 7699, 7701, 7703, 7705, 7707, 7709, 7711, 7713, 7715, 7717, 7719, 7721, 7723, 7725, 7727, 7729, 7731, 7733, 7735, 7737, 7739, 7741, 7743, 7745, 7747, 7749, 7751, 7753, 7755, 7757, 7759, 7761, 7763, 7765, 7767, 7769, 7771, 7773, 7775, 7777, 7779, 7781, 7783, 7785, 7787, 7789, 7791, 7793, 7795, 7797, 7799, 7801, 7803, 7805, 7807, 7809, 7811, 7813, 7815, 7817, 7819, 7821, 7823, 7825, 7827, 7829, 7831, 7833, 7835, 7837, 7839, 7841, 7843, 7845, 7847, 7849, 7851, 7853, 7855, 7857, 7859, 7861, 7863, 7865, 7867, 7869, 7871, 7873, 7875, 7877, 7879, 7881, 7883, 7885, 7887, 7889, 7891, 7893, 7895, 7897, 7899, 7901, 7903, 7905, 7907, 7909, 7911, 7913, 7915, 7917, 7919, 7921, 7923, 7925, 7927, 7929, 7931, 7933, 7935, 7937, 7939, 7941, 7943, 7945, 7947, 7949, 7951, 7953, 7955, 7957, 7959, 7961, 7963, 7965, 7967, 7969, 7971, 7973, 7975, 7977, 7979, 7981, 7983, 7985, 7987, 7989, 7991, 7993, 7995, 7997, 7999, 8001, 8003, 8005, 8007, 8009, 8011, 8013, 8015, 8017, 8019, 8021, 8023, 8025, 8027, 8029, 8031, 8033, 8035, 8037, 8039, 8041, 8043, 8045, 8047, 8049, 8051, 8053, 8055, 8057, 8059, 8061, 8063, 8065, 8067, 8069, 8071, 8073, 8075, 8077, 8079, 8081, 8083, 8085, 8087, 8089, 8091, 8093, 8095, 8097, 8099, 8101, 8103, 8105, 8107, 8109, 8111, 8113, 8115, 8117, 8119, 8121, 8123, 8125, 8127, 8129, 8131, 8133, 8135, 8137, 8139, 8141, 8143, 8145, 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7152, 7154, 16066, 16086, 15131, 16751, 16753, 16104, 16102, 16116, 14908, 16755, 7195, 7197, 15675, 16133, 16132, 16138, 16137, 16759, 16159, 15036, 16170, 16181, 16187, 16224, 16247, 16272, 16284, 16289, 7279, 7280, 16306, 14961, 16772, 16315, 16314, 16327, 16336, 16340, 14964, 16774, 16350, 16377, 16385, 16389, 16395, 16776, 16778, 16451, 7366, 7367, 15823, 7379, 7381, 7382, 7386, 7387, 7388, 7391, 7392, 7393, 7395, 7399, 16548, 16558, 16564, 7415, 7417, 7418, 7421, 7422, 7423, 7425, 7426, 16613, 7440, 7441, 7442, 7443, 16631, 7449, 16650, 16649, 15942, 16676, 7466, 7467, 7471, 7472, 7473, 16700, 7477, 7482, 15131, 16730, 7490, 7491, 16749, 16748, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 16835, 16837, 16843, 16085, 16850, 16851, 16853, 16855, 16857, 16861, 16863, 16864, 14907, 16872, 16121, 16875, 16127, 16882, 16884, 16143, 16888, 16889, 16892, 16894, 16896, 16901, 16903, 16905, 16907, 16910, 16912, 16919, 16186, 14928, 16925, 16929, 15707, 16934, 16937, 16939, 16941, 16943, 16946, 15720, 16954, 16955, 16959, 16962, 16242, 16970, 14948, 15734, 16982, 16265, 16991, 16993, 16994, 16999, 17003, 17005, 17006, 17009, 17013, 17015, 17018, 16323, 17028, 17031, 17033, 17035, 17037, 17040, 17042, 17043, 17048, 17051, 17057, 17062, 17066, 17068, 17071, 14981, 15785, 17080, 17082, 17084, 17086, 17087, 17090, 17096, 17100, 17102, 17104, 17108, 17111, 17113, 17115, 17118, 17120, 17124, 17127, 17129, 17131, 17135, 17139, 17143, 16467, 17146, 17148, 17150, 17153, 15820, 17156, 17158, 17159, 17161, 17165, 17167, 17169, 16501, 17172, 17175, 17178, 16512, 17181, 17184, 16520, 17187, 16525, 17190, 17192, 17194, 17197, 17200, 17202, 17204, 15865, 17207, 17209, 17213, 17216, 17218, 17221, 17225, 17227, 17230, 17232, 17234, 17237, 16585, 17240, 17241, 17243, 16595, 17248, 17251, 17253, 17255, 15903, 17258, 17260, 17262, 17265, 17268, 17271, 17274, 16637, 17278, 17281, 16646, 17284, 17286, 17289, 17291, 17293, 17295, 17297, 17299, 17300, 17302, 17305, 16680, 17308, 16684, 17311, 17314, 17317, 17319, 17321, 17324, 17326, 17329, 17331, 17333, 17336, 17337, 17339, 17341, 17343, 17345, 17348, 17351, 17354, 17356, 17358, 17359, 16832, 7163, 16840, 16839, 16846, 16845, 16844, 7173, 7177, 7183, 7184, 16867, 16869, 7189, 7193, 15678, 7198, 16878, 7200, 7201, 7203, 7204, 15689, 16898, 7214, 7216, 7218, 16916, 16914, 7223, 16921, 7226, 16927, 16947, 16949, 16950, 16948, 7244, 16967, 16964, 16963, 7256, 16972, 16971, 16977, 16979, 16978, 16986, 16988, 7271, 14964, 7275, 7277, 17389, 17007, 17010, 7286, 7290, 17020, 7292, 7293, 17022, 17023, 17024, 7299, 7302, 7304, 7308, 17045, 7310, 17060, 17055, 17053, 17059, 17064, 17054, 7323, 17073, 17072, 7328, 7330, 7332, 17406, 17093, 17097, 17092, 17094, 17125, 17133, 7362, 17409, 7375, 17163, 17413, 17415, 17418, 7405, 17211, 7409, 7411, 17223, 17427, 17429, 17432, 17246, 17245, 7435, 17435, 17437, 7445, 17276, 7451, 7452, 7461, 7463, 17445, 17447, 7475, 7484, 7486, 17455, 7493, 7494, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 16838, 16890, 16908, 16913, 16926, 16930, 16935, 16956, 16960, 16983, 16995, 17000, 17016, 17029, 17044, 17049, 17052, 17058, 17063, 17551, 17091, 17105, 17109, 17121, 17136, 17140, 17151, 16485, 17198, 17219, 17228, 16590, 17249, 17642, 17287, 16671, 17327, 17346, 16747, 7162, 16841, 17472, 7167, 7168, 16847, 7170, 7171, 7172, 17476, 17686, 17480, 17478, 16859, 17688, 17482, 7186, 17484, 7188, 17485, 17692, 17487, 7196, 17694, 7199, 17697, 16880, 17699, 17490, 7206, 17496, 17494, 7213, 17497, 7221, 7222, 17503, 7225, 16931, 16922, 7231, 17511, 17514, 17513, 17510, 7239, 16951, 7241, 7242, 7243, 7249, 7250, 16965, 7252, 17519, 16968, 16975, 16973, 7259, 7260, 16984, 7264, 7265, 7266, 7268, 7269, 16989, 7273, 17001, 17531, 7282, 17011, 17533, 7285, 17536, 17735, 7291, 17738, 7295, 7296, 7297, 17025, 17541, 17539, 17038, 17745, 7309, 7311, 7313, 7316, 7317, 7318, 7321, 17069, 17076, 17074, 7326, 7327, 17078, 17556, 17558, 17562, 7342, 17561, 17563, 7345, 7346, 7347, 17568, 17566, 17122, 7357, 17574, 17573, 17572, 7361, 17577, 17580, 17579, 17582, 17584, 17587, 7377, 17588, 17590, 17594, 17593, 17592, 17416, 17597, 17596, 17419, 17599, 17603, 17602, 17601, 17607, 17606, 17605, 17609, 17610, 7407, 17611, 17614, 7413, 17617, 17620, 17619, 17430, 17624, 7428, 7429, 17631, 17628, 17629, 17627, 17635, 17634, 17633, 17632, 17786, 17636, 17637, 7447, 17639, 17790, 17645, 17644, 17648, 17647, 17646, 17651, 17654, 17652, 17658, 17657, 17656, 17448, 17660, 17666, 17665, 17664, 17663, 17668, 17674, 17673, 17672, 17800, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 17824, 7165, 7166, 7169, 17871, 7174, 7178, 7179, 7182, 7185, 7187, 7190, 7194, 17885, 7202, 7205, 17492, 7210, 7211, 7215, 17499, 17501, 17898, 7224, 17709, 17828, 17829, 7229, 7230, 17830, 7234, 7235, 7236, 7237, 7240, 17911, 17516, 16957, 7251, 7253, 17914, 7255, 7257, 7258, 17922, 17833, 7263, 17925, 7270, 17527, 16997, 7276, 7278, 17836, 7283, 7284, 7287, 17837, 7298, 17943, 7300, 7301, 7303, 17544, 17842, 17841, 17839, 17840, 17843, 17954, 7322, 7324, 7325, 17960, 7329, 7331, 7333, 17088, 7340, 17845, 7343, 7344, 17970, 17106, 7351, 7352, 17569, 7356, 7358, 7359, 7360, 17767, 7363, 17849, 17848, 7368, 7369, 7370, 7371, 17850, 17585, 7376, 7378, 7380, 7383, 7384, 7385, 7389, 7390, 7394, 7396, 7397, 7398, 7400, 7401, 7402, 17852, 7404, 7406, 7408, 17612, 7412, 17615, 7416, 7419, 7420, 17622, 7427, 18014, 7430, 17856, 7432, 7433, 7434, 7436, 7437, 7438, 7439, 7444, 7446, 7448, 17640, 7453, 7454, 17858, 7456, 7457, 7458, 17649, 7462, 7464, 7465, 7468, 7469, 7470, 7474, 17661, 7478, 7479, 7480, 7481, 7483, 17670, 7487, 7488, 7489, 17676, 17949, 17927, 17939, 17887, 17863, 17881, 17895, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 7164, 17866, 17869, 18087, 18090, 17886, 7207, 18098, 7217, 7219, 7227, 7228, 18108, 7233, 18112, 18114, 7245, 7247, 17916, 18123, 7262, 7272, 7274, 7281, 18135, 7294, 18141, 7305, 7312, 7314, 7315, 7319, 7320, 18152, 7338, 7341, 18160, 17968, 7349, 18165, 7354, 18169, 7364, 7365, 7372, 18176, 18178, 7374, 18185, 18188, 18191, 7403, 18194, 7410, 7414, 18205, 7424, 7431, 18212, 18215, 18217, 7450, 7455, 18223, 18227, 7460, 18231, 18233, 7476, 18238, 18240, 7485, 18244, 7492, 18088, 7497, 7498, 18150, 18121, 18102, 7511, 18142, 18099, 7520, 18154, 7522, 18155, 18167, 18132, 18128, 18085, 18131, 18091, 18103, 7539, 18095, 7542, 18136, 18156, 18094, 18218, 18183, 18235, 18241, 18203, 18201, 18219, 18229, 18199, 18182, 18207, 18198, 18220, 18189, 18181, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18081, 18084, 18283, 18110, 18115, 18290, 18124, 18126, 17933, 17941, 18300, 18301, 17952, 18304, 18153, 18307, 18162, 18170, 18314, 18318, 18186, 18192, 18323, 18329, 18332, 18225, 18234, 18342, 18245, 7496, 18312, 7500, 18294, 18089, 18278, 7506, 18311, 7508, 18306, 18298, 7515, 18289, 18299, 7518, 18280, 7521, 7524, 7525, 18288, 7527, 7528, 7530, 7531, 7532, 7533, 18279, 7540, 18310, 18092, 7545, 7547, 18275, 7549, 18293, 18281, 18348, 18325, 18338, 7556, 18319, 18333, 18321, 18343, 7562, 7563, 7564, 18327, 18328, 7571, 7572, 18340, 7574, 7575, 7576, 18326, 7578, 7580, 7581, 7584, 18337, 7586, 18345, 7590, 29, 30, 31, 18273, 18284, 18286, 17912, 18119, 18127, 18296, 18139, 18411, 18149, 17955, 18308, 18315, 18316, 18422, 18330, 18425, 7499, 7501, 18414, 7504, 7505, 7507, 7512, 7514, 7516, 7517, 7519, 7526, 18401, 7534, 18417, 18406, 7541, 7543, 7548, 7550, 7551, 18357, 18450, 18453, 18456, 7553, 7554, 18426, 7557, 7558, 18424, 7560, 7561, 7566, 18421, 18428, 7569, 7573, 7577, 18420, 7585, 18427, 7589, 18475, 18479, 18483, 31, 17867, 17903, 18113, 17926, 17936, 18138, 18505, 18416, 18197, 18213, 18336, 7503, 18500, 7529, 7535, 7536, 18499, 18431, 18435, 18437, 18519, 18521, 18443, 18355, 18524, 18526, 18368, 18531, 18532, 7555, 7559, 7567, 7568, 7582, 18508, 18509, 7588, 18539, 18542, 18473, 18481, 18485, 18490, 18492, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18506, 18560, 18561, 18562, 7510, 18563, 18567, 7538, 18564, 18565, 18516, 18451, 18575, 18582, 18534, 18585, 18586, 18588, 18570, 18568, 18569, 7583, 7587, 18468, 18544, 18592, 18593, 18556, 18558, 29, 30, 31, 7495, 7502, 7509, 7513, 7523, 18624, 7544, 7546, 18578, 18635, 7565, 7570, 7579, 18488, 18596, 18647, 18648, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 7537, 18429, 18657, 18628, 18520, 18446, 18662, 18663, 18639, 18546, 18667, 18486, 18669, 18670, 18672, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18631, 18465, 18690, 18691, 18692, 18584, 18695, 18649, 18557, 18699, 18603, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18720, 18722, 18723, 18637, 18725, 18641, 18727, 18652, 18700, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18640, 18754, 18756, 18533, 18758, 18760, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18784, 18786, 18789, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18787, 18730, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18848, 18849, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 7592, 18880, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 7593, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 18944, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
bool h_Op[]= {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
#define THREADS_PER_BLOCK 32
#define BLOCKS_PER_GRID 1
#define SIZE_OF_IN 7616
#define SIZE_OF_AC 11392
__device__ void
ac(float *A, const int *B, const int *C, const bool *Op, int n_iter) {
int i= blockDim.x * blockIdx.x + threadIdx.x;
__shared__ float R[594*THREADS_PER_BLOCK];
const int t= THREADS_PER_BLOCK;
__shared__ float final;
final=0;
R[i + 0*t] = A[i + 0*t];
R[i + 1*t] = A[i + 1*t];
R[i + 2*t] = A[i + 2*t];
R[i + 3*t] = A[i + 3*t];
R[i + 4*t] = A[i + 4*t];
R[i + 5*t] = A[i + 5*t];
R[i + 6*t] = A[i + 6*t];
R[i + 7*t] = A[i + 7*t];
R[i + 8*t] = A[i + 8*t];
R[i + 9*t] = A[i + 9*t];
R[i + 10*t] = A[i + 10*t];
R[i + 11*t] = A[i + 11*t];
R[i + 12*t] = A[i + 12*t];
