hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
02509a03dc03e70e85a4a2d93bf71dca137b59e1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void mkRender(float *fb, int max_x, int max_y) {
//MK: Pixel ThreadId, BlockId
int i = threadIdx.x + blockIdx.x * blockDim.x;
int j = threadIdx.y + blockIdx.y * blockDim.y;
//MK: Pixel FB ... | 02509a03dc03e70e85a4a2d93bf71dca137b59e1.cu | #include "includes.h"
__global__ void mkRender(float *fb, int max_x, int max_y) {
//MK: Pixel 위치 계산을 위해 ThreadId, BlockId를 사용함
int i = threadIdx.x + blockIdx.x * blockDim.x;
int j = threadIdx.y + blockIdx.y * blockDim.y;
//MK: 계산된 Pixel 위치가 FB사이즈 보다 크면 연산을 수행하지 않음
if((i >= max_x) || (j >= max_y)){
return;
}
//MK: FB ... |
691b9e8186bd07ff2dc6e99148f1ba675f3d1bfe.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gpu_func.h"
#include <iostream>
#include <cmath>
/*
Inline function to check if image index is in bounds
*/
static __device__ __forceinline__ bool in_img(int x, int y, int rows, int cols)
{
return x >= 0 && x < cols && ... | 691b9e8186bd07ff2dc6e99148f1ba675f3d1bfe.cu | #include "gpu_func.h"
#include <iostream>
#include <cmath>
/*
Inline function to check if image index is in bounds
*/
static __device__ __forceinline__ bool in_img(int x, int y, int rows, int cols)
{
return x >= 0 && x < cols && y >= 0 && y < rows;
}
__global__ void device_add_one(int* d_result, int t)
{
*d_result... |
140302b53185aa8deba0efe1ea36596cbf304ad9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <inttypes.h>
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
//#include <time.h>
#include <sys/time.h>
#include <sys/types.h>
#include <dirent.h>
#include <unistd.h>
#define MAX(x, y) (((x) > (y)) ? (x) : (y))
#de... | 140302b53185aa8deba0efe1ea36596cbf304ad9.cu | #include <inttypes.h>
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
//#include <time.h>
#include <sys/time.h>
#include <sys/types.h>
#include <dirent.h>
#include <unistd.h>
#define MAX(x, y) (((x) > (y)) ? (x) : (y))
#define MIN(x, y) (((x) < (y)) ? (x) : (y))
#define MAX_STR_LEN 256
struct ponto_capturad... |
b3bc7196e32e42e4dd3e82f7c74069b909b2661a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2019 Yan Yan
//
// 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.apac... | b3bc7196e32e42e4dd3e82f7c74069b909b2661a.cu | // Copyright 2019 Yan Yan
//
// 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 writ... |
91f296ca1304e3ddd3da59da4db583ac95289a31.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Babak Poursartip
05/14/2020
*/
#include <stdio.h>
__global__
void hello(){
printf("I am: %d %d \n",threadIdx.x, blockIdx.x);
}
int main(){
printf(" code start ... \n");
dim3 blocks(16,1,1);
dim3 threads(1,1,1);
hipLau... | 91f296ca1304e3ddd3da59da4db583ac95289a31.cu |
/*
Babak Poursartip
05/14/2020
*/
#include <stdio.h>
__global__
void hello(){
printf("I am: %d %d \n",threadIdx.x, blockIdx.x);
}
int main(){
printf(" code start ... \n");
dim3 blocks(16,1,1);
dim3 threads(1,1,1);
hello<<<blocks,threads>>>();
cudaDeviceSynchronize();
printf(" end here. \n");
return 0;
}
|
37b664f88d844e26de95f346e50e8ad92258e84c.hip | // !!! This is a file automatically generated by hipify!!!
/*
* EDDL Library - European Distributed Deep Learning Library.
* Version: 0.3
* copyright (c) 2019, Universidad Politcnica de Valencia (UPV), PRHLT Research Centre
* Date: October 2019
* Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.u... | 37b664f88d844e26de95f346e50e8ad92258e84c.cu | /*
* EDDL Library - European Distributed Deep Learning Library.
* Version: 0.3
* copyright (c) 2019, Universidad Politécnica de Valencia (UPV), PRHLT Research Centre
* Date: October 2019
* Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.upv.es)
* All rights reserved
*/
#include <stdio.h>
#inclu... |
678d0435b730999af8802c154cc28200ac737d71.hip | // !!! This is a file automatically generated by hipify!!!
/*
* cuTS: Scaling Subgraph Isomorphism on Distributed Multi-GPU Systems Using
* Trie Based Data Structure
*
* Copyright (C) 2021 APPL Laboratories (aravind_sr@outlook.com)
*
* This software is available under the MIT license, a copy of which can ... | 678d0435b730999af8802c154cc28200ac737d71.cu | /*
* cuTS: Scaling Subgraph Isomorphism on Distributed Multi-GPU Systems Using
* Trie Based Data Structure
*
* Copyright (C) 2021 APPL Laboratories (aravind_sr@outlook.com)
*
* This software is available under the MIT license, a copy of which can be
* found in the file 'LICENSE' in the top-level director... |
3b3371f6e323fe9ca770f30d7182dbde338f24d1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2017 Sony Corporation. All Rights Reserved.
//
// 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 L... | 3b3371f6e323fe9ca770f30d7182dbde338f24d1.cu | // Copyright (c) 2017 Sony Corporation. All Rights Reserved.