R[i + 13*t] = A[i + 13*t];
R[i + 14*t] = A[i + 14*t];
R[i + 15*t] = A[i + 15*t];
R[i + 16*t] = A[i + 16*t];
R[i + 17*t] = A[i + 17*t];
R[i + 18*t] = A[i + 18*t];
R[i + 19*t] = A[i + 19*t];
R[i + 20*t] = A[i + 20*t];
R[i + 21*t] = A[i + 21*t];
R[i + 22*t] = A[i + 22*t];
R[i + 23*t] = A[i + 23*t];
R[i + 24*t] = A[i + 24*t];
R[i + 25*t] = A[i + 25*t];
R[i + 26*t] = A[i + 26*t];
R[i + 27*t] = A[i + 27*t];
R[i + 28*t] = A[i + 28*t];
R[i + 29*t] = A[i + 29*t];
R[i + 30*t] = A[i + 30*t];
R[i + 31*t] = A[i + 31*t];
R[i + 32*t] = A[i + 32*t];
R[i + 33*t] = A[i + 33*t];
R[i + 34*t] = A[i + 34*t];
R[i + 35*t] = A[i + 35*t];
R[i + 36*t] = A[i + 36*t];
R[i + 37*t] = A[i + 37*t];
R[i + 38*t] = A[i + 38*t];
R[i + 39*t] = A[i + 39*t];
R[i + 40*t] = A[i + 40*t];
R[i + 41*t] = A[i + 41*t];
R[i + 42*t] = A[i + 42*t];
R[i + 43*t] = A[i + 43*t];
R[i + 44*t] = A[i + 44*t];
R[i + 45*t] = A[i + 45*t];
R[i + 46*t] = A[i + 46*t];
R[i + 47*t] = A[i + 47*t];
R[i + 48*t] = A[i + 48*t];
R[i + 49*t] = A[i + 49*t];
R[i + 50*t] = A[i + 50*t];
R[i + 51*t] = A[i + 51*t];
R[i + 52*t] = A[i + 52*t];
R[i + 53*t] = A[i + 53*t];
R[i + 54*t] = A[i + 54*t];
R[i + 55*t] = A[i + 55*t];
R[i + 56*t] = A[i + 56*t];
R[i + 57*t] = A[i + 57*t];
R[i + 58*t] = A[i + 58*t];
R[i + 59*t] = A[i + 59*t];
R[i + 60*t] = A[i + 60*t];
R[i + 61*t] = A[i + 61*t];
R[i + 62*t] = A[i + 62*t];
R[i + 63*t] = A[i + 63*t];
R[i + 64*t] = A[i + 64*t];
R[i + 65*t] = A[i + 65*t];
R[i + 66*t] = A[i + 66*t];
R[i + 67*t] = A[i + 67*t];
R[i + 68*t] = A[i + 68*t];
R[i + 69*t] = A[i + 69*t];
R[i + 70*t] = A[i + 70*t];
R[i + 71*t] = A[i + 71*t];
R[i + 72*t] = A[i + 72*t];
R[i + 73*t] = A[i + 73*t];
R[i + 74*t] = A[i + 74*t];
R[i + 75*t] = A[i + 75*t];
R[i + 76*t] = A[i + 76*t];
R[i + 77*t] = A[i + 77*t];
R[i + 78*t] = A[i + 78*t];
R[i + 79*t] = A[i + 79*t];
R[i + 80*t] = A[i + 80*t];
R[i + 81*t] = A[i + 81*t];
R[i + 82*t] = A[i + 82*t];
R[i + 83*t] = A[i + 83*t];
R[i + 84*t] = A[i + 84*t];
R[i + 85*t] = A[i + 85*t];
R[i + 86*t] = A[i + 86*t];
R[i + 87*t] = A[i + 87*t];
R[i + 88*t] = A[i + 88*t];
R[i + 89*t] = A[i + 89*t];
R[i + 90*t] = A[i + 90*t];
R[i + 91*t] = A[i + 91*t];
R[i + 92*t] = A[i + 92*t];
R[i + 93*t] = A[i + 93*t];
R[i + 94*t] = A[i + 94*t];
R[i + 95*t] = A[i + 95*t];
R[i + 96*t] = A[i + 96*t];
R[i + 97*t] = A[i + 97*t];
R[i + 98*t] = A[i + 98*t];
R[i + 99*t] = A[i + 99*t];
R[i + 100*t] = A[i + 100*t];
R[i + 101*t] = A[i + 101*t];
R[i + 102*t] = A[i + 102*t];
R[i + 103*t] = A[i + 103*t];
R[i + 104*t] = A[i + 104*t];
R[i + 105*t] = A[i + 105*t];
R[i + 106*t] = A[i + 106*t];
R[i + 107*t] = A[i + 107*t];
R[i + 108*t] = A[i + 108*t];
R[i + 109*t] = A[i + 109*t];
R[i + 110*t] = A[i + 110*t];
R[i + 111*t] = A[i + 111*t];
R[i + 112*t] = A[i + 112*t];
R[i + 113*t] = A[i + 113*t];
R[i + 114*t] = A[i + 114*t];
R[i + 115*t] = A[i + 115*t];
R[i + 116*t] = A[i + 116*t];
R[i + 117*t] = A[i + 117*t];
R[i + 118*t] = A[i + 118*t];
R[i + 119*t] = A[i + 119*t];
R[i + 120*t] = A[i + 120*t];
R[i + 121*t] = A[i + 121*t];
R[i + 122*t] = A[i + 122*t];
R[i + 123*t] = A[i + 123*t];
R[i + 124*t] = A[i + 124*t];
R[i + 125*t] = A[i + 125*t];
R[i + 126*t] = A[i + 126*t];
R[i + 127*t] = A[i + 127*t];
R[i + 128*t] = A[i + 128*t];
R[i + 129*t] = A[i + 129*t];
R[i + 130*t] = A[i + 130*t];
R[i + 131*t] = A[i + 131*t];
R[i + 132*t] = A[i + 132*t];
R[i + 133*t] = A[i + 133*t];
R[i + 134*t] = A[i + 134*t];
R[i + 135*t] = A[i + 135*t];
R[i + 136*t] = A[i + 136*t];
R[i + 137*t] = A[i + 137*t];
R[i + 138*t] = A[i + 138*t];
R[i + 139*t] = A[i + 139*t];
R[i + 140*t] = A[i + 140*t];
R[i + 141*t] = A[i + 141*t];
R[i + 142*t] = A[i + 142*t];
R[i + 143*t] = A[i + 143*t];
R[i + 144*t] = A[i + 144*t];
R[i + 145*t] = A[i + 145*t];
R[i + 146*t] = A[i + 146*t];
R[i + 147*t] = A[i + 147*t];
R[i + 148*t] = A[i + 148*t];
R[i + 149*t] = A[i + 149*t];
R[i + 150*t] = A[i + 150*t];
R[i + 151*t] = A[i + 151*t];
R[i + 152*t] = A[i + 152*t];
R[i + 153*t] = A[i + 153*t];
R[i + 154*t] = A[i + 154*t];
R[i + 155*t] = A[i + 155*t];
R[i + 156*t] = A[i + 156*t];
R[i + 157*t] = A[i + 157*t];
R[i + 158*t] = A[i + 158*t];
R[i + 159*t] = A[i + 159*t];
R[i + 160*t] = A[i + 160*t];
R[i + 161*t] = A[i + 161*t];
R[i + 162*t] = A[i + 162*t];
R[i + 163*t] = A[i + 163*t];
R[i + 164*t] = A[i + 164*t];
R[i + 165*t] = A[i + 165*t];
R[i + 166*t] = A[i + 166*t];
R[i + 167*t] = A[i + 167*t];
R[i + 168*t] = A[i + 168*t];
R[i + 169*t] = A[i + 169*t];
R[i + 170*t] = A[i + 170*t];
R[i + 171*t] = A[i + 171*t];
R[i + 172*t] = A[i + 172*t];
R[i + 173*t] = A[i + 173*t];
R[i + 174*t] = A[i + 174*t];
R[i + 175*t] = A[i + 175*t];
R[i + 176*t] = A[i + 176*t];
R[i + 177*t] = A[i + 177*t];
R[i + 178*t] = A[i + 178*t];
R[i + 179*t] = A[i + 179*t];
R[i + 180*t] = A[i + 180*t];
R[i + 181*t] = A[i + 181*t];
R[i + 182*t] = A[i + 182*t];
R[i + 183*t] = A[i + 183*t];
R[i + 184*t] = A[i + 184*t];
R[i + 185*t] = A[i + 185*t];
R[i + 186*t] = A[i + 186*t];
R[i + 187*t] = A[i + 187*t];
R[i + 188*t] = A[i + 188*t];
R[i + 189*t] = A[i + 189*t];
R[i + 190*t] = A[i + 190*t];
R[i + 191*t] = A[i + 191*t];
R[i + 192*t] = A[i + 192*t];
R[i + 193*t] = A[i + 193*t];
R[i + 194*t] = A[i + 194*t];
R[i + 195*t] = A[i + 195*t];
R[i + 196*t] = A[i + 196*t];
R[i + 197*t] = A[i + 197*t];
R[i + 198*t] = A[i + 198*t];
R[i + 199*t] = A[i + 199*t];
R[i + 200*t] = A[i + 200*t];
R[i + 201*t] = A[i + 201*t];
R[i + 202*t] = A[i + 202*t];
R[i + 203*t] = A[i + 203*t];
R[i + 204*t] = A[i + 204*t];
R[i + 205*t] = A[i + 205*t];
R[i + 206*t] = A[i + 206*t];
R[i + 207*t] = A[i + 207*t];
R[i + 208*t] = A[i + 208*t];
R[i + 209*t] = A[i + 209*t];
R[i + 210*t] = A[i + 210*t];
R[i + 211*t] = A[i + 211*t];
R[i + 212*t] = A[i + 212*t];
R[i + 213*t] = A[i + 213*t];
R[i + 214*t] = A[i + 214*t];
R[i + 215*t] = A[i + 215*t];
R[i + 216*t] = A[i + 216*t];
R[i + 217*t] = A[i + 217*t];
R[i + 218*t] = A[i + 218*t];
R[i + 219*t] = A[i + 219*t];
R[i + 220*t] = A[i + 220*t];
R[i + 221*t] = A[i + 221*t];
R[i + 222*t] = A[i + 222*t];
R[i + 223*t] = A[i + 223*t];
R[i + 224*t] = A[i + 224*t];
R[i + 225*t] = A[i + 225*t];
R[i + 226*t] = A[i + 226*t];
R[i + 227*t] = A[i + 227*t];
R[i + 228*t] = A[i + 228*t];
R[i + 229*t] = A[i + 229*t];
R[i + 230*t] = A[i + 230*t];
R[i + 231*t] = A[i + 231*t];
R[i + 232*t] = A[i + 232*t];
R[i + 233*t] = A[i + 233*t];
R[i + 234*t] = A[i + 234*t];
R[i + 235*t] = A[i + 235*t];
R[i + 236*t] = A[i + 236*t];
R[i + 237*t] = A[i + 237*t];
__syncthreads();
for (int iter=0; iter< n_iter; iter++) {
R[i + 238*t] = Op[i + 0*t] ? R[B[i + 0*t]] * R[C[i + 0*t]] : R[B[i + 0*t]] + R[C[i + 0*t]];
R[i + 239*t] = Op[i + 1*t] ? R[B[i + 1*t]] * R[C[i + 1*t]] : R[B[i + 1*t]] + R[C[i + 1*t]];
R[i + 240*t] = Op[i + 2*t] ? R[B[i + 2*t]] * R[C[i + 2*t]] : R[B[i + 2*t]] + R[C[i + 2*t]];
R[i + 241*t] = Op[i + 3*t] ? R[B[i + 3*t]] * R[C[i + 3*t]] : R[B[i + 3*t]] + R[C[i + 3*t]];
R[i + 242*t] = Op[i + 4*t] ? R[B[i + 4*t]] * R[C[i + 4*t]] : R[B[i + 4*t]] + R[C[i + 4*t]];
R[i + 243*t] = Op[i + 5*t] ? R[B[i + 5*t]] * R[C[i + 5*t]] : R[B[i + 5*t]] + R[C[i + 5*t]];
R[i + 244*t] = Op[i + 6*t] ? R[B[i + 6*t]] * R[C[i + 6*t]] : R[B[i + 6*t]] + R[C[i + 6*t]];
R[i + 245*t] = Op[i + 7*t] ? R[B[i + 7*t]] * R[C[i + 7*t]] : R[B[i + 7*t]] + R[C[i + 7*t]];
R[i + 246*t] = Op[i + 8*t] ? R[B[i + 8*t]] * R[C[i + 8*t]] : R[B[i + 8*t]] + R[C[i + 8*t]];
R[i + 247*t] = Op[i + 9*t] ? R[B[i + 9*t]] * R[C[i + 9*t]] : R[B[i + 9*t]] + R[C[i + 9*t]];
R[i + 248*t] = Op[i + 10*t] ? R[B[i + 10*t]] * R[C[i + 10*t]] : R[B[i + 10*t]] + R[C[i + 10*t]];
R[i + 249*t] = Op[i + 11*t] ? R[B[i + 11*t]] * R[C[i + 11*t]] : R[B[i + 11*t]] + R[C[i + 11*t]];
R[i + 250*t] = Op[i + 12*t] ? R[B[i + 12*t]] * R[C[i + 12*t]] : R[B[i + 12*t]] + R[C[i + 12*t]];
R[i + 251*t] = Op[i + 13*t] ? R[B[i + 13*t]] * R[C[i + 13*t]] : R[B[i + 13*t]] + R[C[i + 13*t]];
R[i + 252*t] = Op[i + 14*t] ? R[B[i + 14*t]] * R[C[i + 14*t]] : R[B[i + 14*t]] + R[C[i + 14*t]];
R[i + 253*t] = Op[i + 15*t] ? R[B[i + 15*t]] * R[C[i + 15*t]] : R[B[i + 15*t]] + R[C[i + 15*t]];
R[i + 254*t] = Op[i + 16*t] ? R[B[i + 16*t]] * R[C[i + 16*t]] : R[B[i + 16*t]] + R[C[i + 16*t]];
R[i + 255*t] = Op[i + 17*t] ? R[B[i + 17*t]] * R[C[i + 17*t]] : R[B[i + 17*t]] + R[C[i + 17*t]];
R[i + 256*t] = Op[i + 18*t] ? R[B[i + 18*t]] * R[C[i + 18*t]] : R[B[i + 18*t]] + R[C[i + 18*t]];
R[i + 257*t] = Op[i + 19*t] ? R[B[i + 19*t]] * R[C[i + 19*t]] : R[B[i + 19*t]] + R[C[i + 19*t]];
R[i + 258*t] = Op[i + 20*t] ? R[B[i + 20*t]] * R[C[i + 20*t]] : R[B[i + 20*t]] + R[C[i + 20*t]];
R[i + 259*t] = Op[i + 21*t] ? R[B[i + 21*t]] * R[C[i + 21*t]] : R[B[i + 21*t]] + R[C[i + 21*t]];
R[i + 260*t] = Op[i + 22*t] ? R[B[i + 22*t]] * R[C[i + 22*t]] : R[B[i + 22*t]] + R[C[i + 22*t]];
R[i + 261*t] = Op[i + 23*t] ? R[B[i + 23*t]] * R[C[i + 23*t]] : R[B[i + 23*t]] + R[C[i + 23*t]];
R[i + 262*t] = Op[i + 24*t] ? R[B[i + 24*t]] * R[C[i + 24*t]] : R[B[i + 24*t]] + R[C[i + 24*t]];
R[i + 263*t] = Op[i + 25*t] ? R[B[i + 25*t]] * R[C[i + 25*t]] : R[B[i + 25*t]] + R[C[i + 25*t]];
R[i + 264*t] = Op[i + 26*t] ? R[B[i + 26*t]] * R[C[i + 26*t]] : R[B[i + 26*t]] + R[C[i + 26*t]];
R[i + 265*t] = Op[i + 27*t] ? R[B[i + 27*t]] * R[C[i + 27*t]] : R[B[i + 27*t]] + R[C[i + 27*t]];
R[i + 266*t] = Op[i + 28*t] ? R[B[i + 28*t]] * R[C[i + 28*t]] : R[B[i + 28*t]] + R[C[i + 28*t]];
R[i + 267*t] = Op[i + 29*t] ? R[B[i + 29*t]] * R[C[i + 29*t]] : R[B[i + 29*t]] + R[C[i + 29*t]];
R[i + 268*t] = Op[i + 30*t] ? R[B[i + 30*t]] * R[C[i + 30*t]] : R[B[i + 30*t]] + R[C[i + 30*t]];
R[i + 269*t] = Op[i + 31*t] ? R[B[i + 31*t]] * R[C[i + 31*t]] : R[B[i + 31*t]] + R[C[i + 31*t]];
R[i + 270*t] = Op[i + 32*t] ? R[B[i + 32*t]] * R[C[i + 32*t]] : R[B[i + 32*t]] + R[C[i + 32*t]];
R[i + 271*t] = Op[i + 33*t] ? R[B[i + 33*t]] * R[C[i + 33*t]] : R[B[i + 33*t]] + R[C[i + 33*t]];
R[i + 272*t] = Op[i + 34*t] ? R[B[i + 34*t]] * R[C[i + 34*t]] : R[B[i + 34*t]] + R[C[i + 34*t]];
R[i + 273*t] = Op[i + 35*t] ? R[B[i + 35*t]] * R[C[i + 35*t]] : R[B[i + 35*t]] + R[C[i + 35*t]];
R[i + 274*t] = Op[i + 36*t] ? R[B[i + 36*t]] * R[C[i + 36*t]] : R[B[i + 36*t]] + R[C[i + 36*t]];
R[i + 275*t] = Op[i + 37*t] ? R[B[i + 37*t]] * R[C[i + 37*t]] : R[B[i + 37*t]] + R[C[i + 37*t]];
R[i + 276*t] = Op[i + 38*t] ? R[B[i + 38*t]] * R[C[i + 38*t]] : R[B[i + 38*t]] + R[C[i + 38*t]];
R[i + 277*t] = Op[i + 39*t] ? R[B[i + 39*t]] * R[C[i + 39*t]] : R[B[i + 39*t]] + R[C[i + 39*t]];
R[i + 278*t] = Op[i + 40*t] ? R[B[i + 40*t]] * R[C[i + 40*t]] : R[B[i + 40*t]] + R[C[i + 40*t]];
R[i + 279*t] = Op[i + 41*t] ? R[B[i + 41*t]] * R[C[i + 41*t]] : R[B[i + 41*t]] + R[C[i + 41*t]];
R[i + 280*t] = Op[i + 42*t] ? R[B[i + 42*t]] * R[C[i + 42*t]] : R[B[i + 42*t]] + R[C[i + 42*t]];
R[i + 281*t] = Op[i + 43*t] ? R[B[i + 43*t]] * R[C[i + 43*t]] : R[B[i + 43*t]] + R[C[i + 43*t]];
R[i + 282*t] = Op[i + 44*t] ? R[B[i + 44*t]] * R[C[i + 44*t]] : R[B[i + 44*t]] + R[C[i + 44*t]];
R[i + 283*t] = Op[i + 45*t] ? R[B[i + 45*t]] * R[C[i + 45*t]] : R[B[i + 45*t]] + R[C[i + 45*t]];
R[i + 284*t] = Op[i + 46*t] ? R[B[i + 46*t]] * R[C[i + 46*t]] : R[B[i + 46*t]] + R[C[i + 46*t]];
R[i + 285*t] = Op[i + 47*t] ? R[B[i + 47*t]] * R[C[i + 47*t]] : R[B[i + 47*t]] + R[C[i + 47*t]];
R[i + 286*t] = Op[i + 48*t] ? R[B[i + 48*t]] * R[C[i + 48*t]] : R[B[i + 48*t]] + R[C[i + 48*t]];
R[i + 287*t] = Op[i + 49*t] ? R[B[i + 49*t]] * R[C[i + 49*t]] : R[B[i + 49*t]] + R[C[i + 49*t]];
R[i + 288*t] = Op[i + 50*t] ? R[B[i + 50*t]] * R[C[i + 50*t]] : R[B[i + 50*t]] + R[C[i + 50*t]];
R[i + 289*t] = Op[i + 51*t] ? R[B[i + 51*t]] * R[C[i + 51*t]] : R[B[i + 51*t]] + R[C[i + 51*t]];