//
// 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 ... |
23e8b51ceb2cc69573aec9d057a15920c7a65514.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <cmath>
#include <ctime>
#include <chrono>
#include <random>
#define N 100000000
#define TIMING
#ifdef TIMING
#define INIT_TIMER auto start = std::chrono::high_resolution_clock::now();
#define START_TI... | 23e8b51ceb2cc69573aec9d057a15920c7a65514.cu | #include <iostream>
#include <cmath>
#include <ctime>
#include <chrono>
#include <random>
#define N 100000000
#define TIMING
#ifdef TIMING
#define INIT_TIMER auto start = std::chrono::high_resolution_clock::now();
#define START_TIMER start = std::chrono::high_resolution_clock::now();
#define STOP_TIMER std::cout << "... |
fcafd42422c0a15709a9513b8226b5e83d1d41b2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.4.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
December 2013
@precisions normal z -> s d c
*/
#include "common_magma.h"
... | fcafd42422c0a15709a9513b8226b5e83d1d41b2.cu | /*
-- MAGMA (version 1.4.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
December 2013
@precisions normal z -> s d c
*/
#include "common_magma.h"
// 512 is maximum number of threads for CUDA capability 1.x
#define BLOCK_SIZE 512
#def... |
b9b02c4395fbc18f799e1c23a66000fce160bbf6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include "radonusfft.cuh"
#include "kernels_tomo.cu"
#include "shift.hip"
#include "filter.hip"
radonusfft::radonusfft(size_t ntheta, size_t pnz, size_t n, float center,
size_t theta_, siz... | b9b02c4395fbc18f799e1c23a66000fce160bbf6.cu | #include <stdio.h>
#include "radonusfft.cuh"
#include "kernels_tomo.cu"
#include "shift.cu"
#include "filter.cu"
radonusfft::radonusfft(size_t ntheta, size_t pnz, size_t n, float center,
size_t theta_, size_t ngpus)
: ntheta(ntheta), pnz(pnz), n(n), center(center), ngpus(ngpus) {
float ep... |
44355e85186c8991c326b734b588e19b571c4ab6.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include <hip/hip_runtime.h>
#include "orttraining/training_ops/cuda/activation/activations_grad_impl.h"
#include "orttraining/training_ops/cuda/activation/gelu_gra... | 44355e85186c8991c326b734b588e19b571c4ab6.cu | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include <cuda_runtime.h>
#include "orttraining/training_ops/cuda/activation/activations_grad_impl.h"
#include "orttraining/training_ops/cuda/activation/gelu_grad_impl_common.cuh"
#include "core/providers/cuda/cu_inc/common... |
9bc765eef2949741060c1683fbccda7f2c52187a.hip | // !!! This is a file automatically generated by hipify!!!
/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compl... | 9bc765eef2949741060c1683fbccda7f2c52187a.cu | /*
* SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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 Lic... |
e0c70de59ec3e95ebd18fb31793c9b84c7770d45.hip | // !!! This is a file automatically generated by hipify!!!
/*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@generated from sparse/blas/zgecsr5mv.cu, normal z -> d, Thu Oct 8 23:05:48 2020
... | e0c70de59ec3e95ebd18fb31793c9b84c7770d45.cu | /*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@generated from sparse/blas/zgecsr5mv.cu, normal z -> d, Thu Oct 8 23:05:48 2020
@author Weifeng Liu
*/
// CSR5 SpMV kernel
// see pap... |
a092c95b99a0ed0db4a3767bd778b531a517b3d8.hip | // !!! This is a file automatically generated by hipify!!!
/// ----------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------
// This source code is distributed under the terms of LICENSE.TXT
// in t... | a092c95b99a0ed0db4a3767bd778b531a517b3d8.cu | /// ----------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------
// This source code is distributed under the terms of LICENSE.TXT
// in the root directory of this source distribution.
// ---------... |
864e94f5ac5be10b3502034b2fa4517b2e9911c0.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include "gpu.h"
// Cuda cores per multiprocessor from Compute Capability
inline int _ConvertSMVer2Cores(int major, int minor) {
// Defines for GPU Architecture types (using the SM version to determine the # of cores per SM
typedef struc... | 864e94f5ac5be10b3502034b2fa4517b2e9911c0.cu | #include <stdio.h>
#include "gpu.h"
// Cuda cores per multiprocessor from Compute Capability
inline int _ConvertSMVer2Cores(int major, int minor) {
// Defines for GPU Architecture types (using the SM version to determine the # of cores per SM
typedef struct {
int SM; // 0xMm (hexadecimal notation), M = SM Majo... |
df68a2237769119a38098b1de90c42c5ff70e601.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include "hip/hip_runtime.h"
#include "utils.cuh"
#include "../device/device_context.cuh"
#include "tsvd.h"
#include <ctime>
#include <thrust/iterator/counting_iterator.h>
#include<algorithm>
#include <thrust/sequence.h>
#include <thrust/inner... | df68a2237769119a38098b1de90c42c5ff70e601.cu | #include <cstdio>
#include "cuda_runtime.h"
#include "utils.cuh"
#include "../device/device_context.cuh"
#include "tsvd.h"
#include <ctime>
#include <thrust/iterator/counting_iterator.h>
#include<algorithm>
#include <thrust/sequence.h>
#include <thrust/inner_product.h>
#include <thrust/transform_reduce.h>
namespace ts... |
78db71a1c3c0d4d8838f25bb8c810a22b66b6140.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void addValue_i32 (int* vector, int value, int* output, int len) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < len) {
output[idx] = vector[idx] + value;
}
} | 78db71a1c3c0d4d8838f25bb8c810a22b66b6140.cu | #include "includes.h"
__global__ void addValue_i32 (int* vector, int value, int* output, int len) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < len) {
output[idx] = vector[idx] + value;
}
} |
03cc977a20fe291ae594e392c2edf603f269cbe0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License,... | 03cc977a20fe291ae594e392c2edf603f269cbe0.cu | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
*... |
64ac5cab473416223688e41a6988f600dcb32382.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//#include "CUDADiffusion.hh"
//#include "DiffusionUtils.hh"
//#include "SymmetricTensor.hh"
//#include <vector>
//#include <map>
//#include "options.h"
//#include "cudautil.h"
#include <stdio.h>
#define XTILE 20
typedef double Re... | 64ac5cab473416223688e41a6988f600dcb32382.cu | //#include "CUDADiffusion.hh"
//#include "DiffusionUtils.hh"
//#include "SymmetricTensor.hh"
//#include <vector>
//#include <map>
//#include "options.h"
//#include "cudautil.h"
#include <stdio.h>
#define XTILE 20
typedef double Real;
__global__ void diff_6face_v1(const Real* d_psi, Real* d_npsi, const Real* d_sigma... |
ce34b41857548ba43de188dd717b0af6122ef295.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* 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/li... | ce34b41857548ba43de188dd717b0af6122ef295.cu | /*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* 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 ... |
977a40624261616f24805934a133d3ff18de1e9b.hip | // !!! This is a file automatically generated by hipify!!!