R[i + 290*t] = Op[i + 52*t] ? R[B[i + 52*t]] * R[C[i + 52*t]] : R[B[i + 52*t]] + R[C[i + 52*t]];
R[i + 291*t] = Op[i + 53*t] ? R[B[i + 53*t]] * R[C[i + 53*t]] : R[B[i + 53*t]] + R[C[i + 53*t]];
R[i + 292*t] = Op[i + 54*t] ? R[B[i + 54*t]] * R[C[i + 54*t]] : R[B[i + 54*t]] + R[C[i + 54*t]];
R[i + 293*t] = Op[i + 55*t] ? R[B[i + 55*t]] * R[C[i + 55*t]] : R[B[i + 55*t]] + R[C[i + 55*t]];
R[i + 294*t] = Op[i + 56*t] ? R[B[i + 56*t]] * R[C[i + 56*t]] : R[B[i + 56*t]] + R[C[i + 56*t]];
R[i + 295*t] = Op[i + 57*t] ? R[B[i + 57*t]] * R[C[i + 57*t]] : R[B[i + 57*t]] + R[C[i + 57*t]];
R[i + 296*t] = Op[i + 58*t] ? R[B[i + 58*t]] * R[C[i + 58*t]] : R[B[i + 58*t]] + R[C[i + 58*t]];
R[i + 297*t] = Op[i + 59*t] ? R[B[i + 59*t]] * R[C[i + 59*t]] : R[B[i + 59*t]] + R[C[i + 59*t]];
R[i + 298*t] = Op[i + 60*t] ? R[B[i + 60*t]] * R[C[i + 60*t]] : R[B[i + 60*t]] + R[C[i + 60*t]];
R[i + 299*t] = Op[i + 61*t] ? R[B[i + 61*t]] * R[C[i + 61*t]] : R[B[i + 61*t]] + R[C[i + 61*t]];
R[i + 300*t] = Op[i + 62*t] ? R[B[i + 62*t]] * R[C[i + 62*t]] : R[B[i + 62*t]] + R[C[i + 62*t]];
R[i + 301*t] = Op[i + 63*t] ? R[B[i + 63*t]] * R[C[i + 63*t]] : R[B[i + 63*t]] + R[C[i + 63*t]];
R[i + 302*t] = Op[i + 64*t] ? R[B[i + 64*t]] * R[C[i + 64*t]] : R[B[i + 64*t]] + R[C[i + 64*t]];
R[i + 303*t] = Op[i + 65*t] ? R[B[i + 65*t]] * R[C[i + 65*t]] : R[B[i + 65*t]] + R[C[i + 65*t]];
R[i + 304*t] = Op[i + 66*t] ? R[B[i + 66*t]] * R[C[i + 66*t]] : R[B[i + 66*t]] + R[C[i + 66*t]];
R[i + 305*t] = Op[i + 67*t] ? R[B[i + 67*t]] * R[C[i + 67*t]] : R[B[i + 67*t]] + R[C[i + 67*t]];
R[i + 306*t] = Op[i + 68*t] ? R[B[i + 68*t]] * R[C[i + 68*t]] : R[B[i + 68*t]] + R[C[i + 68*t]];
R[i + 307*t] = Op[i + 69*t] ? R[B[i + 69*t]] * R[C[i + 69*t]] : R[B[i + 69*t]] + R[C[i + 69*t]];
R[i + 308*t] = Op[i + 70*t] ? R[B[i + 70*t]] * R[C[i + 70*t]] : R[B[i + 70*t]] + R[C[i + 70*t]];
R[i + 309*t] = Op[i + 71*t] ? R[B[i + 71*t]] * R[C[i + 71*t]] : R[B[i + 71*t]] + R[C[i + 71*t]];
R[i + 310*t] = Op[i + 72*t] ? R[B[i + 72*t]] * R[C[i + 72*t]] : R[B[i + 72*t]] + R[C[i + 72*t]];
R[i + 311*t] = Op[i + 73*t] ? R[B[i + 73*t]] * R[C[i + 73*t]] : R[B[i + 73*t]] + R[C[i + 73*t]];
R[i + 312*t] = Op[i + 74*t] ? R[B[i + 74*t]] * R[C[i + 74*t]] : R[B[i + 74*t]] + R[C[i + 74*t]];
R[i + 313*t] = Op[i + 75*t] ? R[B[i + 75*t]] * R[C[i + 75*t]] : R[B[i + 75*t]] + R[C[i + 75*t]];
R[i + 314*t] = Op[i + 76*t] ? R[B[i + 76*t]] * R[C[i + 76*t]] : R[B[i + 76*t]] + R[C[i + 76*t]];
R[i + 315*t] = Op[i + 77*t] ? R[B[i + 77*t]] * R[C[i + 77*t]] : R[B[i + 77*t]] + R[C[i + 77*t]];
__syncthreads();
R[i + 316*t] = Op[i + 78*t] ? R[B[i + 78*t]] * R[C[i + 78*t]] : R[B[i + 78*t]] + R[C[i + 78*t]];
R[i + 317*t] = Op[i + 79*t] ? R[B[i + 79*t]] * R[C[i + 79*t]] : R[B[i + 79*t]] + R[C[i + 79*t]];
R[i + 318*t] = Op[i + 80*t] ? R[B[i + 80*t]] * R[C[i + 80*t]] : R[B[i + 80*t]] + R[C[i + 80*t]];
R[i + 319*t] = Op[i + 81*t] ? R[B[i + 81*t]] * R[C[i + 81*t]] : R[B[i + 81*t]] + R[C[i + 81*t]];
R[i + 320*t] = Op[i + 82*t] ? R[B[i + 82*t]] * R[C[i + 82*t]] : R[B[i + 82*t]] + R[C[i + 82*t]];
R[i + 321*t] = Op[i + 83*t] ? R[B[i + 83*t]] * R[C[i + 83*t]] : R[B[i + 83*t]] + R[C[i + 83*t]];
R[i + 322*t] = Op[i + 84*t] ? R[B[i + 84*t]] * R[C[i + 84*t]] : R[B[i + 84*t]] + R[C[i + 84*t]];
R[i + 323*t] = Op[i + 85*t] ? R[B[i + 85*t]] * R[C[i + 85*t]] : R[B[i + 85*t]] + R[C[i + 85*t]];
R[i + 324*t] = Op[i + 86*t] ? R[B[i + 86*t]] * R[C[i + 86*t]] : R[B[i + 86*t]] + R[C[i + 86*t]];
R[i + 325*t] = Op[i + 87*t] ? R[B[i + 87*t]] * R[C[i + 87*t]] : R[B[i + 87*t]] + R[C[i + 87*t]];
R[i + 326*t] = Op[i + 88*t] ? R[B[i + 88*t]] * R[C[i + 88*t]] : R[B[i + 88*t]] + R[C[i + 88*t]];
R[i + 327*t] = Op[i + 89*t] ? R[B[i + 89*t]] * R[C[i + 89*t]] : R[B[i + 89*t]] + R[C[i + 89*t]];
R[i + 328*t] = Op[i + 90*t] ? R[B[i + 90*t]] * R[C[i + 90*t]] : R[B[i + 90*t]] + R[C[i + 90*t]];
R[i + 329*t] = Op[i + 91*t] ? R[B[i + 91*t]] * R[C[i + 91*t]] : R[B[i + 91*t]] + R[C[i + 91*t]];
R[i + 330*t] = Op[i + 92*t] ? R[B[i + 92*t]] * R[C[i + 92*t]] : R[B[i + 92*t]] + R[C[i + 92*t]];
R[i + 331*t] = Op[i + 93*t] ? R[B[i + 93*t]] * R[C[i + 93*t]] : R[B[i + 93*t]] + R[C[i + 93*t]];
R[i + 332*t] = Op[i + 94*t] ? R[B[i + 94*t]] * R[C[i + 94*t]] : R[B[i + 94*t]] + R[C[i + 94*t]];
R[i + 333*t] = Op[i + 95*t] ? R[B[i + 95*t]] * R[C[i + 95*t]] : R[B[i + 95*t]] + R[C[i + 95*t]];
R[i + 334*t] = Op[i + 96*t] ? R[B[i + 96*t]] * R[C[i + 96*t]] : R[B[i + 96*t]] + R[C[i + 96*t]];
R[i + 335*t] = Op[i + 97*t] ? R[B[i + 97*t]] * R[C[i + 97*t]] : R[B[i + 97*t]] + R[C[i + 97*t]];
R[i + 336*t] = Op[i + 98*t] ? R[B[i + 98*t]] * R[C[i + 98*t]] : R[B[i + 98*t]] + R[C[i + 98*t]];
R[i + 337*t] = Op[i + 99*t] ? R[B[i + 99*t]] * R[C[i + 99*t]] : R[B[i + 99*t]] + R[C[i + 99*t]];
R[i + 338*t] = Op[i + 100*t] ? R[B[i + 100*t]] * R[C[i + 100*t]] : R[B[i + 100*t]] + R[C[i + 100*t]];
R[i + 339*t] = Op[i + 101*t] ? R[B[i + 101*t]] * R[C[i + 101*t]] : R[B[i + 101*t]] + R[C[i + 101*t]];
R[i + 340*t] = Op[i + 102*t] ? R[B[i + 102*t]] * R[C[i + 102*t]] : R[B[i + 102*t]] + R[C[i + 102*t]];
R[i + 341*t] = Op[i + 103*t] ? R[B[i + 103*t]] * R[C[i + 103*t]] : R[B[i + 103*t]] + R[C[i + 103*t]];
R[i + 342*t] = Op[i + 104*t] ? R[B[i + 104*t]] * R[C[i + 104*t]] : R[B[i + 104*t]] + R[C[i + 104*t]];
R[i + 343*t] = Op[i + 105*t] ? R[B[i + 105*t]] * R[C[i + 105*t]] : R[B[i + 105*t]] + R[C[i + 105*t]];
R[i + 344*t] = Op[i + 106*t] ? R[B[i + 106*t]] * R[C[i + 106*t]] : R[B[i + 106*t]] + R[C[i + 106*t]];
R[i + 345*t] = Op[i + 107*t] ? R[B[i + 107*t]] * R[C[i + 107*t]] : R[B[i + 107*t]] + R[C[i + 107*t]];
R[i + 346*t] = Op[i + 108*t] ? R[B[i + 108*t]] * R[C[i + 108*t]] : R[B[i + 108*t]] + R[C[i + 108*t]];
R[i + 347*t] = Op[i + 109*t] ? R[B[i + 109*t]] * R[C[i + 109*t]] : R[B[i + 109*t]] + R[C[i + 109*t]];
R[i + 348*t] = Op[i + 110*t] ? R[B[i + 110*t]] * R[C[i + 110*t]] : R[B[i + 110*t]] + R[C[i + 110*t]];
R[i + 349*t] = Op[i + 111*t] ? R[B[i + 111*t]] * R[C[i + 111*t]] : R[B[i + 111*t]] + R[C[i + 111*t]];
R[i + 350*t] = Op[i + 112*t] ? R[B[i + 112*t]] * R[C[i + 112*t]] : R[B[i + 112*t]] + R[C[i + 112*t]];
R[i + 351*t] = Op[i + 113*t] ? R[B[i + 113*t]] * R[C[i + 113*t]] : R[B[i + 113*t]] + R[C[i + 113*t]];
R[i + 352*t] = Op[i + 114*t] ? R[B[i + 114*t]] * R[C[i + 114*t]] : R[B[i + 114*t]] + R[C[i + 114*t]];
R[i + 353*t] = Op[i + 115*t] ? R[B[i + 115*t]] * R[C[i + 115*t]] : R[B[i + 115*t]] + R[C[i + 115*t]];
R[i + 354*t] = Op[i + 116*t] ? R[B[i + 116*t]] * R[C[i + 116*t]] : R[B[i + 116*t]] + R[C[i + 116*t]];
R[i + 355*t] = Op[i + 117*t] ? R[B[i + 117*t]] * R[C[i + 117*t]] : R[B[i + 117*t]] + R[C[i + 117*t]];
R[i + 356*t] = Op[i + 118*t] ? R[B[i + 118*t]] * R[C[i + 118*t]] : R[B[i + 118*t]] + R[C[i + 118*t]];
R[i + 357*t] = Op[i + 119*t] ? R[B[i + 119*t]] * R[C[i + 119*t]] : R[B[i + 119*t]] + R[C[i + 119*t]];
R[i + 358*t] = Op[i + 120*t] ? R[B[i + 120*t]] * R[C[i + 120*t]] : R[B[i + 120*t]] + R[C[i + 120*t]];
__syncthreads();
R[i + 359*t] = Op[i + 121*t] ? R[B[i + 121*t]] * R[C[i + 121*t]] : R[B[i + 121*t]] + R[C[i + 121*t]];
R[i + 360*t] = Op[i + 122*t] ? R[B[i + 122*t]] * R[C[i + 122*t]] : R[B[i + 122*t]] + R[C[i + 122*t]];
R[i + 361*t] = Op[i + 123*t] ? R[B[i + 123*t]] * R[C[i + 123*t]] : R[B[i + 123*t]] + R[C[i + 123*t]];
R[i + 362*t] = Op[i + 124*t] ? R[B[i + 124*t]] * R[C[i + 124*t]] : R[B[i + 124*t]] + R[C[i + 124*t]];
R[i + 363*t] = Op[i + 125*t] ? R[B[i + 125*t]] * R[C[i + 125*t]] : R[B[i + 125*t]] + R[C[i + 125*t]];
R[i + 364*t] = Op[i + 126*t] ? R[B[i + 126*t]] * R[C[i + 126*t]] : R[B[i + 126*t]] + R[C[i + 126*t]];
R[i + 365*t] = Op[i + 127*t] ? R[B[i + 127*t]] * R[C[i + 127*t]] : R[B[i + 127*t]] + R[C[i + 127*t]];
R[i + 366*t] = Op[i + 128*t] ? R[B[i + 128*t]] * R[C[i + 128*t]] : R[B[i + 128*t]] + R[C[i + 128*t]];
R[i + 367*t] = Op[i + 129*t] ? R[B[i + 129*t]] * R[C[i + 129*t]] : R[B[i + 129*t]] + R[C[i + 129*t]];
R[i + 368*t] = Op[i + 130*t] ? R[B[i + 130*t]] * R[C[i + 130*t]] : R[B[i + 130*t]] + R[C[i + 130*t]];
R[i + 369*t] = Op[i + 131*t] ? R[B[i + 131*t]] * R[C[i + 131*t]] : R[B[i + 131*t]] + R[C[i + 131*t]];
R[i + 370*t] = Op[i + 132*t] ? R[B[i + 132*t]] * R[C[i + 132*t]] : R[B[i + 132*t]] + R[C[i + 132*t]];
R[i + 371*t] = Op[i + 133*t] ? R[B[i + 133*t]] * R[C[i + 133*t]] : R[B[i + 133*t]] + R[C[i + 133*t]];
R[i + 372*t] = Op[i + 134*t] ? R[B[i + 134*t]] * R[C[i + 134*t]] : R[B[i + 134*t]] + R[C[i + 134*t]];
R[i + 373*t] = Op[i + 135*t] ? R[B[i + 135*t]] * R[C[i + 135*t]] : R[B[i + 135*t]] + R[C[i + 135*t]];
R[i + 374*t] = Op[i + 136*t] ? R[B[i + 136*t]] * R[C[i + 136*t]] : R[B[i + 136*t]] + R[C[i + 136*t]];
R[i + 375*t] = Op[i + 137*t] ? R[B[i + 137*t]] * R[C[i + 137*t]] : R[B[i + 137*t]] + R[C[i + 137*t]];
R[i + 376*t] = Op[i + 138*t] ? R[B[i + 138*t]] * R[C[i + 138*t]] : R[B[i + 138*t]] + R[C[i + 138*t]];
R[i + 377*t] = Op[i + 139*t] ? R[B[i + 139*t]] * R[C[i + 139*t]] : R[B[i + 139*t]] + R[C[i + 139*t]];
R[i + 378*t] = Op[i + 140*t] ? R[B[i + 140*t]] * R[C[i + 140*t]] : R[B[i + 140*t]] + R[C[i + 140*t]];
R[i + 379*t] = Op[i + 141*t] ? R[B[i + 141*t]] * R[C[i + 141*t]] : R[B[i + 141*t]] + R[C[i + 141*t]];
R[i + 380*t] = Op[i + 142*t] ? R[B[i + 142*t]] * R[C[i + 142*t]] : R[B[i + 142*t]] + R[C[i + 142*t]];
R[i + 381*t] = Op[i + 143*t] ? R[B[i + 143*t]] * R[C[i + 143*t]] : R[B[i + 143*t]] + R[C[i + 143*t]];
R[i + 382*t] = Op[i + 144*t] ? R[B[i + 144*t]] * R[C[i + 144*t]] : R[B[i + 144*t]] + R[C[i + 144*t]];
R[i + 383*t] = Op[i + 145*t] ? R[B[i + 145*t]] * R[C[i + 145*t]] : R[B[i + 145*t]] + R[C[i + 145*t]];
R[i + 384*t] = Op[i + 146*t] ? R[B[i + 146*t]] * R[C[i + 146*t]] : R[B[i + 146*t]] + R[C[i + 146*t]];
R[i + 385*t] = Op[i + 147*t] ? R[B[i + 147*t]] * R[C[i + 147*t]] : R[B[i + 147*t]] + R[C[i + 147*t]];
R[i + 386*t] = Op[i + 148*t] ? R[B[i + 148*t]] * R[C[i + 148*t]] : R[B[i + 148*t]] + R[C[i + 148*t]];
R[i + 387*t] = Op[i + 149*t] ? R[B[i + 149*t]] * R[C[i + 149*t]] : R[B[i + 149*t]] + R[C[i + 149*t]];
R[i + 388*t] = Op[i + 150*t] ? R[B[i + 150*t]] * R[C[i + 150*t]] : R[B[i + 150*t]] + R[C[i + 150*t]];
R[i + 389*t] = Op[i + 151*t] ? R[B[i + 151*t]] * R[C[i + 151*t]] : R[B[i + 151*t]] + R[C[i + 151*t]];
R[i + 390*t] = Op[i + 152*t] ? R[B[i + 152*t]] * R[C[i + 152*t]] : R[B[i + 152*t]] + R[C[i + 152*t]];
R[i + 391*t] = Op[i + 153*t] ? R[B[i + 153*t]] * R[C[i + 153*t]] : R[B[i + 153*t]] + R[C[i + 153*t]];
R[i + 392*t] = Op[i + 154*t] ? R[B[i + 154*t]] * R[C[i + 154*t]] : R[B[i + 154*t]] + R[C[i + 154*t]];
R[i + 393*t] = Op[i + 155*t] ? R[B[i + 155*t]] * R[C[i + 155*t]] : R[B[i + 155*t]] + R[C[i + 155*t]];
R[i + 394*t] = Op[i + 156*t] ? R[B[i + 156*t]] * R[C[i + 156*t]] : R[B[i + 156*t]] + R[C[i + 156*t]];
R[i + 395*t] = Op[i + 157*t] ? R[B[i + 157*t]] * R[C[i + 157*t]] : R[B[i + 157*t]] + R[C[i + 157*t]];
R[i + 396*t] = Op[i + 158*t] ? R[B[i + 158*t]] * R[C[i + 158*t]] : R[B[i + 158*t]] + R[C[i + 158*t]];
R[i + 397*t] = Op[i + 159*t] ? R[B[i + 159*t]] * R[C[i + 159*t]] : R[B[i + 159*t]] + R[C[i + 159*t]];
R[i + 398*t] = Op[i + 160*t] ? R[B[i + 160*t]] * R[C[i + 160*t]] : R[B[i + 160*t]] + R[C[i + 160*t]];
R[i + 399*t] = Op[i + 161*t] ? R[B[i + 161*t]] * R[C[i + 161*t]] : R[B[i + 161*t]] + R[C[i + 161*t]];
R[i + 400*t] = Op[i + 162*t] ? R[B[i + 162*t]] * R[C[i + 162*t]] : R[B[i + 162*t]] + R[C[i + 162*t]];
R[i + 401*t] = Op[i + 163*t] ? R[B[i + 163*t]] * R[C[i + 163*t]] : R[B[i + 163*t]] + R[C[i + 163*t]];
R[i + 402*t] = Op[i + 164*t] ? R[B[i + 164*t]] * R[C[i + 164*t]] : R[B[i + 164*t]] + R[C[i + 164*t]];
R[i + 403*t] = Op[i + 165*t] ? R[B[i + 165*t]] * R[C[i + 165*t]] : R[B[i + 165*t]] + R[C[i + 165*t]];
R[i + 404*t] = Op[i + 166*t] ? R[B[i + 166*t]] * R[C[i + 166*t]] : R[B[i + 166*t]] + R[C[i + 166*t]];
R[i + 405*t] = Op[i + 167*t] ? R[B[i + 167*t]] * R[C[i + 167*t]] : R[B[i + 167*t]] + R[C[i + 167*t]];
R[i + 406*t] = Op[i + 168*t] ? R[B[i + 168*t]] * R[C[i + 168*t]] : R[B[i + 168*t]] + R[C[i + 168*t]];
R[i + 407*t] = Op[i + 169*t] ? R[B[i + 169*t]] * R[C[i + 169*t]] : R[B[i + 169*t]] + R[C[i + 169*t]];
R[i + 408*t] = Op[i + 170*t] ? R[B[i + 170*t]] * R[C[i + 170*t]] : R[B[i + 170*t]] + R[C[i + 170*t]];
R[i + 409*t] = Op[i + 171*t] ? R[B[i + 171*t]] * R[C[i + 171*t]] : R[B[i + 171*t]] + R[C[i + 171*t]];
R[i + 410*t] = Op[i + 172*t] ? R[B[i + 172*t]] * R[C[i + 172*t]] : R[B[i + 172*t]] + R[C[i + 172*t]];
R[i + 411*t] = Op[i + 173*t] ? R[B[i + 173*t]] * R[C[i + 173*t]] : R[B[i + 173*t]] + R[C[i + 173*t]];
R[i + 412*t] = Op[i + 174*t] ? R[B[i + 174*t]] * R[C[i + 174*t]] : R[B[i + 174*t]] + R[C[i + 174*t]];
R[i + 413*t] = Op[i + 175*t] ? R[B[i + 175*t]] * R[C[i + 175*t]] : R[B[i + 175*t]] + R[C[i + 175*t]];
R[i + 414*t] = Op[i + 176*t] ? R[B[i + 176*t]] * R[C[i + 176*t]] : R[B[i + 176*t]] + R[C[i + 176*t]];
R[i + 415*t] = Op[i + 177*t] ? R[B[i + 177*t]] * R[C[i + 177*t]] : R[B[i + 177*t]] + R[C[i + 177*t]];
R[i + 416*t] = Op[i + 178*t] ? R[B[i + 178*t]] * R[C[i + 178*t]] : R[B[i + 178*t]] + R[C[i + 178*t]];
__syncthreads();
R[i + 417*t] = Op[i + 179*t] ? R[B[i + 179*t]] * R[C[i + 179*t]] : R[B[i + 179*t]] + R[C[i + 179*t]];
R[i + 418*t] = Op[i + 180*t] ? R[B[i + 180*t]] * R[C[i + 180*t]] : R[B[i + 180*t]] + R[C[i + 180*t]];
R[i + 419*t] = Op[i + 181*t] ? R[B[i + 181*t]] * R[C[i + 181*t]] : R[B[i + 181*t]] + R[C[i + 181*t]];
R[i + 420*t] = Op[i + 182*t] ? R[B[i + 182*t]] * R[C[i + 182*t]] : R[B[i + 182*t]] + R[C[i + 182*t]];
R[i + 421*t] = Op[i + 183*t] ? R[B[i + 183*t]] * R[C[i + 183*t]] : R[B[i + 183*t]] + R[C[i + 183*t]];
R[i + 422*t] = Op[i + 184*t] ? R[B[i + 184*t]] * R[C[i + 184*t]] : R[B[i + 184*t]] + R[C[i + 184*t]];
R[i + 423*t] = Op[i + 185*t] ? R[B[i + 185*t]] * R[C[i + 185*t]] : R[B[i + 185*t]] + R[C[i + 185*t]];
R[i + 424*t] = Op[i + 186*t] ? R[B[i + 186*t]] * R[C[i + 186*t]] : R[B[i + 186*t]] + R[C[i + 186*t]];
R[i + 425*t] = Op[i + 187*t] ? R[B[i + 187*t]] * R[C[i + 187*t]] : R[B[i + 187*t]] + R[C[i + 187*t]];
R[i + 426*t] = Op[i + 188*t] ? R[B[i + 188*t]] * R[C[i + 188*t]] : R[B[i + 188*t]] + R[C[i + 188*t]];
R[i + 427*t] = Op[i + 189*t] ? R[B[i + 189*t]] * R[C[i + 189*t]] : R[B[i + 189*t]] + R[C[i + 189*t]];
R[i + 428*t] = Op[i + 190*t] ? R[B[i + 190*t]] * R[C[i + 190*t]] : R[B[i + 190*t]] + R[C[i + 190*t]];
R[i + 429*t] = Op[i + 191*t] ? R[B[i + 191*t]] * R[C[i + 191*t]] : R[B[i + 191*t]] + R[C[i + 191*t]];
R[i + 430*t] = Op[i + 192*t] ? R[B[i + 192*t]] * R[C[i + 192*t]] : R[B[i + 192*t]] + R[C[i + 192*t]];
R[i + 431*t] = Op[i + 193*t] ? R[B[i + 193*t]] * R[C[i + 193*t]] : R[B[i + 193*t]] + R[C[i + 193*t]];
R[i + 432*t] = Op[i + 194*t] ? R[B[i + 194*t]] * R[C[i + 194*t]] : R[B[i + 194*t]] + R[C[i + 194*t]];
R[i + 433*t] = Op[i + 195*t] ? R[B[i + 195*t]] * R[C[i + 195*t]] : R[B[i + 195*t]] + R[C[i + 195*t]];
R[i + 434*t] = Op[i + 196*t] ? R[B[i + 196*t]] * R[C[i + 196*t]] : R[B[i + 196*t]] + R[C[i + 196*t]];
R[i + 435*t] = Op[i + 197*t] ? R[B[i + 197*t]] * R[C[i + 197*t]] : R[B[i + 197*t]] + R[C[i + 197*t]];
R[i + 436*t] = Op[i + 198*t] ? R[B[i + 198*t]] * R[C[i + 198*t]] : R[B[i + 198*t]] + R[C[i + 198*t]];
R[i + 437*t] = Op[i + 199*t] ? R[B[i + 199*t]] * R[C[i + 199*t]] : R[B[i + 199*t]] + R[C[i + 199*t]];
R[i + 438*t] = Op[i + 200*t] ? R[B[i + 200*t]] * R[C[i + 200*t]] : R[B[i + 200*t]] + R[C[i + 200*t]];
R[i + 439*t] = Op[i + 201*t] ? R[B[i + 201*t]] * R[C[i + 201*t]] : R[B[i + 201*t]] + R[C[i + 201*t]];
R[i + 440*t] = Op[i + 202*t] ? R[B[i + 202*t]] * R[C[i + 202*t]] : R[B[i + 202*t]] + R[C[i + 202*t]];
R[i + 441*t] = Op[i + 203*t] ? R[B[i + 203*t]] * R[C[i + 203*t]] : R[B[i + 203*t]] + R[C[i + 203*t]];
R[i + 442*t] = Op[i + 204*t] ? R[B[i + 204*t]] * R[C[i + 204*t]] : R[B[i + 204*t]] + R[C[i + 204*t]];
R[i + 443*t] = Op[i + 205*t] ? R[B[i + 205*t]] * R[C[i + 205*t]] : R[B[i + 205*t]] + R[C[i + 205*t]];
R[i + 444*t] = Op[i + 206*t] ? R[B[i + 206*t]] * R[C[i + 206*t]] : R[B[i + 206*t]] + R[C[i + 206*t]];
R[i + 445*t] = Op[i + 207*t] ? R[B[i + 207*t]] * R[C[i + 207*t]] : R[B[i + 207*t]] + R[C[i + 207*t]];
R[i + 446*t] = Op[i + 208*t] ? R[B[i + 208*t]] * R[C[i + 208*t]] : R[B[i + 208*t]] + R[C[i + 208*t]];
R[i + 447*t] = Op[i + 209*t] ? R[B[i + 209*t]] * R[C[i + 209*t]] : R[B[i + 209*t]] + R[C[i + 209*t]];
R[i + 448*t] = Op[i + 210*t] ? R[B[i + 210*t]] * R[C[i + 210*t]] : R[B[i + 210*t]] + R[C[i + 210*t]];
R[i + 449*t] = Op[i + 211*t] ? R[B[i + 211*t]] * R[C[i + 211*t]] : R[B[i + 211*t]] + R[C[i + 211*t]];
R[i + 450*t] = Op[i + 212*t] ? R[B[i + 212*t]] * R[C[i + 212*t]] : R[B[i + 212*t]] + R[C[i + 212*t]];
R[i + 451*t] = Op[i + 213*t] ? R[B[i + 213*t]] * R[C[i + 213*t]] : R[B[i + 213*t]] + R[C[i + 213*t]];
R[i + 452*t] = Op[i + 214*t] ? R[B[i + 214*t]] * R[C[i + 214*t]] : R[B[i + 214*t]] + R[C[i + 214*t]];
R[i + 453*t] = Op[i + 215*t] ? R[B[i + 215*t]] * R[C[i + 215*t]] : R[B[i + 215*t]] + R[C[i + 215*t]];
R[i + 454*t] = Op[i + 216*t] ? R[B[i + 216*t]] * R[C[i + 216*t]] : R[B[i + 216*t]] + R[C[i + 216*t]];
R[i + 455*t] = Op[i + 217*t] ? R[B[i + 217*t]] * R[C[i + 217*t]] : R[B[i + 217*t]] + R[C[i + 217*t]];
R[i + 456*t] = Op[i + 218*t] ? R[B[i + 218*t]] * R[C[i + 218*t]] : R[B[i + 218*t]] + R[C[i + 218*t]];
R[i + 457*t] = Op[i + 219*t] ? R[B[i + 219*t]] * R[C[i + 219*t]] : R[B[i + 219*t]] + R[C[i + 219*t]];
R[i + 458*t] = Op[i + 220*t] ? R[B[i + 220*t]] * R[C[i + 220*t]] : R[B[i + 220*t]] + R[C[i + 220*t]];
R[i + 459*t] = Op[i + 221*t] ? R[B[i + 221*t]] * R[C[i + 221*t]] : R[B[i + 221*t]] + R[C[i + 221*t]];
R[i + 460*t] = Op[i + 222*t] ? R[B[i + 222*t]] * R[C[i + 222*t]] : R[B[i + 222*t]] + R[C[i + 222*t]];
R[i + 461*t] = Op[i + 223*t] ? R[B[i + 223*t]] * R[C[i + 223*t]] : R[B[i + 223*t]] + R[C[i + 223*t]];
R[i + 462*t] = Op[i + 224*t] ? R[B[i + 224*t]] * R[C[i + 224*t]] : R[B[i + 224*t]] + R[C[i + 224*t]];
R[i + 463*t] = Op[i + 225*t] ? R[B[i + 225*t]] * R[C[i + 225*t]] : R[B[i + 225*t]] + R[C[i + 225*t]];
R[i + 464*t] = Op[i + 226*t] ? R[B[i + 226*t]] * R[C[i + 226*t]] : R[B[i + 226*t]] + R[C[i + 226*t]];
R[i + 465*t] = Op[i + 227*t] ? R[B[i + 227*t]] * R[C[i + 227*t]] : R[B[i + 227*t]] + R[C[i + 227*t]];
R[i + 466*t] = Op[i + 228*t] ? R[B[i + 228*t]] * R[C[i + 228*t]] : R[B[i + 228*t]] + R[C[i + 228*t]];
R[i + 467*t] = Op[i + 229*t] ? R[B[i + 229*t]] * R[C[i + 229*t]] : R[B[i + 229*t]] + R[C[i + 229*t]];
R[i + 468*t] = Op[i + 230*t] ? R[B[i + 230*t]] * R[C[i + 230*t]] : R[B[i + 230*t]] + R[C[i + 230*t]];
R[i + 469*t] = Op[i + 231*t] ? R[B[i + 231*t]] * R[C[i + 231*t]] : R[B[i + 231*t]] + R[C[i + 231*t]];
R[i + 470*t] = Op[i + 232*t] ? R[B[i + 232*t]] * R[C[i + 232*t]] : R[B[i + 232*t]] + R[C[i + 232*t]];
R[i + 471*t] = Op[i + 233*t] ? R[B[i + 233*t]] * R[C[i + 233*t]] : R[B[i + 233*t]] + R[C[i + 233*t]];
R[i + 472*t] = Op[i + 234*t] ? R[B[i + 234*t]] * R[C[i + 234*t]] : R[B[i + 234*t]] + R[C[i + 234*t]];
R[i + 473*t] = Op[i + 235*t] ? R[B[i + 235*t]] * R[C[i + 235*t]] : R[B[i + 235*t]] + R[C[i + 235*t]];
__syncthreads();
R[i + 474*t] = Op[i + 236*t] ? R[B[i + 236*t]] * R[C[i + 236*t]] : R[B[i + 236*t]] + R[C[i + 236*t]];
R[i + 475*t] = Op[i + 237*t] ? R[B[i + 237*t]] * R[C[i + 237*t]] : R[B[i + 237*t]] + R[C[i + 237*t]];
R[i + 476*t] = Op[i + 238*t] ? R[B[i + 238*t]] * R[C[i + 238*t]] : R[B[i + 238*t]] + R[C[i + 238*t]];
R[i + 477*t] = Op[i + 239*t] ? R[B[i + 239*t]] * R[C[i + 239*t]] : R[B[i + 239*t]] + R[C[i + 239*t]];
R[i + 478*t] = Op[i + 240*t] ? R[B[i + 240*t]] * R[C[i + 240*t]] : R[B[i + 240*t]] + R[C[i + 240*t]];
R[i + 479*t] = Op[i + 241*t] ? R[B[i + 241*t]] * R[C[i + 241*t]] : R[B[i + 241*t]] + R[C[i + 241*t]];
R[i + 480*t] = Op[i + 242*t] ? R[B[i + 242*t]] * R[C[i + 242*t]] : R[B[i + 242*t]] + R[C[i + 242*t]];
R[i + 481*t] = Op[i + 243*t] ? R[B[i + 243*t]] * R[C[i + 243*t]] : R[B[i + 243*t]] + R[C[i + 243*t]];
R[i + 482*t] = Op[i + 244*t] ? R[B[i + 244*t]] * R[C[i + 244*t]] : R[B[i + 244*t]] + R[C[i + 244*t]];
R[i + 483*t] = Op[i + 245*t] ? R[B[i + 245*t]] * R[C[i + 245*t]] : R[B[i + 245*t]] + R[C[i + 245*t]];
R[i + 484*t] = Op[i + 246*t] ? R[B[i + 246*t]] * R[C[i + 246*t]] : R[B[i + 246*t]] + R[C[i + 246*t]];
R[i + 485*t] = Op[i + 247*t] ? R[B[i + 247*t]] * R[C[i + 247*t]] : R[B[i + 247*t]] + R[C[i + 247*t]];
R[i + 486*t] = Op[i + 248*t] ? R[B[i + 248*t]] * R[C[i + 248*t]] : R[B[i + 248*t]] + R[C[i + 248*t]];
R[i + 487*t] = Op[i + 249*t] ? R[B[i + 249*t]] * R[C[i + 249*t]] : R[B[i + 249*t]] + R[C[i + 249*t]];
R[i + 488*t] = Op[i + 250*t] ? R[B[i + 250*t]] * R[C[i + 250*t]] : R[B[i + 250*t]] + R[C[i + 250*t]];
R[i + 489*t] = Op[i + 251*t] ? R[B[i + 251*t]] * R[C[i + 251*t]] : R[B[i + 251*t]] + R[C[i + 251*t]];
R[i + 490*t] = Op[i + 252*t] ? R[B[i + 252*t]] * R[C[i + 252*t]] : R[B[i + 252*t]] + R[C[i + 252*t]];
R[i + 491*t] = Op[i + 253*t] ? R[B[i + 253*t]] * R[C[i + 253*t]] : R[B[i + 253*t]] + R[C[i + 253*t]];
R[i + 492*t] = Op[i + 254*t] ? R[B[i + 254*t]] * R[C[i + 254*t]] : R[B[i + 254*t]] + R[C[i + 254*t]];
R[i + 493*t] = Op[i + 255*t] ? R[B[i + 255*t]] * R[C[i + 255*t]] : R[B[i + 255*t]] + R[C[i + 255*t]];
R[i + 494*t] = Op[i + 256*t] ? R[B[i + 256*t]] * R[C[i + 256*t]] : R[B[i + 256*t]] + R[C[i + 256*t]];
R[i + 495*t] = Op[i + 257*t] ? R[B[i + 257*t]] * R[C[i + 257*t]] : R[B[i + 257*t]] + R[C[i + 257*t]];
R[i + 496*t] = Op[i + 258*t] ? R[B[i + 258*t]] * R[C[i + 258*t]] : R[B[i + 258*t]] + R[C[i + 258*t]];
R[i + 497*t] = Op[i + 259*t] ? R[B[i + 259*t]] * R[C[i + 259*t]] : R[B[i + 259*t]] + R[C[i + 259*t]];
R[i + 498*t] = Op[i + 260*t] ? R[B[i + 260*t]] * R[C[i + 260*t]] : R[B[i + 260*t]] + R[C[i + 260*t]];
R[i + 499*t] = Op[i + 261*t] ? R[B[i + 261*t]] * R[C[i + 261*t]] : R[B[i + 261*t]] + R[C[i + 261*t]];
R[i + 500*t] = Op[i + 262*t] ? R[B[i + 262*t]] * R[C[i + 262*t]] : R[B[i + 262*t]] + R[C[i + 262*t]];
R[i + 501*t] = Op[i + 263*t] ? R[B[i + 263*t]] * R[C[i + 263*t]] : R[B[i + 263*t]] + R[C[i + 263*t]];
__syncthreads();
R[i + 502*t] = Op[i + 264*t] ? R[B[i + 264*t]] * R[C[i + 264*t]] : R[B[i + 264*t]] + R[C[i + 264*t]];
R[i + 503*t] = Op[i + 265*t] ? R[B[i + 265*t]] * R[C[i + 265*t]] : R[B[i + 265*t]] + R[C[i + 265*t]];
R[i + 504*t] = Op[i + 266*t] ? R[B[i + 266*t]] * R[C[i + 266*t]] : R[B[i + 266*t]] + R[C[i + 266*t]];
R[i + 505*t] = Op[i + 267*t] ? R[B[i + 267*t]] * R[C[i + 267*t]] : R[B[i + 267*t]] + R[C[i + 267*t]];
R[i + 506*t] = Op[i + 268*t] ? R[B[i + 268*t]] * R[C[i + 268*t]] : R[B[i + 268*t]] + R[C[i + 268*t]];
R[i + 507*t] = Op[i + 269*t] ? R[B[i + 269*t]] * R[C[i + 269*t]] : R[B[i + 269*t]] + R[C[i + 269*t]];
R[i + 508*t] = Op[i + 270*t] ? R[B[i + 270*t]] * R[C[i + 270*t]] : R[B[i + 270*t]] + R[C[i + 270*t]];
R[i + 509*t] = Op[i + 271*t] ? R[B[i + 271*t]] * R[C[i + 271*t]] : R[B[i + 271*t]] + R[C[i + 271*t]];
R[i + 510*t] = Op[i + 272*t] ? R[B[i + 272*t]] * R[C[i + 272*t]] : R[B[i + 272*t]] + R[C[i + 272*t]];
R[i + 511*t] = Op[i + 273*t] ? R[B[i + 273*t]] * R[C[i + 273*t]] : R[B[i + 273*t]] + R[C[i + 273*t]];
R[i + 512*t] = Op[i + 274*t] ? R[B[i + 274*t]] * R[C[i + 274*t]] : R[B[i + 274*t]] + R[C[i + 274*t]];
R[i + 513*t] = Op[i + 275*t] ? R[B[i + 275*t]] * R[C[i + 275*t]] : R[B[i + 275*t]] + R[C[i + 275*t]];