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
// includes, kernels
#include "backprop_cuda_kernel.cu"
#include "backprop.h"
///////////////////////////////... | 977a40624261616f24805934a133d3ff18de1e9b.cu |
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda.h>
#include <sys/time.h>
// includes, kernels
#include "backprop_cuda_kernel.cu"
#include "backprop.h"
////////////////////////////////////////////////////////////////////////////////
extern "C"
void bpn... |
6c0d4017368f16dbf1dd53c7f55895eba03f2d75.hip | // !!! This is a file automatically generated by hipify!!!
/************************************************************************/
// The purpose of this file is to provide a GPU implementation of the
// heat transfer simulation using MATLAB.
//
// Author: Jason Lowden
// Date: October 20, 2013
//
// File: KMeans.h... | 6c0d4017368f16dbf1dd53c7f55895eba03f2d75.cu | /************************************************************************/
// The purpose of this file is to provide a GPU implementation of the
// heat transfer simulation using MATLAB.
//
// Author: Jason Lowden
// Date: October 20, 2013
//
// File: KMeans.h
/*********************************************************... |
c04967dfb5b249f9a0761dd7edbb246a16ea6e6c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
using namespace std;
#define delta 10
#define rows 50
#define columns 50
__global__ void SomeKernel(int* res, int* data, int col, int row,int y, int step)
{
unsigned int threadId = blockIdx.x * ... | c04967dfb5b249f9a0761dd7edbb246a16ea6e6c.cu | #include "includes.h"
using namespace std;
#define delta 10
#define rows 50
#define columns 50
__global__ void SomeKernel(int* res, int* data, int col, int row,int y, int step)
{
unsigned int threadId = blockIdx.x * blockDim.x + threadIdx.x;
//Считаем идентификатор текущего потока
int currDelta = 0;
for... |
dd2ba7ff1a0e2a250620ee882569bd49d47c9ca3.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, ... | dd2ba7ff1a0e2a250620ee882569bd49d47c9ca3.cu | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and related... |
7c2d2e9d8af2f9c0e08e1b1cf24734659ad87357.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <read_gauge.h>
#include <gauge_field.h>
#include <fermion_force_quda.h>
#include <force_common.h>
#include <hw_quda.h>
namespace quda {
#define BLOCK_DIM 64
#define LOAD_ANTI_HERMITIAN(src, dir, idx, var) LOAD_ANTI_HER... | 7c2d2e9d8af2f9c0e08e1b1cf24734659ad87357.cu |
#include <read_gauge.h>
#include <gauge_field.h>
#include <fermion_force_quda.h>
#include <force_common.h>
#include <hw_quda.h>
namespace quda {
#define BLOCK_DIM 64
#define LOAD_ANTI_HERMITIAN(src, dir, idx, var) LOAD_ANTI_HERMITIAN_DIRECT(src, dir, idx, var, Vh)
#define LOAD_HW_SINGLE(hw_even, hw_odd, idx, var,... |
3a1ec8f901c8b37f55b815c780bee433633f908f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@precisions normal z -> c d s
*/
#include "magmasparse_... | 3a1ec8f901c8b37f55b815c780bee433633f908f.cu | /*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@precisions normal z -> c d s
*/
#include "magmasparse_internal.h"
#define BLOCK_SIZE 256
// axpy kernel for matrices stored in the MAGMA fo... |
cc7466ce913d9e854f8f9598fd5be5261fb91757.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// STD
#include <cassert>
#include <iostream>
// CUDA
#include <hip/hip_cooperative_groups.h>
// NNCPP
#include "tensor.hpp"
#include "activations.hpp"
#include "cuda_tensor_wrapper.cuh"
#include "cuda_utils.cuh"
namespace cg = ... | cc7466ce913d9e854f8f9598fd5be5261fb91757.cu | // STD
#include <cassert>
#include <iostream>
// CUDA
#include <cooperative_groups.h>
// NNCPP
#include "tensor.hpp"
#include "activations.hpp"
#include "cuda_tensor_wrapper.cuh"
#include "cuda_utils.cuh"
namespace cg = cooperative_groups;
namespace nncpp
{
__global__ void kerner_relu(CUDATensorWrapper input, CU... |
218c017650bede1894699f3bb0504e56222e2c3f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
#define DOUBLE
#ifdef DOUBLE
#define Complex hipfftDoubleComplex
#define Real double
#define Transform HIPFFT_Z2Z
#define TransformExec hipfftExecZ2Z
#else
#define Complex hipfftComplex
#define Real float
#... | 218c017650bede1894699f3bb0504e56222e2c3f.cu | #include "includes.h"
#define DOUBLE
#ifdef DOUBLE
#define Complex cufftDoubleComplex
#define Real double
#define Transform CUFFT_Z2Z
#define TransformExec cufftExecZ2Z
#else
#define Complex cufftComplex
#define Real float
#define Transform CUFFT_C2C
#define TransformExec cufftExecC2C
#endif
#define TILE_DIM 8
/... |
471f4639a663c5c80bc6563831ec828cde7df683.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2011, Alex Krizhevsky (akrizhevsky@gmail.com)
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following condition... | 471f4639a663c5c80bc6563831ec828cde7df683.cu | /*
* Copyright (c) 2011, Alex Krizhevsky (akrizhevsky@gmail.com)
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* - Redistributions of source code must retain the above copyright notice... |
32352ce8c6c85819f6b39c0b6b107d0782d36526.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>
#include <stdlib.h>
#include <string.h>
using namespace std;
#define GAUSS_WIDTH 5
#define SOBEL_WIDTH 3
typedef struct images {
char *pType;
int width... | 32352ce8c6c85819f6b39c0b6b107d0782d36526.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>
#include <stdlib.h>
#include <string.h>
using namespace std;
#define GAUSS_WIDTH 5
#define SOBEL_WIDTH 3
typedef struct images {
char *pType;
int width;
int height;
int maxValColor;
unsigned char *data;
} image... |
fb3747ed20188b22da9ebd37481e6c707a9f4e64.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/***************************************************************************
* Copyright (C) 2020 *
* *
... | fb3747ed20188b22da9ebd37481e6c707a9f4e64.cu |
/***************************************************************************
* Copyright (C) 2020 *
* *
* *
* This p... |
e399e317aaf281691ece7295f439e2875e4a0777.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "wall_repulsion.h"
#include <mirheo/core/pvs/particle_vector.h>
#include <mirheo/core/pvs/views/pv.h>
#include <mirheo/core/simulation.h>
#include <mirheo/core/utils/config.h>
#include <mirheo/core/utils/cuda_common.h>
#in... | e399e317aaf281691ece7295f439e2875e4a0777.cu | #include "wall_repulsion.h"
#include <mirheo/core/pvs/particle_vector.h>
#include <mirheo/core/pvs/views/pv.h>
#include <mirheo/core/simulation.h>
#include <mirheo/core/utils/config.h>
#include <mirheo/core/utils/cuda_common.h>
#include <mirheo/core/utils/cuda_rng.h>
#include <mirheo/core/utils/kernel_launch.h>
#inclu... |
10f70db1988fb257f605dab9f3a893915f2c9df8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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 ... | 10f70db1988fb257f605dab9f3a893915f2c9df8.cu | /* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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... |
dfa3f51130fdd43df35878825e97054c08933934.hip | // !!! This is a file automatically generated by hipify!!!