R[i + 514*t] = Op[i + 276*t] ? R[B[i + 276*t]] * R[C[i + 276*t]] : R[B[i + 276*t]] + R[C[i + 276*t]];
R[i + 515*t] = Op[i + 277*t] ? R[B[i + 277*t]] * R[C[i + 277*t]] : R[B[i + 277*t]] + R[C[i + 277*t]];
R[i + 516*t] = Op[i + 278*t] ? R[B[i + 278*t]] * R[C[i + 278*t]] : R[B[i + 278*t]] + R[C[i + 278*t]];
R[i + 517*t] = Op[i + 279*t] ? R[B[i + 279*t]] * R[C[i + 279*t]] : R[B[i + 279*t]] + R[C[i + 279*t]];
R[i + 518*t] = Op[i + 280*t] ? R[B[i + 280*t]] * R[C[i + 280*t]] : R[B[i + 280*t]] + R[C[i + 280*t]];
R[i + 519*t] = Op[i + 281*t] ? R[B[i + 281*t]] * R[C[i + 281*t]] : R[B[i + 281*t]] + R[C[i + 281*t]];
R[i + 520*t] = Op[i + 282*t] ? R[B[i + 282*t]] * R[C[i + 282*t]] : R[B[i + 282*t]] + R[C[i + 282*t]];
R[i + 521*t] = Op[i + 283*t] ? R[B[i + 283*t]] * R[C[i + 283*t]] : R[B[i + 283*t]] + R[C[i + 283*t]];
R[i + 522*t] = Op[i + 284*t] ? R[B[i + 284*t]] * R[C[i + 284*t]] : R[B[i + 284*t]] + R[C[i + 284*t]];
R[i + 523*t] = Op[i + 285*t] ? R[B[i + 285*t]] * R[C[i + 285*t]] : R[B[i + 285*t]] + R[C[i + 285*t]];
R[i + 524*t] = Op[i + 286*t] ? R[B[i + 286*t]] * R[C[i + 286*t]] : R[B[i + 286*t]] + R[C[i + 286*t]];
R[i + 525*t] = Op[i + 287*t] ? R[B[i + 287*t]] * R[C[i + 287*t]] : R[B[i + 287*t]] + R[C[i + 287*t]];
__syncthreads();
R[i + 526*t] = Op[i + 288*t] ? R[B[i + 288*t]] * R[C[i + 288*t]] : R[B[i + 288*t]] + R[C[i + 288*t]];
R[i + 527*t] = Op[i + 289*t] ? R[B[i + 289*t]] * R[C[i + 289*t]] : R[B[i + 289*t]] + R[C[i + 289*t]];
R[i + 528*t] = Op[i + 290*t] ? R[B[i + 290*t]] * R[C[i + 290*t]] : R[B[i + 290*t]] + R[C[i + 290*t]];
R[i + 529*t] = Op[i + 291*t] ? R[B[i + 291*t]] * R[C[i + 291*t]] : R[B[i + 291*t]] + R[C[i + 291*t]];
R[i + 530*t] = Op[i + 292*t] ? R[B[i + 292*t]] * R[C[i + 292*t]] : R[B[i + 292*t]] + R[C[i + 292*t]];
R[i + 531*t] = Op[i + 293*t] ? R[B[i + 293*t]] * R[C[i + 293*t]] : R[B[i + 293*t]] + R[C[i + 293*t]];
R[i + 532*t] = Op[i + 294*t] ? R[B[i + 294*t]] * R[C[i + 294*t]] : R[B[i + 294*t]] + R[C[i + 294*t]];
R[i + 533*t] = Op[i + 295*t] ? R[B[i + 295*t]] * R[C[i + 295*t]] : R[B[i + 295*t]] + R[C[i + 295*t]];
R[i + 534*t] = Op[i + 296*t] ? R[B[i + 296*t]] * R[C[i + 296*t]] : R[B[i + 296*t]] + R[C[i + 296*t]];
R[i + 535*t] = Op[i + 297*t] ? R[B[i + 297*t]] * R[C[i + 297*t]] : R[B[i + 297*t]] + R[C[i + 297*t]];
R[i + 536*t] = Op[i + 298*t] ? R[B[i + 298*t]] * R[C[i + 298*t]] : R[B[i + 298*t]] + R[C[i + 298*t]];
R[i + 537*t] = Op[i + 299*t] ? R[B[i + 299*t]] * R[C[i + 299*t]] : R[B[i + 299*t]] + R[C[i + 299*t]];
R[i + 538*t] = Op[i + 300*t] ? R[B[i + 300*t]] * R[C[i + 300*t]] : R[B[i + 300*t]] + R[C[i + 300*t]];
R[i + 539*t] = Op[i + 301*t] ? R[B[i + 301*t]] * R[C[i + 301*t]] : R[B[i + 301*t]] + R[C[i + 301*t]];
R[i + 540*t] = Op[i + 302*t] ? R[B[i + 302*t]] * R[C[i + 302*t]] : R[B[i + 302*t]] + R[C[i + 302*t]];
R[i + 541*t] = Op[i + 303*t] ? R[B[i + 303*t]] * R[C[i + 303*t]] : R[B[i + 303*t]] + R[C[i + 303*t]];
R[i + 542*t] = Op[i + 304*t] ? R[B[i + 304*t]] * R[C[i + 304*t]] : R[B[i + 304*t]] + R[C[i + 304*t]];
R[i + 543*t] = Op[i + 305*t] ? R[B[i + 305*t]] * R[C[i + 305*t]] : R[B[i + 305*t]] + R[C[i + 305*t]];
R[i + 544*t] = Op[i + 306*t] ? R[B[i + 306*t]] * R[C[i + 306*t]] : R[B[i + 306*t]] + R[C[i + 306*t]];
R[i + 545*t] = Op[i + 307*t] ? R[B[i + 307*t]] * R[C[i + 307*t]] : R[B[i + 307*t]] + R[C[i + 307*t]];
__syncthreads();
R[i + 546*t] = Op[i + 308*t] ? R[B[i + 308*t]] * R[C[i + 308*t]] : R[B[i + 308*t]] + R[C[i + 308*t]];
R[i + 547*t] = Op[i + 309*t] ? R[B[i + 309*t]] * R[C[i + 309*t]] : R[B[i + 309*t]] + R[C[i + 309*t]];
R[i + 548*t] = Op[i + 310*t] ? R[B[i + 310*t]] * R[C[i + 310*t]] : R[B[i + 310*t]] + R[C[i + 310*t]];
R[i + 549*t] = Op[i + 311*t] ? R[B[i + 311*t]] * R[C[i + 311*t]] : R[B[i + 311*t]] + R[C[i + 311*t]];
R[i + 550*t] = Op[i + 312*t] ? R[B[i + 312*t]] * R[C[i + 312*t]] : R[B[i + 312*t]] + R[C[i + 312*t]];
R[i + 551*t] = Op[i + 313*t] ? R[B[i + 313*t]] * R[C[i + 313*t]] : R[B[i + 313*t]] + R[C[i + 313*t]];
R[i + 552*t] = Op[i + 314*t] ? R[B[i + 314*t]] * R[C[i + 314*t]] : R[B[i + 314*t]] + R[C[i + 314*t]];
R[i + 553*t] = Op[i + 315*t] ? R[B[i + 315*t]] * R[C[i + 315*t]] : R[B[i + 315*t]] + R[C[i + 315*t]];
R[i + 554*t] = Op[i + 316*t] ? R[B[i + 316*t]] * R[C[i + 316*t]] : R[B[i + 316*t]] + R[C[i + 316*t]];
R[i + 555*t] = Op[i + 317*t] ? R[B[i + 317*t]] * R[C[i + 317*t]] : R[B[i + 317*t]] + R[C[i + 317*t]];
R[i + 556*t] = Op[i + 318*t] ? R[B[i + 318*t]] * R[C[i + 318*t]] : R[B[i + 318*t]] + R[C[i + 318*t]];
__syncthreads();
R[i + 557*t] = Op[i + 319*t] ? R[B[i + 319*t]] * R[C[i + 319*t]] : R[B[i + 319*t]] + R[C[i + 319*t]];
R[i + 558*t] = Op[i + 320*t] ? R[B[i + 320*t]] * R[C[i + 320*t]] : R[B[i + 320*t]] + R[C[i + 320*t]];
R[i + 559*t] = Op[i + 321*t] ? R[B[i + 321*t]] * R[C[i + 321*t]] : R[B[i + 321*t]] + R[C[i + 321*t]];
R[i + 560*t] = Op[i + 322*t] ? R[B[i + 322*t]] * R[C[i + 322*t]] : R[B[i + 322*t]] + R[C[i + 322*t]];
R[i + 561*t] = Op[i + 323*t] ? R[B[i + 323*t]] * R[C[i + 323*t]] : R[B[i + 323*t]] + R[C[i + 323*t]];
R[i + 562*t] = Op[i + 324*t] ? R[B[i + 324*t]] * R[C[i + 324*t]] : R[B[i + 324*t]] + R[C[i + 324*t]];
R[i + 563*t] = Op[i + 325*t] ? R[B[i + 325*t]] * R[C[i + 325*t]] : R[B[i + 325*t]] + R[C[i + 325*t]];
R[i + 564*t] = Op[i + 326*t] ? R[B[i + 326*t]] * R[C[i + 326*t]] : R[B[i + 326*t]] + R[C[i + 326*t]];
__syncthreads();
R[i + 565*t] = Op[i + 327*t] ? R[B[i + 327*t]] * R[C[i + 327*t]] : R[B[i + 327*t]] + R[C[i + 327*t]];
R[i + 566*t] = Op[i + 328*t] ? R[B[i + 328*t]] * R[C[i + 328*t]] : R[B[i + 328*t]] + R[C[i + 328*t]];
R[i + 567*t] = Op[i + 329*t] ? R[B[i + 329*t]] * R[C[i + 329*t]] : R[B[i + 329*t]] + R[C[i + 329*t]];
R[i + 568*t] = Op[i + 330*t] ? R[B[i + 330*t]] * R[C[i + 330*t]] : R[B[i + 330*t]] + R[C[i + 330*t]];
R[i + 569*t] = Op[i + 331*t] ? R[B[i + 331*t]] * R[C[i + 331*t]] : R[B[i + 331*t]] + R[C[i + 331*t]];
R[i + 570*t] = Op[i + 332*t] ? R[B[i + 332*t]] * R[C[i + 332*t]] : R[B[i + 332*t]] + R[C[i + 332*t]];
__syncthreads();
R[i + 571*t] = Op[i + 333*t] ? R[B[i + 333*t]] * R[C[i + 333*t]] : R[B[i + 333*t]] + R[C[i + 333*t]];
R[i + 572*t] = Op[i + 334*t] ? R[B[i + 334*t]] * R[C[i + 334*t]] : R[B[i + 334*t]] + R[C[i + 334*t]];
R[i + 573*t] = Op[i + 335*t] ? R[B[i + 335*t]] * R[C[i + 335*t]] : R[B[i + 335*t]] + R[C[i + 335*t]];
R[i + 574*t] = Op[i + 336*t] ? R[B[i + 336*t]] * R[C[i + 336*t]] : R[B[i + 336*t]] + R[C[i + 336*t]];
__syncthreads();
R[i + 575*t] = Op[i + 337*t] ? R[B[i + 337*t]] * R[C[i + 337*t]] : R[B[i + 337*t]] + R[C[i + 337*t]];
R[i + 576*t] = Op[i + 338*t] ? R[B[i + 338*t]] * R[C[i + 338*t]] : R[B[i + 338*t]] + R[C[i + 338*t]];
R[i + 577*t] = Op[i + 339*t] ? R[B[i + 339*t]] * R[C[i + 339*t]] : R[B[i + 339*t]] + R[C[i + 339*t]];
__syncthreads();
R[i + 578*t] = Op[i + 340*t] ? R[B[i + 340*t]] * R[C[i + 340*t]] : R[B[i + 340*t]] + R[C[i + 340*t]];
R[i + 579*t] = Op[i + 341*t] ? R[B[i + 341*t]] * R[C[i + 341*t]] : R[B[i + 341*t]] + R[C[i + 341*t]];
__syncthreads();
R[i + 580*t] = Op[i + 342*t] ? R[B[i + 342*t]] * R[C[i + 342*t]] : R[B[i + 342*t]] + R[C[i + 342*t]];
R[i + 581*t] = Op[i + 343*t] ? R[B[i + 343*t]] * R[C[i + 343*t]] : R[B[i + 343*t]] + R[C[i + 343*t]];
__syncthreads();
R[i + 582*t] = Op[i + 344*t] ? R[B[i + 344*t]] * R[C[i + 344*t]] : R[B[i + 344*t]] + R[C[i + 344*t]];
__syncthreads();
R[i + 583*t] = Op[i + 345*t] ? R[B[i + 345*t]] * R[C[i + 345*t]] : R[B[i + 345*t]] + R[C[i + 345*t]];
__syncthreads();
R[i + 584*t] = Op[i + 346*t] ? R[B[i + 346*t]] * R[C[i + 346*t]] : R[B[i + 346*t]] + R[C[i + 346*t]];
__syncthreads();
R[i + 585*t] = Op[i + 347*t] ? R[B[i + 347*t]] * R[C[i + 347*t]] : R[B[i + 347*t]] + R[C[i + 347*t]];
__syncthreads();
R[i + 586*t] = Op[i + 348*t] ? R[B[i + 348*t]] * R[C[i + 348*t]] : R[B[i + 348*t]] + R[C[i + 348*t]];
__syncthreads();
R[i + 587*t] = Op[i + 349*t] ? R[B[i + 349*t]] * R[C[i + 349*t]] : R[B[i + 349*t]] + R[C[i + 349*t]];
__syncthreads();
R[i + 588*t] = Op[i + 350*t] ? R[B[i + 350*t]] * R[C[i + 350*t]] : R[B[i + 350*t]] + R[C[i + 350*t]];
__syncthreads();
R[i + 589*t] = Op[i + 351*t] ? R[B[i + 351*t]] * R[C[i + 351*t]] : R[B[i + 351*t]] + R[C[i + 351*t]];
__syncthreads();
R[i + 590*t] = Op[i + 352*t] ? R[B[i + 352*t]] * R[C[i + 352*t]] : R[B[i + 352*t]] + R[C[i + 352*t]];
__syncthreads();
R[i + 591*t] = Op[i + 353*t] ? R[B[i + 353*t]] * R[C[i + 353*t]] : R[B[i + 353*t]] + R[C[i + 353*t]];
__syncthreads();
R[i + 592*t] = Op[i + 354*t] ? R[B[i + 354*t]] * R[C[i + 354*t]] : R[B[i + 354*t]] + R[C[i + 354*t]];
__syncthreads();
R[i + 593*t] = Op[i + 355*t] ? R[B[i + 355*t]] * R[C[i + 355*t]] : R[B[i + 355*t]] + R[C[i + 355*t]];
if (i==0) { final += R[593*t]; }
__syncthreads();
}
if (i==0) { A[0]= final;}
}
|
9,875 | #include <stdio.h>
#include <stdlib.h>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
using namespace std;
typedef unsigned uint;
typedef double dbl;
#define TITLE_DIM (32U)
#define exit_if(cnd_value, msg) \
do { \
if (cnd_value) { \
if (errno) \
perror(msg); \
else \
fprintf(stderr, "error: %s\n", msg); \
exit(EXIT_FAILURE); \
} \
} while (0)
#define CSC(call) \
do { \
cudaError_t res = call; \
if (res != cudaSuccess) { \
fprintf(stderr, "ERROR in %s:%d. Message: %s\n", \
__FILE__, __LINE__, cudaGetErrorString(res)); \
exit(EXIT_FAILURE); \
} \
} while(0)
__host__ __device__ inline int mapping(
const uint x, const uint y, const uint w, const uint h
) {
return (y % h) * w + (x % w);
}
__global__ static void transpose(
const dbl * const __restrict__ input, dbl * const __restrict__ output,
const uint w, const uint h
) {
__shared__ dbl title[TITLE_DIM][TITLE_DIM];
const uint
idxX = blockDim.x * blockIdx.x, idxY = blockDim.y * blockIdx.y,
offsetX = blockDim.x * gridDim.x, offsetY = blockDim.y * gridDim.y;
for (uint y = idxY; y < h; y += offsetY) {
for (uint x = idxX; x < w; x += offsetX) {
uint i = x + threadIdx.x, j = y + threadIdx.y;
title[threadIdx.x][threadIdx.y] = input[mapping(i, j, w, h)];
__syncthreads();
i = x + threadIdx.y;
j = y + threadIdx.x;
if (i < w && j < h)
output[mapping(j, i, h, w)] = title[threadIdx.y][threadIdx.x];
__syncthreads();
}
}
}
static ostream &outMatrix(
ostream &os,
const dbl * const __restrict__ matrix,
const uint w, const uint h
) {
for (uint j = 0; j < h; ++j) {
for (uint i = 0; i < w; ++i)
os << setprecision(10) << scientific << matrix[j * w + i] << ' ';
os << endl;
}
return os;
}
int main(const int argc, char ** const argv) {
ios_base::sync_with_stdio(false);
cerr.tie(nullptr);
cin.tie(nullptr);
uint w, h;
cin >> h >> w;
const uint size = sizeof(dbl) * w * h;
dbl * const __restrict__ hostMatrix = (dbl *) malloc(size);
exit_if(hostMatrix == NULL, "malloc()");
for (uint j = 0; j < h; ++j)
for (uint i = 0; i < w; ++i)
cin >> hostMatrix[j * w + i];
dbl *deviceInput, *deviceOutput;
CSC(cudaMalloc(&deviceInput, size));
CSC(cudaMemcpy(deviceInput, hostMatrix, size, cudaMemcpyHostToDevice));
CSC(cudaMalloc(&deviceOutput, size));
transpose<<<dim3(TITLE_DIM, TITLE_DIM), dim3(TITLE_DIM, TITLE_DIM)>>>(
deviceInput, deviceOutput, w, h
);
CSC(cudaGetLastError());
CSC(cudaMemcpy(hostMatrix, deviceOutput, size, cudaMemcpyDeviceToHost));
CSC(cudaFree(deviceInput));
CSC(cudaFree(deviceOutput));
outMatrix(cout, hostMatrix, w, h);
free(hostMatrix);
return 0;
}
|
9,876 | #define N 64
#define B 1
#define T 64
__global__ void dl(int* in)
{
int tid = threadIdx.x + blockIdx.x * blockDim.x;
// The warps in this block take different paths; the synctreads calls
// will cause a deadlock.