/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licen... | dfa3f51130fdd43df35878825e97054c08933934.cu | /* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed wit... |
5f7674eac0c000fb815f152f66b91589a6524349.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include "sha1_.cu"
#include <string.h>
#define N 8
#define SPACE 10000
#define BLOCK_SIZE 16
__global__ void kernel(unsigned char* digest, unsigned char* find, bool* bingo) {
// kee... | 5f7674eac0c000fb815f152f66b91589a6524349.cu | #include <stdio.h>
#include <stdlib.h>
#include "sha1_.cu"
#include <string.h>
#define N 8
#define SPACE 10000
#define BLOCK_SIZE 16
__global__ void kernel(unsigned char* digest, unsigned char* find, bool* bingo) {
// keep the context in shared memory
__shared__ unsigned char ctx[16][16][N];
// keep the d... |
fab8b92b8e89a2a555018ef996714304cda1dd0f.hip | // !!! This is a file automatically generated by hipify!!!
//raytracer.mustafaisik.net//
#include "texture_manager.cuh"
#include "cuda_utils.cuh"
#include <FreeImage/FreeImage.h>
TextureManager& TextureManager::Manager()
{
static TextureManager manager;
return manager;
}
void TextureManager::loadPerlinTextu... | fab8b92b8e89a2a555018ef996714304cda1dd0f.cu | //raytracer.mustafaisik.net//
#include "texture_manager.cuh"
#include "cuda_utils.cuh"
#include <FreeImage/FreeImage.h>
TextureManager& TextureManager::Manager()
{
static TextureManager manager;
return manager;
}
void TextureManager::loadPerlinTexture(const Texture::SampleParams& sample_params)
{
m_text... |
58e12c3ee89b8a8db4bd7d001c43eb89278c639f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_shell_private.h"
extern "C" {
#include "cuda_shell.h"
}
PetscErrorCode BuildMat_CUDAShell(PetscInt L,PetscInt nterms,PetscInt* masks,PetscInt* signs,PetscScalar* coeffs,Mat *A)
{
PetscErrorCode ierr;
PetscInt N... | 58e12c3ee89b8a8db4bd7d001c43eb89278c639f.cu |
#include "cuda_shell_private.h"
extern "C" {
#include "cuda_shell.h"
}
PetscErrorCode BuildMat_CUDAShell(PetscInt L,PetscInt nterms,PetscInt* masks,PetscInt* signs,PetscScalar* coeffs,Mat *A)
{
PetscErrorCode ierr;
PetscInt N,n;
shell_context *ctx;
N = 1<<L;
n = PETSC_DECIDE;
PetscSplitOwnership(PETSC_... |
07bf51147a9c95bece46f2ed8ab1cb6ffbb8fe6e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <ATe... | 07bf51147a9c95bece46f2ed8ab1cb6ffbb8fe6e.cu | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <c10/cuda/CUDAGuard.h>
#include <m... |
8bba1810736e9c1a16a2ea0890d0d866721e54d0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020-2022, NVIDIA CORPORATION.
*
* 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
... | 8bba1810736e9c1a16a2ea0890d0d866721e54d0.cu | /*
* Copyright (c) 2020-2022, NVIDIA CORPORATION.
*
* 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... |
2582883acb37f6875462126193da58c691614198.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "VecAdd.cu"
#include<chrono>
#include<iostream>
using namespace s... | 2582883acb37f6875462126193da58c691614198.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "VecAdd.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{3... |
59c6bff96becebda8ea18addd8d6c0ea63a110c7.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdlib>
#include <cstdio>
#include <cstdio>
#include <chrono>
#include <fstream>
#include <vector>
#include "Image.h"
#include "PPM.h"
#include "MorphableOperator.h"
int main (int argc, char **argv){
std::string path_input = "/home/user/myfolder/"... | 59c6bff96becebda8ea18addd8d6c0ea63a110c7.cu | #include <cstdlib>
#include <cstdio>
#include <cstdio>
#include <chrono>
#include <fstream>
#include <vector>
#include "Image.h"
#include "PPM.h"
#include "MorphableOperator.h"
int main (int argc, char **argv){
std::string path_input = "/home/user/myfolder/";
std::string path_results = path_input;
std::vector<... |
d71d8eea90765e44e0cb5df840725037d4bba104.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* cudakernels.c
*
* Created on: Nov 7, 2011
* Author: igkiou
*/
#include "cudakernels.h"
#include "usecuda.h"
#define IMIN(X, Y) ((X) < (Y) ? (X) : (Y))
#define IMAX(X, Y) ((X) > (Y) ? (X) : (Y))
#define SIGN(X) (... | d71d8eea90765e44e0cb5df840725037d4bba104.cu | /*
* cudakernels.c
*
* Created on: Nov 7, 2011
* Author: igkiou
*/
#include "cudakernels.h"
#include "usecuda.h"
#define IMIN(X, Y) ((X) < (Y) ? (X) : (Y))
#define IMAX(X, Y) ((X) > (Y) ? (X) : (Y))
#define SIGN(X) ((X) > 0 ? (1) : (((X) < 0 ? (-(1)) : (0))))
#define ABS(X) ((X) > 0 ? (X) : (-(X)))
__... |
e9b536e42bd8e7f661539c46e5be85c26dcf280f.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include "AminoAcid.h"
#include <iostream>
#include <vector>
#include <fstream>
#include <cmath>
#include <string>
#define _USE_MATH_DEFINES
#define BOLTZ_CONST .0019872041
#include <thrust/host_vector.h>
#include <thrust/device_ve... | e9b536e42bd8e7f661539c46e5be85c26dcf280f.cu | #include <cuda.h>
#include "AminoAcid.h"
#include <iostream>
#include <vector>
#include <fstream>
#include <cmath>
#include <string>
#define _USE_MATH_DEFINES
#define BOLTZ_CONST .0019872041
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
using namespace std;
__global__ void sum4(double** pd_props, ... |
44b789685bb7aadfbb8bf1ec0b6935db18f4de23.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <benchmark/benchmark.h>
#include <bm_config.hpp>
#include <matazure/tensor>
using namespace matazure;
template <typename _ValueType>
void BM_host_zip_gold(benchmark::State &state) {
tensor<_ValueType, 1> ts0(state.range... | 44b789685bb7aadfbb8bf1ec0b6935db18f4de23.cu | #include <benchmark/benchmark.h>
#include <bm_config.hpp>
#include <matazure/tensor>
using namespace matazure;
template <typename _ValueType>
void BM_host_zip_gold(benchmark::State &state) {
tensor<_ValueType, 1> ts0(state.range(0));
tensor<_ValueType, 1> ts1(ts0.shape());
tensor<_ValueType, 1> ts_re0(ts0.shape()... |
c4ff4737d9411076beee83a923c0778eb35adeb4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <ctime>
#include <vector>
#include <algorithm>
#include <stdlib.h>
// utilities
#include <helper_cuda.h>
#include <time.h>
#include <sys/time.h>
#include <hip/hip_cooperative_groups.h>
using namespace coo... | c4ff4737d9411076beee83a923c0778eb35adeb4.cu | #include <cstdio>
#include <ctime>
#include <vector>
#include <algorithm>
#include <stdlib.h>
// utilities
#include <helper_cuda.h>
#include <time.h>
#include <sys/time.h>
#include <cooperative_groups.h>
using namespace cooperative_groups;
/////////////////////////////L1 is enabled. "ALL_CCFLAGS += -Xptxas -dlcm=ca"
... |
e63f798093d24772beb4282f2ae888103d39adf8.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* 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/li... | e63f798093d24772beb4282f2ae888103d39adf8.cu | /*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* 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 ... |
86641a60faf018a91e3106306ffc0a268bc3cce5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "project.h"
#include "volume.h"
#include "graph.h"
char *programName;
int main(int argc, char *argv[])
{
programName = argv[0];
if (argc < 2)
{
printf("Usage:\n");
printf(" %s inputRawVolume outputRawVolume... | 86641a60faf018a91e3106306ffc0a268bc3cce5.cu | #include "project.h"
#include "volume.h"
#include "graph.h"
char *programName;
int main(int argc, char *argv[])
{
programName = argv[0];
if (argc < 2)
{
printf("Usage:\n");
printf(" %s inputRawVolume outputRawVolume\n", programName);
exit(0);
}
// read our raw file into volume
Volume *volume;... |
61aff8a438dc0e595018493fefebd8ab92e0b898.hip | // !!! This is a file automatically generated by hipify!!!
#include "utils.h"
#include "CudaProj.h"
#include <stdlib.h>
#include <stdio.h>
#include <helper_functions.h> // helper for shared functions common to CUDA SDK samples
#include <helper_cuda.h> // helper function CUDA error checking and intialization
floa... | 61aff8a438dc0e595018493fefebd8ab92e0b898.cu | #include "utils.h"
#include "CudaProj.h"
#include <stdlib.h>
#include <stdio.h>
#include <helper_functions.h> // helper for shared functions common to CUDA SDK samples
#include <helper_cuda.h> // helper function CUDA error checking and intialization
float* ReadFile(const char* name, int* count) {
FILE *file;
f... |
410da2908e2614eaab3a3bbb5646c2a51d1a2443.hip | // !!! This is a file automatically generated by hipify!!!
extern "C" {
#include "cuda_util.h"
__host__ void
cuda_check(hipError_t err, const char* file, const int line, bool fatal) {
if (hipSuccess != err) {
printf("[!] GPU error: %s:%d, code: %d, reason: %s\n",
file, line, err, hipGetErrorString(err... | 410da2908e2614eaab3a3bbb5646c2a51d1a2443.cu | extern "C" {
#include "cuda_util.h"
__host__ void
cuda_check(cudaError_t err, const char* file, const int line, bool fatal) {
if (cudaSuccess != err) {
printf("[!] GPU error: %s:%d, code: %d, reason: %s\n",
file, line, err, cudaGetErrorString(err));
if (fatal) {
printf("[!] aborting...\n");
... |
285909960cb1f8ed8753ec0cbb1bc8d35d9f8bd7.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) SenseTime Research. All rights reserved.
// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.gith... | 285909960cb1f8ed8753ec0cbb1bc8d35d9f8bd7.cu | // Copyright (c) SenseTime Research. All rights reserved.
// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
#include <torch/types.h>
#in... |
60df58431dd28a05cad442d9dabc9b300b067bc3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h> // for printf
#define N 64 // constant, threads per block
#define TPB 32 // constant, threads per block
// converts int to evenly spaced floats
// ie) .1, .2, ..., .5, ..., .9
float scale(int... | 60df58431dd28a05cad442d9dabc9b300b067bc3.cu | #include <stdio.h> // for printf
#define N 64 // constant, threads per block
#define TPB 32 // constant, threads per block
// converts int to evenly spaced floats
// ie) .1, .2, ..., .5, ..., .9
float scale(int i, int n)
{
return ((float) i) / (n - 1);
}
// Computes distance between 2 points ... |
220a113eda4f37162a1b63222ad69afcf16a3623.hip | // !!! This is a file automatically generated by hipify!!!
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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.apa... | 220a113eda4f37162a1b63222ad69afcf16a3623.cu | /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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 applica... |
3cce687bae94f666465c3f54af2de851e6300276.hip | // !!! This is a file automatically generated by hipify!!!