if(tid > 31)
{
if(tid % 2 == 0)
in[tid]++;
__syncthreads();
}
else {
if(tid % 2 == 1)
in[tid]--;
__syncthreads();
}
} |
9,877 | #include "includes.h"
__global__ void matrixMultiply(double *a, double *b, double *c, int cr, int cc, int ac, int bc){
long x = blockIdx.x * blockDim.x + threadIdx.x; // col
long y = blockIdx.y * blockDim.y + threadIdx.y; // row
double sum = 0;
if(x < cc && y < cr){
for(int k = 0; k<ac; k++){
sum+= a[y*ac+k] * b[k*bc+x];
}
c[y * cc + x] = sum;
}
} |
9,878 | /******************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
******************************************************************************/
#include <stdio.h>
#define TILE_SIZE 16
__global__ void mysgemm(int m, int n, int k, const float *A, const float *B, float* C) {
/********************************************************************
*
* Compute C = A x B
* where A is a (m x k) matrix
* where B is a (k x n) matrix
* where C is a (m x n) matrix
*
* Use shared memory for tiling
*
********************************************************************/
// INSERT KERNEL CODE HERE
__shared__ float ds_A[TILE_SIZE][TILE_SIZE];
__shared__ float ds_B[TILE_SIZE][TILE_SIZE];
// determine row/col location
int Row = blockIdx.y * blockDim.y + threadIdx.y;
int Col = blockIdx.x * blockDim.x + threadIdx.x;
float Cvalue = 0; // product sum
// LOOP DOESN'T WORK WHEN ONE DIMENSION IS MUCH LARGER THAN THE OTHERS
// NEED TO FIGURE OUT HOW TO TILE APPROPRIATE NUMBER ACROSS AND DOWN BOTH A AND B MATRICES
// loop over tiles of matrices M and N to compute product sum
for(int c = 0; c < (TILE_SIZE+k-1)/TILE_SIZE+1; c++) {
// load M and N tiles into shared memory
if(Row < m && c*TILE_SIZE+threadIdx.x < k)
ds_A[threadIdx.y][threadIdx.x] = A[Row*k + c*TILE_SIZE+threadIdx.x]; // A[Row][c*TILE_SIZE + threadIdx.x];
else
ds_A[threadIdx.y][threadIdx.x] = 0.0;
if(c*TILE_SIZE + threadIdx.y < k && Col < n)
ds_B[threadIdx.y][threadIdx.x] = B[(c*TILE_SIZE+threadIdx.y) * n + Col]; // B[c*TILE_SIZE + threadIdx.y][Col];
else
ds_B[threadIdx.y][threadIdx.x] = 0.0;
__syncthreads(); // wait for all loads to finish
if(Row < m && Col < n) {
for(int i = 0; i < TILE_SIZE; i++)
Cvalue += ds_A[threadIdx.y][i] * ds_B[i][threadIdx.x];
}
__syncthreads();
}
if(Row < m && Col < n)
C[Row*n+Col] = Cvalue;
}
void basicSgemm(char transa, char transb, int m, int n, int k, float alpha, const float *A, int lda, const float *B, int ldb, float beta, float *C, int ldc)
{
if ((transa != 'N') && (transa != 'n')) {
printf("unsupported value of 'transa'\n");
return;
}
if ((transb != 'N') && (transb != 'n')) {
printf("unsupported value of 'transb'\n");
return;
}
if ((alpha - 1.0f > 1e-10) || (alpha - 1.0f < -1e-10)) {
printf("unsupported value of alpha\n");
return;
}
if ((beta - 0.0f > 1e-10) || (beta - 0.0f < -1e-10)) {
printf("unsupported value of beta\n");
return;
}
// Initialize thread block and kernel grid dimensions ---------------------
const unsigned int BLOCK_SIZE = TILE_SIZE;
//INSERT CODE HERE
dim3 DimGrid( (n+BLOCK_SIZE-1)/BLOCK_SIZE + 1, (m+BLOCK_SIZE-1)/BLOCK_SIZE + 1, 1);
dim3 DimBlock( BLOCK_SIZE, BLOCK_SIZE, 1);
// Invoke CUDA kernel -----------------------------------------------------
//INSERT CODE HERE
mysgemm<<<DimGrid, DimBlock>>>(m, n, k, A, B, C);
}
|
9,879 | #include <stdlib.h>
#include <stdio.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
__global__
void saxpy(int n, float a, float *x, float *y)
{
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += blockDim.x * gridDim.x)
{
y[i] = a * x[i] + y[i];
__syncthreads();
}
}
int main(void)
{
int N = 1<<25;
printf("%d\n", N);
float *x, *y, *d_x, *d_y;
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
x = (float*)malloc(N*sizeof(float));
y = (float*)malloc(N*sizeof(float));
cudaMalloc(&d_x, N*sizeof(float));
cudaMalloc(&d_y, N*sizeof(float));
for (int n = 0; n < N; n++) {
x[n] = 1.0f;
y[n] = 2.0f;
}
cudaMemcpy(d_x, x, N*sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(d_y, y, N*sizeof(float), cudaMemcpyHostToDevice);
int numSMs;
cudaDeviceGetAttribute(&numSMs, cudaDevAttrMultiProcessorCount, 0);
printf("Blocks Threads Max error Elapsed time Eff. Memory Throughput "
"Peak Memory Throughput Eff. Computational Throughput\n");
for(int j =1; j < 10; j++){
for(int i = 1; i < 10; i++){
int numThreads = i*32, numBlocks = j *32;
printf("%d ", numBlocks);
printf("%d ", numThreads);
cudaEventRecord(start);
saxpy<<<numBlocks, numThreads>>>(N, 2.0f, d_x, d_y);
cudaEventRecord(stop);
cudaMemcpy(y, d_y, N*sizeof(float), cudaMemcpyDeviceToHost);
cudaEventSynchronize(stop);
float milliseconds = 0;
cudaEventElapsedTime(&milliseconds, start, stop);
float maxError = 0.0f;
for (int k = 0; k < N; k++)
maxError = fmaxf(maxError, fabsf(y[k]-4.0f));
printf("%f ", maxError);
printf("%f ", milliseconds);
// for Memory Throughput Benchmarking:
printf("%f GB/s ", 4.0*N*3.0/milliseconds/1.0e6);
int clockRate;
int busWidth;
cudaDeviceGetAttribute(&clockRate, cudaDevAttrMemoryClockRate, 0);
cudaDeviceGetAttribute(&busWidth, cudaDevAttrGlobalMemoryBusWidth, 0);
printf("%f GB/s ", 2.0*clockRate*(busWidth/8.0)/1.0e6);
// for Computational Throughput Benchmarking:
// (1* multiply + 1*add) times the amount of vector entries
printf("%f GFLOP/s \n",(2*N/milliseconds)/1.0e6);
}
}
cudaEventDestroy(start);
cudaEventDestroy(stop);
cudaFree(d_x);
cudaFree(d_y);
free(x);
free(y);
}
|
9,880 | #include <memory>
#include <iostream>
#include <cuda_runtime.h>
#include <stdio.h>
// Main Program
int main(void)
{
int device_Count = 0;
cudaGetDeviceCount(&device_Count);
// This function returns count of number of CUDA enable devices and 0 if there are no CUDA capable devices.
if (device_Count == 0)
{
printf("There are no available device(s) that support CUDA\n");
}
else
{
printf("Detected %d CUDA Capable device(s)\n", device_Count);
}
}
|
9,881 | #include "cuda.h"
#include "stdio.h"
#define threads_per_block 10
void printi(int i){
printf("%d\n", i);
}
void init_CPU_array(int* arreglo_b, int n){
for(int i=0; i< n; i++)
{
int valor = 1;
arreglo_b[(i*16) + 0] = valor;
arreglo_b[(i*16) + 1] = valor;
arreglo_b[(i*16) + 2] = valor;
arreglo_b[(i*16) + 3] = valor;
arreglo_b[(i*16) + 4] = valor;
arreglo_b[(i*16) + 5] = valor;
arreglo_b[(i*16) + 6] = valor;
arreglo_b[(i*16) + 7] = valor;
arreglo_b[(i*16) + 8] = valor;
arreglo_b[(i*16) + 9] = valor;
arreglo_b[(i*16) + 10] = valor;
arreglo_b[(i*16) + 11] = valor;
arreglo_b[(i*16) + 12] = valor;
arreglo_b[(i*16) + 13] = valor;
arreglo_b[(i*16) + 14] = valor;
arreglo_b[(i*16) + 15] = valor;
}
}
void print_CPU_array(int array[], int n){
for(int i = 0; i < n; i++) {
printi(array[i]);
}
}
void print_CPU_matrix(int array[], int n){
for(int i = 0; i < n; i++) {
if(i % 16 == 0)
printf("%s\n", "");
printf("%d ", array[i]);
}
}
__global__ void sumador(int* arreglo, int* result, float N)
{
__shared__ int compartida[threads_per_block * 16];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
if(tid > N * 16)
return;
compartida[threadIdx.x] = arreglo[tid];
__syncthreads();
for(int i=1; pow((float)2,(float)i-1) < N; i++)
{
int acceso = pow((float)2,(float)i);
int offset = pow((float)2, (float)i-1);
int t_id = (threadIdx.x/16) * 16;
int new_access = t_id * acceso + threadIdx.x % 16 ;
int new_offset = new_access + offset * 16;
if(t_id < (160.0/acceso) && (new_offset < (160)))
{
compartida[new_access] = compartida[new_access] + compartida[new_offset];
compartida[new_offset] = 0;
printf("GRUPO: %d - ITERACION: %d - TID %d - ACCESO: %d - OFFSET %d - REMAINING: %d \n", blockIdx.x,
i, tid, new_access , new_offset, threadIdx.x * acceso + offset);
}
__syncthreads();
}
//el primer thread de cada grupo guarda el resultado
if(threadIdx.x < 16)
result[blockIdx.x * 16 + threadIdx.x] = compartida[threadIdx.x];
}
int* arreglo_suma1;
int* d_arreglo_suma1;
int* arreglo_result;
int* d_arreglo_suma2;
int main(int argc, char** argv){
int N = 15;
//##################################################################################
//############################## INICIALIZACION ####################################
int byte_size = N * sizeof(int) * 16;
arreglo_suma1 = (int*) malloc(byte_size);
cudaMalloc(&d_arreglo_suma1, byte_size);
arreglo_result = (int*) malloc(byte_size);
cudaMalloc(&d_arreglo_suma2, byte_size);
init_CPU_array(arreglo_suma1, N);
cudaMemcpy(d_arreglo_suma1, arreglo_suma1, byte_size, cudaMemcpyHostToDevice);
//##################################################################################
//################################ EJECUCIONES #####################################
dim3 miBloque1D_1(threads_per_block * 16,1);
dim3 miGrid1D_1(2,1);
sumador<<<miGrid1D_1, miBloque1D_1>>>(d_arreglo_suma1, d_arreglo_suma2, N);
dim3 miGrid1D_2(1,1);
sumador<<<miGrid1D_2, miBloque1D_1>>>(d_arreglo_suma2, d_arreglo_suma1, 2);
//##################################################################################
//################################### READ BACK #####################################
cudaMemcpy(arreglo_result, d_arreglo_suma1, N * sizeof(int) * 16, cudaMemcpyDeviceToHost);
printf("%s\n", "RESULTADO DE LA SUMA:");
print_CPU_matrix(arreglo_result, N * 16);
free(arreglo_suma1);
cudaFree (d_arreglo_suma1);
free(arreglo_result);
cudaFree (d_arreglo_suma2);
} |
9,882 | #include <thrust/sort.h>
#include <thrust/device_vector.h>
#include <thrust/device_ptr.h>
extern "C" void sort_func(float *r, int *jlist, int N)
{
float *r_p;
int *jlist_p;
cudaMalloc(&r_p , N*sizeof(float));
cudaMalloc(&jlist_p, N*sizeof(int));
cudaMemcpy(r_p , r , sizeof(float)*N, cudaMemcpyHostToDevice); // Host -> Device
cudaMemcpy(jlist_p, jlist, sizeof(int)*N, cudaMemcpyHostToDevice); // Host -> Device
thrust::device_ptr<float> r_d(r_p);
thrust::device_ptr<int> jlist_d(jlist_p);
thrust::sort_by_key(r_d, r_d + N, jlist_d);
r_p = thrust::raw_pointer_cast(r_d);
jlist_p = thrust::raw_pointer_cast(jlist_d);
cudaMemcpy(r , r_p, sizeof(float)*N, cudaMemcpyDeviceToHost); // Device -> Host
cudaMemcpy(jlist, jlist_p, sizeof(int)*N, cudaMemcpyDeviceToHost); // Device -> Host
cudaFree(r_p);
cudaFree(jlist_p);
}
|
9,883 | #include "includes.h"
__global__ void interleave(float* input, float* output, int size) {
const int numThreads = blockDim.x * gridDim.x;
const int threadID = blockIdx.x * blockDim.x + threadIdx.x;
for (int i = threadID; i < size; i += numThreads) {
output[2 * i] = input[i];
output[2 * i + 1] = input[size + 2 + i];
}
} |
9,884 | // Program corresponding to CythonSBM.cu that can be run directly from the command lin. For testing purposes.