/*
* This CUDA-Cusparse code can handle/work with any type of the input mxArrays,
* GPUarray or standard matlab CPU array as input {prhs[0]/prhs[1] := mxGPUArray or CPU Array}[double/complex double]
* Sparse/Dense matrix-sparse/dense matrix addition Z=C... | 3cce687bae94f666465c3f54af2de851e6300276.cu |
/*
* This CUDA-Cusparse code can handle/work with any type of the input mxArrays,
* GPUarray or standard matlab CPU array as input {prhs[0]/prhs[1] := mxGPUArray or CPU Array}[double/complex double]
* Sparse/Dense matrix-sparse/dense matrix addition Z=CuMatlab_add(Sparse/Dense(X),Sparse/Dense(Y), alpha, beta).
... |
a9335900ec0de2e305d5e26812fcc071fd05edd6.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include "acc_internal.h"
#include "acc_gpu_internal.h"
//funcs
//hipStream_t _ACC_gpu_get_stream(int id);
//void _ACC_gpu_init_stream_map(int table_size);
//void _ACC_gpu_finalize_stream_map();
//void _ACC_gpu_wait(int id);
//void _ACC_gpu... | a9335900ec0de2e305d5e26812fcc071fd05edd6.cu | #include <stdio.h>
#include "acc_internal.h"
#include "acc_gpu_internal.h"
//funcs
//cudaStream_t _ACC_gpu_get_stream(int id);
//void _ACC_gpu_init_stream_map(int table_size);
//void _ACC_gpu_finalize_stream_map();
//void _ACC_gpu_wait(int id);
//void _ACC_gpu_wait_all();
//int _ACC_gpu_test(int id);
//int _ACC_gpu_t... |
794f5affa2c9a65bd6bb51db86852ec5c7069484.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <stdlib.h>
#define ARRAY_SIZE 1000;
__shared__ unsigned int d_bin_data_shared[256];
__global__ void histogram(
const unsigned int const * d_hist_data,
unsigned int * const d_bin_data
) {
/*... | 794f5affa2c9a65bd6bb51db86852ec5c7069484.cu | #include <stdio.h>
#include <cuda.h>
#include <stdlib.h>
#define ARRAY_SIZE 1000;
__shared__ unsigned int d_bin_data_shared[256];
__global__ void histogram(
const unsigned int const * d_hist_data,
unsigned int * const d_bin_data
) {
/* thread id */
const unsigned int idx = (blockId.x + blockDim.x) + ... |
a75e1f9a83c9451d3732cf0242fee30752c44d09.hip | // !!! This is a file automatically generated by hipify!!!
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in sour... | a75e1f9a83c9451d3732cf0242fee30752c44d09.cu | /***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... |
2b22996efad0e6e68ced37d2eedd3f6534c32426.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdlib>
#include <iostream>
#include <time.h>
#define DIM1 3
#define DIM2 3
__global__ void avg(float* in, float* out, int radius)
{
int tid = threadIdx.x + blockIdx.x * blockDim.x;
if(tid < DIM1 * DIM2)
{
... | 2b22996efad0e6e68ced37d2eedd3f6534c32426.cu | #include <cstdlib>
#include <iostream>
#include <time.h>
#define DIM1 3
#define DIM2 3
__global__ void avg(float* in, float* out, int radius)
{
int tid = threadIdx.x + blockIdx.x * blockDim.x;
if(tid < DIM1 * DIM2)
{
int x = tid / DIM1;
int y = tid % DIM2;
float count = 0;
float... |
9c1bbd8b48d1731d9180f6e797600c750804f32c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//---------------------------------------------------------------------------------
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <iostream>
//--------------------------------------------------------------------... | 9c1bbd8b48d1731d9180f6e797600c750804f32c.cu | //---------------------------------------------------------------------------------
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <iostream>
//---------------------------------------------------------------------------------
static const int N = 10; //Number of rows and columns
using namespace st... |
1537f77a400cd0148d5bad6c3b0753cf2f6d0c4b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
__global__ void findMaxInAccum(unsigned int* accum, int w_accum, int h_accum, int* dev_points, int* max)
{
int x = blockDim.x * blockIdx.x + threadIdx.x;
int y = blockDim.y * blockIdx.y + threadIdx.y;
int tid = y * w_accum + x;... | 1537f77a400cd0148d5bad6c3b0753cf2f6d0c4b.cu | __global__ void findMaxInAccum(unsigned int* accum, int w_accum, int h_accum, int* dev_points, int* max)
{
int x = blockDim.x * blockIdx.x + threadIdx.x;
int y = blockDim.y * blockIdx.y + threadIdx.y;
int tid = y * w_accum + x;
if (x >= w_accum || y >= h_accum)
return;
int old = (int)accum[tid];
atomicMax(&... |
dc6495889ab8556a0dbf6e533da16e3a6fecbbf4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_functions.h"
#include "cuda_globals.h"
__device__ myprec d_phi[mx*my*mz];
__device__ myprec d_rhs1[mx*my*mz];
__device__ myprec d_rhs2[mx*my*mz];
__device__ myprec d_rhs3[mx*my*mz];
__device__ myprec d_rhs4[mx*my*m... | dc6495889ab8556a0dbf6e533da16e3a6fecbbf4.cu | #include "cuda_functions.h"
#include "cuda_globals.h"
__device__ myprec d_phi[mx*my*mz];
__device__ myprec d_rhs1[mx*my*mz];
__device__ myprec d_rhs2[mx*my*mz];
__device__ myprec d_rhs3[mx*my*mz];
__device__ myprec d_rhs4[mx*my*mz];
__device__ myprec d_temp[mx*my*mz];
__device__ myprec d_tmp[mx*my*mz];
__device__ ... |
04146526c647eb01d286d455168d58ffbf8ab477.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <cassert>
__device__ float saru(unsigned int seed1, unsigned int seed2, unsigned int seed3)
{
seed3 ^= (seed1<<7)^(seed2>>6);
seed2 += (seed1>>4)^(seed3>>15);
seed1 ^= (seed2<<9)+(seed3<<8);
... | 04146526c647eb01d286d455168d58ffbf8ab477.cu | #include <cstdio>
#include <cassert>
__device__ float saru(unsigned int seed1, unsigned int seed2, unsigned int seed3)
{
seed3 ^= (seed1<<7)^(seed2>>6);
seed2 += (seed1>>4)^(seed3>>15);
seed1 ^= (seed2<<9)+(seed3<<8);
seed3 ^= 0xA5366B4D*((seed2>>11) ^ (seed1<<1));
seed2 += 0x72BE1579*((seed1<<4) ... |
a5cde406da654570b2cd4aff12f30d342f39c824.hip | // !!! This is a file automatically generated by hipify!!!