//#include <cmath>
#include <curand_kernel.h>
#include <stdio.h>
#include <cuda.h>
// Error handling code used in Nvidia example found here: https://docs.nvidia.com/cuda/curand/host-api-overview.html#generator-options
#define CUDA_CALL(x) do { if((x)!=cudaSuccess) { \
printf("Error at %s:%d\n",__FILE__,__LINE__);\
return EXIT_FAILURE;}} while(0)
//Function to generate brownian path, which is stored in results. Executes on the GPU, hence the __global__ identifier
__global__ void randomWalk(double *results, int T, int N) {
curandState_t state;
curand_init (1234, 0, 0, &state);
double random;
results[0] = 0.0;
for (int j = 1; j < N; j++) {
random = curand_normal_double(&state);
results[j] = results[j-1] + random * sqrt((double) T / N);
}
/*
Generate 2 doubles at once. Test later to see if this is more efficient:
double curand_normal2_double (state);
*/
}
int main() {
//Arrays to store the brownian path, one for the host and one for the device
int N = 500;
int T = 1;
double results[N];
double *dev_results;
// Allocate space for results array on device
CUDA_CALL(cudaMalloc(&dev_results, N * sizeof(double)));
//Call GPU function, with ony one block and one thread
randomWalk<<<1, 1>>>(dev_results, T, N);
//copy results array from device to host
CUDA_CALL(cudaMemcpy(results, dev_results , N * sizeof(double), cudaMemcpyDeviceToHost));
// print out path
for (int i=0; i<N; i++) {
printf("%f ", results[i]);
}
printf("\n");
//clean up
CUDA_CALL(cudaFree(dev_results));
return 0;
}
|
9,885 | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <assert.h>
#include <unistd.h>
#include <sys/time.h>
/* Problem size */
#define M 1024
#define N 1024
#define FLOAT_N 3214212.01
const unsigned int THREADS_PER_BLOCK = 32;
void init_arrays(double* data)
{
int i, j;
for (i = 0; i < M; i++) {
for (j = 0; j < N; j++) {
data[i*N + j] = ((double) i*j) / M;
}
}
}
void covariance(double* data, double* symmat, double* mean)
{
int i, j, j1,j2;
/* Determine mean of column vectors of input data matrix */
for (j = 0; j < M; j++) {
mean[j] = 0.0;
for (i = 0; i < N; i++) {
mean[j] += data[i*M + j];
}
mean[j] /= FLOAT_N;
}
/* Center the column vectors. */
for (i = 0; i < N; i++) {
for (j = 0; j < M; j++) {
data[i*M + j] -= mean[j];
}
}
/* Calculate the m * m covariance matrix. */
for (j1 = 0; j1 < M; j1++) {
for (j2 = j1; j2 < M; j2++) {
symmat[j1*M + j2] = 0.0;
for (i = 0; i < N; i++) {
symmat[j1*M + j2] += data[i*M + j1] * data[i*M + j2];
}
symmat[j2*M + j1] = symmat[j1*M + j2];
}
}
}
__global__ void covariance_kernel(double* data, double* symmat, double* mean)
{
int j = threadIdx.x + blockDim.x * blockIdx.x;
int i,j1;
/* Determine mean of column vectors of input data matrix */
mean[j] = 0.0;
double temp = 0;
for (i = 0; i < N; i++) {
temp += data[i*M + j];
}
double loc_mean =temp/FLOAT_N;
mean[j] = loc_mean;
/* Center the column vectors. */
for (i = 0; i < N; i++) {
data[i*M + j] -= loc_mean;
}
/* Calculate the m * m covariance matrix. */
for (j1 = j; j1 < M; j1++) {
symmat[j*M + j1] = 0.0;
temp = 0;
for (i = 0; i < N; i++) {
temp+= data[i*M + j] * data[i*M + j1];
}
symmat[j*M + j1] = temp;
symmat[j1*M + j] = temp;
}
}
int main(int argc, char *argv[])
{
//Serial program variables
double *data;
double *symmat;
double *mean;
struct timeval cpu_start, cpu_end;
//Host and Device variables for CUDA
double *data_h;
double *symmat_h;
double *mean_h;
double *data_d;
double *symmat_d;
double *mean_d;
struct timeval gpu_start, gpu_end;
//Main Memory allocation
data = (double*)malloc(M*N*sizeof(double));
symmat = (double*)malloc(M*M*sizeof(double));
mean = (double*)malloc(M*sizeof(double));
data_h = (double*)malloc(M*N*sizeof(double));
symmat_h = (double*)malloc(M*M*sizeof(double));
mean_h = (double*)malloc(M*sizeof(double));
//Initialize data
init_arrays(data);
init_arrays(data_h);
//GPU Gloval Memory allocation
cudaMalloc((void**)&data_d, M*N*sizeof(double));
cudaMalloc((void**)&symmat_d, M*M*sizeof(double));
cudaMalloc((void**)&mean_d, M*sizeof(double));
//Start of CUDA code
gettimeofday(&gpu_start, NULL);
cudaMemcpy(data_d, data_h, M*N*sizeof(double), cudaMemcpyHostToDevice);
//const unsigned int numBlocksInCol= ceil((double)M/THREADS_PER_BLOCK);
const unsigned int numBlocksInRow= ceil((double)N/THREADS_PER_BLOCK);
dim3 gridDim(numBlocksInRow, 1, 1), blockDim(THREADS_PER_BLOCK, 1, 1);
//Kernel Call lul
covariance_kernel <<< gridDim, blockDim >>>(data_d, symmat_d, mean_d);
cudaMemcpy(symmat_h, symmat_d , M*M*sizeof(double), cudaMemcpyDeviceToHost);
gettimeofday(&gpu_end, NULL);
fprintf(stdout, "GPU Runtime: %0.6lfs\n", ((gpu_end.tv_sec - gpu_start.tv_sec) * 1000000.0 + (gpu_end.tv_usec - gpu_start.tv_usec)) / 1000000.0);
//Start of Serial code
gettimeofday(&cpu_start, NULL);
covariance(data, symmat, mean);
gettimeofday(&cpu_end, NULL);
fprintf(stdout, "CPU Runtime: %0.6lfs\n", ((cpu_end.tv_sec - cpu_start.tv_sec) * 1000000.0 + (cpu_end.tv_usec - cpu_start.tv_usec)) / 1000000.0);
//Error checking CUDA results according to Serial results
int errors = 0;
for (int i = 0; i < M; ++i) {
for (int j = 0; j < M; ++j) {
double error=fabs((symmat[i*M + j] -symmat_h[i*M+j])/symmat_h[i*M+j]);
if(error>0.000000000000001){
//printf("Error %.20f in (%d,%d)\n",error,i,j);
//printf("Value %.20f in (%d,%d)\n",symmat_h[i*M+j],i,j);
errors++;
}
}
}
printf("Symmat\n\tTotal Results: %d\n\tError count: %d\n",M*M,errors);
// cudaMemcpy(data_h, data_d , M*N*sizeof(double), cudaMemcpyDeviceToHost);
// errors = 0;
// for (int i = 0; i < M; ++i) {
// for (int j = 0; j < N; ++j) {
// double error=fabs(data[i*N + j] -data_h[i*N+j]);
// if(error>0.000000000000001){
// //printf("Error %.20f in (%d,%d)\n",error,i,j);
// errors++;
// }
// }
// }
// printf("Data\n\tTotal Results: %d\n\tError count: %d\n",M*M,errors);
//Free allocated memory
free(data);
free(symmat);
free(mean);
free(data_h);
free(symmat_h);
free(mean_h);
cudaFree(data_d);
cudaFree(symmat_d);
cudaFree(mean_d);
return 0;
}
|
9,886 | /*************************************************************************
> File Name: 07atomic_pref.cu
> Author: dong xu
> Mail: gwmxyd@163.com
> Created Time: 2016年05月24日 星期二 15时49分40秒
************************************************************************/
#include <stdio.h>
#include <cuda_runtime.h>
#define GRIDSIZE 20
#define BLOCKSIZE 32
__global__ void atomic_shared_kernel(int* res)
{
__shared__ int seq;
if(threadIdx.x == 0)
seq = 1;
__syncthreads();
atomicAdd(&seq,1);
__syncthreads();
if(threadIdx.x == 0)
res[blockIdx.x] = seq;
}
__global__ void atomic_global_kernel(int* res)
{
atomicAdd(res,1);
}
__global__ void shared_kernel(int* res)
{
__shared__ int seq;
if(threadIdx.x == 0)
seq = blockIdx.x;
__syncthreads();
seq++;
__syncthreads();
if(threadIdx.x == 0)
res[blockIdx.x] = seq;
}
__global__ void global_kernel(volatile int* res)
{
*res++;
}
int main()
{
int i;
int* dev_seq_shared;
int* dev_seq_global;
int* seq_global;
int* seq_shared;
cudaEvent_t start,stop;
float time;
cudaError_t cudaStatus;
cudaEventCreate(&start);
cudaEventCreate(&stop);
seq_shared = (int*)malloc(GRIDSIZE*sizeof(int));
seq_global = (int*)malloc(sizeof(int));
*seq_global = 2;
cudaStatus = cudaMalloc((void**)&dev_seq_shared,GRIDSIZE*sizeof(int));
cudaStatus = cudaMalloc((void**)&dev_seq_global,sizeof(int));
cudaStatus = cudaMemcpy(dev_seq_global,seq_global,sizeof(int),cudaMemcpyHostToDevice);
cudaEventRecord(start,0);
global_kernel<<<GRIDSIZE,BLOCKSIZE>>>(dev_seq_global);
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&time,start,stop);
cudaStatus = cudaMemcpy(seq_global,dev_seq_global,sizeof(int),cudaMemcpyDeviceToHost);
printf("global_kernel:seq = %d,time : %fms.\n",*seq_global,time);
cudaEventRecord(start,0);
atomic_global_kernel<<<GRIDSIZE,BLOCKSIZE>>>(dev_seq_global);
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&time,start,stop);
cudaStatus = cudaMemcpy(seq_global,dev_seq_global,sizeof(int),cudaMemcpyDeviceToHost);
printf("atomic_global_kernel:seq = %d,time : %fms.\n",*seq_global,time);
cudaEventRecord(start,0);
shared_kernel<<<GRIDSIZE,BLOCKSIZE>>>(dev_seq_shared);
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&time,start,stop);
cudaStatus = cudaMemcpy(seq_shared,dev_seq_shared,GRIDSIZE*sizeof(int),cudaMemcpyDeviceToHost);
printf("shared_kernel time : %fms.\n",time);
for(i = 0;i < GRIDSIZE;i++){
printf("%d ",seq_shared[i]);
if(i%10 == 9)
printf("\n");
}
printf("\n");
cudaEventRecord(start,0);
atomic_shared_kernel<<<GRIDSIZE,BLOCKSIZE>>>(dev_seq_shared);
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&time,start,stop);
cudaStatus = cudaMemcpy(seq_shared,dev_seq_shared,sizeof(int),cudaMemcpyDeviceToHost);
printf("atomic_kernel time : %fms.\n",time);
for(i = 0;i < GRIDSIZE;i++){
printf("%d ",seq_shared[i]);
if(i%10 == 9)
printf("\n");
}
printf("\n");
//cudaEventDestory(start);
//cudaEventDestory(stop);
return 0;
}
|
9,887 | #include <cuda.h>
#include <stdio.h>
int main(){
int devCount;
cudaGetDeviceCount(&devCount);
printf("%d\n", devCount);
return 0;
}
|
9,888 | /**
* Configuration indexes.
*/
#define NUMBER_OF_IMAGES conf[0]
#define NUMBER_OF_INPUTS conf[1]
#define NUMBER_OF_OUTPUTS conf[2]
/**
* The memory shared between the threads of each block.
*/
extern __shared__ float sdata[];
/**
* Compute the sum of the array's elements.
* @param sdata the array.
* @return the sum.
*/
__device__ float reduce_sum(float *sdata)
{
for (int i = 1; i < blockDim.x; i++) {
sdata[0] += sdata[i];
}
return sdata[0];
}
/**
* Compute the convolution activation.
* @param conf is the configuration of the kernel.
* @param x is the input activation.
* @param w is the weights of the layer.
* @param y is the output of the layer.
* @return nothing.
*/
extern "C"
__global__ void activation(int *conf, float *x, float *w, float *y)
{
int bid = blockIdx.x * NUMBER_OF_OUTPUTS + blockIdx.y;
sdata[threadIdx.x] = 0;
for (int i = threadIdx.x; i < NUMBER_OF_INPUTS; i += blockDim.x) {
float x_value = (i != 0) ? x[blockIdx.x * (NUMBER_OF_INPUTS - 1) + i - 1] : 1;
sdata[threadIdx.x] += x_value * w[i * gridDim.y + blockIdx.y];
}
__syncthreads();
if (threadIdx.x == 0) {
y[bid] = reduce_sum(sdata);
}
}
/**
* Compute the gradients with respect to the weights.
* @param conf is the configuration of the kernel.
* @param x is the input activation.
* @param g is the gradients with respect to the output.
* @param r is the weights gradients, i.e. output buffer.
* @return nothing.
*/
extern "C"
__global__ void weights_gradients(int *conf, float *x, float *g, float *r)
{
int tid = threadIdx.x;
sdata[tid] = 0;
for (int ii = threadIdx.x; ii < NUMBER_OF_IMAGES; ii += blockDim.x) {
float x_value = (blockIdx.y != 0) ? x[ii * (NUMBER_OF_INPUTS - 1) + blockIdx.y - 1] : 1;
sdata[tid] += x_value * g[ii * NUMBER_OF_OUTPUTS + blockIdx.x];
}
__syncthreads();
if (tid == 0) {
r[blockIdx.y * NUMBER_OF_OUTPUTS + blockIdx.x] = reduce_sum(sdata);
}
}
/**
* Compute the gradients with respect to the weights.
* @param conf is the configuration of the kernel.
* @param w is the weights of the layer.
* @param g is the gradients with respect to the output.
* @param r is the weights gradients, i.e. output buffer.
* @return nothing.
*/
extern "C"
__global__ void inputs_gradients(int *conf, float *w, float *g, float *r)
{
sdata[threadIdx.x] = 0;
for (int i = threadIdx.x; i < NUMBER_OF_OUTPUTS; i += blockDim.x) {
sdata[threadIdx.x] += w[NUMBER_OF_OUTPUTS * (blockIdx.y + 1) + i] * g[blockIdx.x * NUMBER_OF_OUTPUTS + i];
}
__syncthreads();
if (threadIdx.x == 0) {
r[blockIdx.x * (NUMBER_OF_INPUTS - 1) + blockIdx.y] = reduce_sum(sdata);
}
}
|
9,889 | #include <iostream>
#include <math.h>
#include <fstream>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#define PI 3.14159265358979323846
#define SINO_HEIGHT 367
#define SINO_WIDTH 90
__global__ void kernel(float OUT[SINO_HEIGHT][SINO_HEIGHT], float IN[SINO_HEIGHT][SINO_WIDTH]) {
int c = blockIdx.x * blockDim.x + threadIdx.x;
int r = blockIdx.y * blockDim.y + threadIdx.y;
// find the middle index of the projections
int midindex = int(SINO_HEIGHT / 2);
int step = 180 / SINO_WIDTH;
float val = 0;
for (int t = 0; t<SINO_WIDTH; t++) {
float d = (t * step) * (PI / 180.); // angle
int x = c - midindex;
int y = r - midindex;
int rotCoords = round(midindex + x * sin(d) + y * cos(d));
if ((rotCoords > -1) && (rotCoords < SINO_HEIGHT)) {
val += IN[rotCoords][t] / SINO_WIDTH;
}
}
OUT[r][c] = val;
}
template<typename T, size_t cols>
void getData(std::string filename, T mat[][cols], size_t rows);
int main(int argc, char ** argv) {
std::string inputFile = "sinogram.txt";
std::string outputFile = "reconstructed.txt";
// load image in 2D array
float h_sino[SINO_HEIGHT][SINO_WIDTH]; // input
getData(inputFile, h_sino, SINO_HEIGHT);
const int totalProjections = SINO_HEIGHT;
const int totalAngles = SINO_WIDTH;
int step = 180 / totalAngles;
float thetas[totalAngles];
for (int i = 0; i<totalAngles; i++) {
thetas[i] = (i * step) * (PI / 180.);
}
float h_img[totalProjections][totalProjections]; // output
// *************** START CUDA stuff ***************
int SINO_BYTES = sizeof(float) * SINO_HEIGHT * SINO_WIDTH;
int IMG_BYTES = sizeof(float) * totalProjections * totalProjections;
// declare GPU memory pointers
float (*d_sino)[SINO_WIDTH];
float (*d_img)[totalProjections];
// allocate GPU memory
cudaMalloc((void**)&d_sino, SINO_BYTES);
cudaMalloc((void**)&d_img, IMG_BYTES);
// transfer the array to the GPU
cudaMemcpy(d_sino, h_sino, SINO_BYTES, cudaMemcpyHostToDevice);
// launch the kernel
dim3 blocks(20, 20);
dim3 threads(18, 18);
kernel <<< blocks, threads >>>(d_img, d_sino);
// copy back the result array to the CPU
cudaMemcpy(h_img, d_img, IMG_BYTES, cudaMemcpyDeviceToHost);
cudaFree(d_sino);
cudaFree(d_img);
// *************** END CUDA stuff ***************
// save to file
std::ofstream fout;
fout.open(outputFile.c_str());
fout << "[ ";
for (int i = 0; i<totalProjections; i++) {
for (int j = 0; j<totalProjections; j++) {
fout << h_img[i][j];
if (j<totalProjections - 1) {
fout << ", ";
}
else if (i<totalProjections - 1) {
fout << "; ";
}
}
}
fout << " ]";
fout.close();
return 0;
}
template<typename T, size_t cols>
void getData(std::string filename, T mat[][cols], size_t rows) {
std::ifstream fin;
fin.open(filename.c_str());
if (!fin) { std::cerr << "cannot open file"; }
for (int i = 0; i<rows; i++) {
for (int j = 0; j<cols; j++) {
fin >> mat[i][j];
}
}
fin.close();
}
|
9,890 | #include <vector>
#include <iostream>
#include <cstdint>
#include <cmath>
__global__ void vector_sum(std::size_t _size,
float _scale,
float* _a,
float* _b){
const std::size_t index = blockIdx.x*blockDim.x + threadIdx.x;
if (index < _size)
_a[index] = _scale*_a[index] + _b[index];
}
int main(int argc, char *argv[])
{
std::size_t vector_size = (1<<20);
if(argc>1)
vector_size*=std::stoi(argv[1]);
std::cout << "vector sum: " << vector_size << " elements" << std::endl;
std::vector<float> host_a(vector_size,1.f);
std::vector<float> host_b(vector_size,2.f);
const float host_d = 42.f;
//gpu relevant code
float * device_a=nullptr, *device_b=nullptr;
const std::size_t vector_size_byte=vector_size*sizeof(float);
cudaMalloc(&device_a, vector_size_byte);
cudaMalloc(&device_b, vector_size_byte);
cudaMemcpy(device_a, &host_a[0], vector_size_byte,
cudaMemcpyHostToDevice);
cudaMemcpy(device_b, &host_b[0], vector_size_byte,
cudaMemcpyHostToDevice);
vector_sum<<<(vector_size+255)/256, 256>>>(vector_size,
host_d,
device_a,
device_b);
cudaMemcpy(&host_a[0], device_a, vector_size_byte,
cudaMemcpyDeviceToHost);
float max_error = 0.0f;
for (const float& item : host_a )
max_error = std::max(max_error, std::abs(item-44.0f));
std::cout << "Max error: " << max_error << std::endl;
cudaFree(device_a);
cudaFree(device_b);
return 0;
}
|
9,891 | #include "includes.h"
// Header files
// Routine to check error
__global__ void sum(int *A , int *B, int *C, long long N)
{
long long idx = blockIdx.x * blockDim.x + threadIdx.x ;
if(idx < N)
{
C[idx] = A[idx] + B[idx] ;
}
} |
9,892 | #include <math.h>
#include <float.h>
#include <cuda.h>
__global__ void gpu_Heat0 (float *dev_u, float *dev_uhelp, float *dev_r, int N) {
int col = (blockIdx.x * blockDim.x) + threadIdx.x;
int row = (blockIdx.y * blockDim.y) + threadIdx.y;
float diff = 0.0;
if (row > 0 && row < N-1 && col > 0 && col < N-1) {
dev_uhelp[row*N + col] = 0.25 * ( dev_u[row*N + (col-1)]
+ dev_u[row*N + (col+1)]
+ dev_u[(row-1)*N + col]
+ dev_u[(row+1)*N + col]
);
diff = dev_uhelp[row*N + col] - dev_u[row*N + col];
dev_r[(row-1)*(N-2) + col - 1] = diff * diff;
}
}
// =============================================================
// Check bounds: this version allows the last block to be half empty.
__global__ void gpu_Reduce0 (float *in, float *out, int N) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*blockDim.x + threadIdx.x;
if (i < N) {
sdata[tid] = in[i];
__syncthreads();
for(unsigned int s=1; s < blockDim.x && i+s < N; s *= 2) {
if (tid % (2*s) == 0) {
sdata[tid] += sdata[tid + s];
}
__syncthreads();
}
if (tid == 0) out[blockIdx.x] = sdata[0];
}
}
// =============================================================
__global__ void gpu_Reduce1 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*blockDim.x + threadIdx.x;
sdata[tid] = in[i];
__syncthreads();
for(unsigned int s=1; s < blockDim.x; s *= 2) {
if (tid % (2*s) == 0) {
sdata[tid] += sdata[tid + s];
}
__syncthreads();
}
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// Divergency in warps removed
// Remove % (slow)
__global__ void gpu_Reduce2 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*blockDim.x + threadIdx.x;
sdata[tid] = in[i];
__syncthreads();
for(unsigned int s=1; s < blockDim.x; s *= 2) {
int index = 2*s*tid;
if (index < blockDim.x) {
sdata[index] += sdata[index + s];
}
__syncthreads();
}
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// 32 banks of 64-bits (or 32-bits mode).
//
// if two addresses of a memory request fall in the same memory bank, there is a bank conflict and the access has to be serialized.
//
// A shared memory request for a warp does not generate a bank conflict between two threads that access any sub-word within the same 64-bit word (even though the addresses of the two sub-words fall in the same bank).
__global__ void gpu_Reduce3 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*blockDim.x + threadIdx.x;
sdata[tid] = in[i];
__syncthreads();
for(unsigned int s=blockDim.x*0.5; s>0; s>>=1) {
if (tid < s) {
sdata[tid] += sdata[tid+s];
}
__syncthreads();
}
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// First add, half of the threads where idle.
// This version is the first one to match the cpu output.
// NOTE: you need to halve the #blocks on the call.
__global__ void gpu_Reduce4 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*(blockDim.x*2) + threadIdx.x;
// Each block processes two blocks
sdata[tid] = in[i] + in[i+blockDim.x];
__syncthreads();
// Now we have half the blocks.
for(unsigned int s=blockDim.x*0.5; s>0; s>>=1) {
if (tid < s) {
sdata[tid] += sdata[tid+s];
}
__syncthreads();
}
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// These optimizations can be disabled using the volatile keyword: If a variable located in global or shared memory is declared as volatile, the compiler assumes that its value can be changed or used at any time by another thread and therefore any reference to this variable compiles to an actual memory read or write instruction.
__device__ void warpReduce0(volatile float* sdata, int tid) {
// Warps: between instructions there is an implicit barrier
sdata[tid] += sdata[tid + 32];
sdata[tid] += sdata[tid + 16];
sdata[tid] += sdata[tid + 8];
sdata[tid] += sdata[tid + 4];
sdata[tid] += sdata[tid + 2];
sdata[tid] += sdata[tid + 1];
}
// Warps are synchronized 32 threads.
// Unroll last iterations where threads < 32
__global__ void gpu_Reduce5 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*(blockDim.x*2) + threadIdx.x;
sdata[tid] = in[i] + in[i+blockDim.x];
__syncthreads();
// Saves work:
// All warps execute every iteration of the loop
// and the if statement.
for(unsigned int s=blockDim.x*0.5; s>32; s>>=1) {
if (tid < s) {
sdata[tid] += sdata[tid+s];
}
__syncthreads();
}
if (tid < 32) warpReduce0(sdata, tid);
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// Loop unrolling: templates are evaluated at compile time.
template <unsigned int blockSize>
__device__ void warpReduce1(volatile float* sdata, int tid) {
if (blockSize >= 64) sdata[tid] += sdata[tid + 32];
if (blockSize >= 32) sdata[tid] += sdata[tid + 16];
if (blockSize >= 16) sdata[tid] += sdata[tid + 8];
if (blockSize >= 8) sdata[tid] += sdata[tid + 4];
if (blockSize >= 4) sdata[tid] += sdata[tid + 2];
if (blockSize >= 2) sdata[tid] += sdata[tid + 1];
}
template <unsigned int blockSize>
__global__ void gpu_Reduce6 (float *in, float *out) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*(blockDim.x*2) + threadIdx.x;
sdata[tid] = in[i] + in[i+blockDim.x];
__syncthreads();
if (blockSize >= 512) {
if (tid < 256) {sdata[tid] += sdata[tid + 256];} __syncthreads(); }
if (blockSize >= 256) {
if (tid < 128) {sdata[tid] += sdata[tid + 128];} __syncthreads(); }
if (blockSize >= 128) {
if (tid < 64) {sdata[tid] += sdata[tid + 64];} __syncthreads(); }
if (tid < 32) warpReduce1<blockSize>(sdata, tid);
if (tid == 0) out[blockIdx.x] = sdata[0];
}
// =============================================================
// Multiple adds per thread
// NOTE: you need to reduce the number of blocks
template <unsigned int blockSize>
__global__ void gpu_Reduce7 (float *in, float *out, unsigned int N) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int i = blockIdx.x*(blockDim.x*2) + threadIdx.x;
unsigned int gridSize = blockSize*2*gridDim.x; // grid = #blocks
sdata[tid] = 0;
while (i < N) {
sdata[tid] += in[i] + in[i+blockSize];
i += gridSize;
}
__syncthreads();
if (blockSize >= 512) {
if (tid < 256) {sdata[tid] += sdata[tid + 256];} __syncthreads(); }
if (blockSize >= 256) {
if (tid < 128) {sdata[tid] += sdata[tid + 128];} __syncthreads(); }
if (blockSize >= 128) {
if (tid < 64) {sdata[tid] += sdata[tid + 64];} __syncthreads(); }
if (tid < 32) warpReduce1<blockSize>(sdata, tid);
if (tid == 0) out[blockIdx.x] = sdata[0];
}
|
9,893 | /*
* EDDL Library - European Distributed Deep Learning Library.
* Version: 0.7
* copyright (c) 2020, Universidad Politécnica de Valencia (UPV), PRHLT Research Centre
* Date: April 2020
* Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.upv.es)
* All rights reserved
*/
#include <string.h>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <cuda.h>
|
9,894 | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <iostream>
#include <time.h>
#define N 20
#define BLOCK_DIM 10
#define TILE_WIDTH 4
using namespace std;
// 4.2
__global__
void matMultKernel(int *d_M, int *d_N, int *d_P, int Width){
int Row = blockIdx.y*blockDim.y + threadIdx.y;
int Col = blockIdx.x*blockDim.x + threadIdx.x;
int k = 0;
if(Row < Width && Col < Width){
float Pvalue = 0;
for(k = 0; k < Width; ++k){
Pvalue += d_M[Row*Width + k] * d_N[k*Width+Col];
}
d_P[Row*Width+Col] = Pvalue;
}
}
// 4.5
__global__
void matMultKernel_tile(int *d_M, int *d_N, int *d_P, int Width){
__shared__ int Mds[TILE_WIDTH][TILE_WIDTH];
__shared__ int Nds[TILE_WIDTH][TILE_WIDTH];
int bx = blockIdx.x; int by = blockIdx.y;
int tx = threadIdx.x; int ty = threadIdx.y;
int Row = by*TILE_WIDTH + ty;
int Col = bx*TILE_WIDTH + tx;
float Pvalue = 0;
int ph,k;
for(ph = 0; ph < Width/TILE_WIDTH; ++ph){
Mds[ty][tx] = d_M[Row*Width+ph*TILE_WIDTH + tx];
Nds[ty][tx] = d_N[(ph*TILE_WIDTH + ty) * Width + Col];
__syncthreads();
for(k = 0; k < TILE_WIDTH; ++k){
Pvalue += Mds[ty][k] * Nds[k][tx];
}
__syncthreads();
}
d_P[Row*Width + Col] = Pvalue;
}
void imprimir_Matriz(int matrix[N][N]){
for(int i=0;i<N;i++){
for(int j=0; j<N; j++){
cout<<matrix[i][j]<<' ';
}
cout<<endl;
}
}
int main() {
int a[N][N], b[N][N], c[N][N];
int *dev_a, *dev_b, *dev_c;
int size = N * N * sizeof(int);
srand(time(NULL));
for(int i=0; i<N; i++)
for (int j=0; j<N; j++){
a[i][j] = 1;
b[i][j] = 1;
}
imprimir_Matriz(a);
cout<<endl;
imprimir_Matriz(b);
cudaMalloc((void**)&dev_a, size);
cudaMalloc((void**)&dev_b, size);
cudaMalloc((void**)&dev_c, size);
cudaMemcpy(dev_a, a, size, cudaMemcpyHostToDevice);
cudaMemcpy(dev_b, b, size, cudaMemcpyHostToDevice);
dim3 dimGrid(ceil(N/4.0),ceil(N/4.0),1);
dim3 dimBlock(TILE_WIDTH,TILE_WIDTH,1);
//matMultKernel_tile<<<dimGrid,dimBlock>>>(dev_a,dev_b,dev_c, N);
matMultKernel<<<dimGrid,dimBlock>>>(dev_a,dev_b,dev_c, N);
cudaDeviceSynchronize();
cudaMemcpy(c, dev_c, size, cudaMemcpyDeviceToHost);
cout<<endl;
imprimir_Matriz(c);
cudaFree(dev_a); cudaFree(dev_b); cudaFree(dev_c);
return 0;
} |
9,895 | #include <cuda.h>
#include <stdio.h>
#include <time.h>
#include <stdlib.h>
// kernel
__global__ void multiplyMatricesKernel(float* d_x, float* d_y, float* d_z, int m, int n, int p)
{
// indexing variable
int i = blockDim.x * blockIdx.x + threadIdx.x;
// thread boundary check
if(i < m)
{
for(int j = 0; j < p; ++j)
{
for(int k = 0; k < n; ++k)
{
d_z[i * p + j] += d_x[i * n + k] * d_y[k * p + j];
}
}
}
}
// host function containing kernel call
void multiplyMatrices(float* x, float* y, float* z, int m, int n, int p)
{
dim3 numOfBlocks(ceil(m / 1024.0), 1, 1);
dim3 numOfThreads(1024, 1, 1);
int bytes_x = m * n * sizeof(float);
int bytes_y = n * p * sizeof(float);
int bytes_z = m * p * sizeof(float);
float* d_x;
float* d_y;
float* d_z;
cudaMalloc((void**) &d_x, bytes_x);
cudaMalloc((void**) &d_y, bytes_y);
cudaMalloc((void**) &d_z, bytes_z);
cudaMemcpy(d_x, x, bytes_x, cudaMemcpyHostToDevice);
cudaMemcpy(d_y, y, bytes_y, cudaMemcpyHostToDevice);
multiplyMatricesKernel<<<numOfBlocks, numOfThreads>>>(d_x, d_y, d_z, m, n, p);
cudaMemcpy(z, d_z, bytes_z, cudaMemcpyDeviceToHost);
cudaFree(d_x);
cudaFree(d_y);
cudaFree(d_z);
}
int main()
{
struct timespec start, end;
srand(time(NULL));
size_t m = rand() % 193 + 1856;
size_t n = rand() % 193 + 1856;
size_t p = rand() % 193 + 1856;
float* x = (float*) malloc(m * n * sizeof(float));
float* y = (float*) malloc(n * p * sizeof(float));
float* z = (float*) malloc(m * p * sizeof(float));
for(int i = 0; i < sizeof(x) / sizeof(float); ++i)
{
x[i] = rand() % 129 - 64;
}
for(int i = 0; i < sizeof(y) / sizeof(float); ++i)
{
y[i] = rand() % 129 - 64;
}
clock_gettime(CLOCK_REALTIME, &start);
// do matrix multiplication
multiplyMatrices(x, y, z, m, n, p);
clock_gettime(CLOCK_REALTIME, &end);
time_t execTime = (end.tv_sec - start.tv_sec) * 1000000 + (end.tv_nsec - start.tv_nsec) / 1000;
printf("Execution time: %d microseconds.", execTime);
return 0;
}
|
9,896 | #include "includes.h"
__global__ void next_move_kernel(bool *mask, int *rat_count, int *healthy_rat_count, int *exposed_rat_count, int *infectious_rat_count, double *node_weight, double *sum_weight_result,int *neighbor, int *neighbor_start, int width, int height, double batch_fraction){
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int nid = y * width + x;
if (x < width && y < height){
for (int eid = neighbor_start[nid]; eid < neighbor_start[nid] + 5; eid++) { // 5 because self + up down left right
int remote_node = neighbor[eid];
double move_prob = batch_fraction * node_weight[remote_node] / sum_weight_result[nid]; // check 0
int move_rat = rat_count[nid] * move_prob;
int move_healthy = healthy_rat_count[nid] * move_prob;
int move_exposed = exposed_rat_count[nid] * move_prob;
int move_infectious = infectious_rat_count[nid] * move_prob;
atomicAdd(&rat_count[remote_node], move_rat);
atomicAdd(&healthy_rat_count[remote_node], move_healthy);
atomicAdd(&exposed_rat_count[remote_node], move_exposed);
atomicAdd(&infectious_rat_count[remote_node], move_infectious);
rat_count[nid] -= move_rat;
healthy_rat_count[nid] -= move_healthy;
exposed_rat_count[nid] -= move_exposed;
infectious_rat_count[nid] -= move_infectious;
}
}
} |
9,897 | #include <iostream>
#include <vector>
#include <cuda_runtime.h>
__global__ void fill(int * v,std::size_t size){
// Get the id of the thread (0 -> 99)
auto tid = threadIdx.x;
v[tid] = tid;
}
int main(){
std::vector<int> v(100);
int * v_d = nullptr;
//Allocate on the Device
cudaMalloc(&v_d,v.size()*sizeof(int));
fill<<<1,100>>>(v_d, v.size());
cudaMemcpy(v.data(),v_d,v.size() * sizeof(int), cudaMemcpyDeviceToHost);
for(auto x: v){
std::cout<< x <<" ";
}
}
|
9,898 | #include <stdio.h>
#include <math.h>
#include <iostream>
#include <cuda.h>
#include <cuda_runtime.h>
#include <cuda_profiler_api.h>
int main(int argc, char* argv[]) {
int deviceCount = 0;
cudaGetDeviceCount(&deviceCount);
std::cout << "number of GPU:" << deviceCount << std::endl;
} |
9,899 |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <math.h>
#include <iostream>
__global__ void transposeMatrix(const int *a, const int *b)
{
int idx = blockIdx.x * blockDim.x + threadIdx.x;
}
int main()
{
const int MATRIX_SIZE = 3;
const int N = MATRIX_SIZE * MATRIX_SIZE;
float *a, *b, *c;
cudaMallocManaged(&a, N * sizeof(float));
cudaMallocManaged(&b, N * sizeof(float));
for (int i = 0; i < N; ++i)
{
a[i] = 1.0f;
b[i] = 2.0f;
}
return 0;
}
|
9,900 | #include <cooperative_groups.h>
#include <stdio.h>
#include "cuda.h"
#include "cuda_runtime.h"
#include <iostream>
using namespace cooperative_groups;
// Basic reduction code found in the presentation; going to test on a variety of
// thread groups
__device__ void coalesced_thread_ids(coalesced_group threads)
{
printf("Thread ID: %d Block ID: %d Coalesced Thread Rank: %d \n", threadIdx.x, blockIdx.x, threads.thread_rank());
}
// use this kernel to get appropriate threads ??
__global__ void descriminator_kernel()
{
// first block and first warp in block
if (threadIdx.x % 5 == 0)
{
coalesced_group active_threads = coalesced_threads();
coalesced_thread_ids(active_threads);
}
}
int main(void)
{
// Setup timers to test different configurations
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start); // start timer
// run the kernel
descriminator_kernel<<<2, 64>>>();
cudaEventRecord(stop); // stop timing
// get the runtime
cudaEventSynchronize(stop);
float milliseconds = 0.0;
cudaEventElapsedTime(&milliseconds, start, stop);
// print the runtime
std::cout << milliseconds << " milliseconds for parallel run" << std::endl;
return 0;
}
|
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