// Cuckoo Cycle, a memory-hard proof-of-work
// Copyright (c) 2013-2015 John Tromp
// The edge-trimming time-memory trade-off is due to Dave Anderson:
// http://da-data.blogspot.com/2014/03/a-public-review-of-cuckoo-cycle.html
#include <stdint.h>
#include <... | a5cde406da654570b2cd4aff12f30d342f39c824.cu | // Cuckoo Cycle, a memory-hard proof-of-work
// Copyright (c) 2013-2015 John Tromp
// The edge-trimming time-memory trade-off is due to Dave Anderson:
// http://da-data.blogspot.com/2014/03/a-public-review-of-cuckoo-cycle.html
#include <stdint.h>
#include <string.h>
#include <time.h>
#include "cuckoo.h"
#include "c... |
9c2c1e4ed49a5936c418049ecef1af5a4f101f54.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* 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/li... | 9c2c1e4ed49a5936c418049ecef1af5a4f101f54.cu | /*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* 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 ... |
7062ca5365a7f6cc1e2d11277f671c82347ebc2b.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hipfft.h>
#include "cu_errchk.h"
#include "cufft_addredundants.h"
/* This will generate an array that adds the redundant values of a
CUDA R2C transformation. This function was found here:
https://devtalk.nvidia.com/defaul... | 7062ca5365a7f6cc1e2d11277f671c82347ebc2b.cu | #include <cuda.h>
#include <cufft.h>
#include "cu_errchk.h"
#include "cufft_addredundants.h"
/* This will generate an array that adds the redundant values of a
CUDA R2C transformation. This function was found here:
https://devtalk.nvidia.com/default/topic/488433/cufft-only-gives-non-redundant-results/
*/
template<type... |
3c218534b6cd75a902220b70e3968072bd503444.hip | // !!! This is a file automatically generated by hipify!!!
/**
* \file dnn/src/cuda/conv_bias/chanwise/fwd.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agreed to in writing,
*... | 3c218534b6cd75a902220b70e3968072bd503444.cu | /**
* \file dnn/src/cuda/conv_bias/chanwise/fwd.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on a... |
25cbd062c83b9e96a2e04d355257284fa589c832.hip | // !!! This is a file automatically generated by hipify!!!
// Memoria global
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#define N 16
int main(int argc, char** argv) {
// declaraciones
float *hst_A, *hst_B;
float *dev_A, *dev_B;
// reserva en el host
hst_A = (float*)ma... | 25cbd062c83b9e96a2e04d355257284fa589c832.cu | // Memoria global
#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#define N 16
int main(int argc, char** argv) {
// declaraciones
float *hst_A, *hst_B;
float *dev_A, *dev_B;
// reserva en el host
hst_A = (float*)malloc(N * sizeof(float));
hst_B = (float*)malloc(N * sizeof... |
0beebb09025f8c0a0f830f3869c99586c7d1adff.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<cstdio>
#include<cstdlib>
#include "tools.h"
#include "timer.h"
#include "reorder.h"
#include "triangle.h"
#include "io.h"
int main(int argc, char *argv[]){
if(argc != 6){
fprintf(stderr, "usage: g_list <algor... | 0beebb09025f8c0a0f830f3869c99586c7d1adff.cu | #include<cstdio>
#include<cstdlib>
#include "tools.h"
#include "timer.h"
#include "reorder.h"
#include "triangle.h"
#include "io.h"
int main(int argc, char *argv[]){
if(argc != 6){
fprintf(stderr, "usage: g_list <algorithm> <input_path> <node_num> <thread_per_block> <block_num>\n");
return 0;
... |
abb88caae3c1f4094290baa1573d0ac5f25dae38.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// #include <stdio.h>
// #include <rocm_smi/rocm_smi.h>
#include "nvmlPower.hpp"
#include "nvmlPower.cpp"
//run command:
//nvcc additionFP32.cu -L/usr/lib64/nvidia -lnvidia-ml -lpthread -I/usr/local/cuda-7.0/samples/common/inc/... | abb88caae3c1f4094290baa1573d0ac5f25dae38.cu | // #include <stdio.h>
// #include <nvml.h>
#include "nvmlPower.hpp"
#include "nvmlPower.cpp"
//run command:
//nvcc additionFP32.cu -L/usr/lib64/nvidia -lnvidia-ml -lpthread -I/usr/local/cuda-7.0/samples/common/inc/ -I/nvmlPower.cpp
/*********************************************
******************Pair #1*********... |
floyd_gpu.hip | // !!! This is a file automatically generated by hipify!!!
#include <fstream>
#include <iostream>
// C++ Program for Floyd Warshall Algorithm
//#include <bits/stdc++.h>
#include <sys/time.h>
using namespace std;
#include <hip/hip_runtime.h>
/* Define Infinite as a large enough
value.This value will be used for... | floyd_gpu.cu | #include <fstream>
#include <iostream>
// C++ Program for Floyd Warshall Algorithm
//#include <bits/stdc++.h>
#include <sys/time.h>
using namespace std;
#include <cuda_runtime.h>
/* Define Infinite as a large enough
value.This value will be used for
vertices not connected to each other */
#define INF 99999 ... |
034b147d85431b5af2a3c2a2624b8c74968b0900.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* 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.o... | 034b147d85431b5af2a3c2a2624b8c74968b0900.cu | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* 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... |
e8a3e465ced7f63e615569e0140f2498c2bb5ca9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <limits.h>
#include <stdlib.h>
#include <ctime>
#include <sstream>
#include <string>
#include "gpu_hashtable.hpp"
__global__ void set_zero (key_value_pair *bucket, int bucket_size) {
int idx = blockId... | e8a3e465ced7f63e615569e0140f2498c2bb5ca9.cu | #include <iostream>
#include <limits.h>
#include <stdlib.h>
#include <ctime>
#include <sstream>
#include <string>
#include "gpu_hashtable.hpp"
__global__ void set_zero (key_value_pair *bucket, int bucket_size) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (bucket_size <= idx) {
return;
}
b... |
49f580695900ad62da38fc6110f0f070a5dcdd87.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_gcn.cuh"
#include "timer.h"
#include <algorithm>
#include <thrust/transform.h>
using std::max;
using std::max_element;
CUDAGCN::CUDAGCN(GCNParams params, GCNData *input_data) {
cuda_init_random_state(MAX_THREAD... | 49f580695900ad62da38fc6110f0f070a5dcdd87.cu | #include "cuda_gcn.cuh"
#include "timer.h"
#include <algorithm>
#include <thrust/transform.h>
using std::max;
using std::max_element;
CUDAGCN::CUDAGCN(GCNParams params, GCNData *input_data) {
cuda_init_random_state(MAX_THREAD_PER_BLOCK);
this->params = params;
data = input_data;
sp = new CUDASparseI... |
07d520b56d63190daf54539d2f6d0ca682339052.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "vecAddGPU.cu"
#include<chrono>
#include<iostream>
using namespac... | 07d520b56d63190daf54539d2f6d0ca682339052.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "vecAddGPU.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24}... |
cc1503f49ade276b8431006d9260ef7f544970ac.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <pthread.h>
#include <string.h>
#include <stdio.h>
#include <opencv/cvaux.h>
#include <opencv2/opencv.hpp>
#include <opencv/highgui.h>
#include <opencv/cxcore.h>
#include <opencv/cv.h>
#include <opencv2/imgproc/imgproc.hpp>
#include... | cc1503f49ade276b8431006d9260ef7f544970ac.cu | #include <stdlib.h>
#include <pthread.h>
#include <string.h>
#include <stdio.h>
#include <opencv/cvaux.h>
#include <opencv2/opencv.hpp>
#include <opencv/highgui.h>
#include <opencv/cxcore.h>
#include <opencv/cv.h>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/highgui/highgui.hpp"
#include <string>
#include <... |
7c86b1d17affa49de0769f9d9faabdd726ec6fa2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* 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
... | 7c86b1d17affa49de0769f9d9faabdd726ec6fa2.cu | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* 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... |
4e33e93f3964fd709d39a2a760458985601ed706.hip | // !!! This is a file automatically generated by hipify!!!
/*
*
* 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 requir... | 4e33e93f3964fd709d39a2a760458985601ed706.cu | /*
*
* 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
* ... |
f49b198f326cf5ba7818d8af6ba2db1bc5f4a177.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
extern "C" __global__ void
mmkernel( float* a, float* b, float* c,
int pitch_a, int pitch_b, int pitch_c,
int n, int m, int p )
{
int bx = blockDim.x;
int i = blockIdx.x * bx + threadIdx.x;
int j = blockIdx.y;
... | f49b198f326cf5ba7818d8af6ba2db1bc5f4a177.cu | extern "C" __global__ void
mmkernel( float* a, float* b, float* c,
int pitch_a, int pitch_b, int pitch_c,
int n, int m, int p )
{
int bx = blockDim.x;
int i = blockIdx.x * bx + threadIdx.x;
int j = blockIdx.y;
float sum = 0.0;
for( int k = 0; k < p; ++k )
sum += b[k*pitch_b+i] * c[k... |
40735239493165966ac140ce0bd53132bc861e42.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "__l2dist.cu"
#include<chrono>
#include<iostream>
using namespace... | 40735239493165966ac140ce0bd53132bc861e42.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "__l2dist.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},... |
469a99bdfad0394549cfcf14c72d75f05d34cb25.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, ... | 469a99bdfad0394549cfcf14c72d75f05d34cb25.cu | /*
* Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and related... |
05ec4dcc38bf33673f9030668476f91214660a77.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution a... | 05ec4dcc38bf33673f9030668476f91214660a77.cu | /******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provid... |
5c34ab4eda47e68a16cc6178c4baa2272be43850.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Adapted from interp.cpp from Caffe util by Pauline Luc
// Originally developed by George Papandreou
#include "THHUNN.h"
#include "THHTensor.hpp"
#include "common.h"
#include "linear_upsampling.h"
#include "THHDeviceTensor.cuh"
#i... | 5c34ab4eda47e68a16cc6178c4baa2272be43850.cu | // Adapted from interp.cpp from Caffe util by Pauline Luc
// Originally developed by George Papandreou
#include "THCUNN.h"
#include "THCTensor.hpp"
#include "common.h"
#include "linear_upsampling.h"
#include "THCDeviceTensor.cuh"
#include "THCDeviceTensorUtils.cuh"
#include "THCDeviceUtils.cuh"
#include "THCHalf.h"
#in... |
be39119b7da9eea3ef4947680f5e5a472874cde8.hip | // !!! This is a file automatically generated by hipify!!!
#include <torch/extension.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <vector>
#include <hipcub/hipcub.hpp>
#include <hip/hip_fp16.h>
#include <stdio.h>
__device__ void print_val(int blockid, int threadid, float value){
if (blocki... | be39119b7da9eea3ef4947680f5e5a472874cde8.cu | #include <torch/extension.h>
#include <cuda_runtime.h>
#include <cuda.h>
#include <vector>
#include <cub/cub.cuh>
#include <cuda_fp16.h>
#include <stdio.h>
__device__ void print_val(int blockid, int threadid, float value){
if (blockid == 0 && threadid == 0) printf("tid: %d, value is: %.8f\n", threadid, float(value... |
b1fa8b354109718bbd4a52a72299606d2ff9b99a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Cortex.cuh"
#include <iostream>
#include "sm_60_atomic_functions.h"
#include "CUDAHelper.cuh"
__global__ void cort_image_kernel(double *d_img, double *d_img_vector, SamplingPoint *d_fields,
uint2 cortImgSize, size_t loc... | b1fa8b354109718bbd4a52a72299606d2ff9b99a.cu | #include "Cortex.cuh"
#include <iostream>
#include "sm_60_atomic_functions.h"
#include "CUDAHelper.cuh"
__global__ void cort_image_kernel(double *d_img, double *d_img_vector, SamplingPoint *d_fields,
uint2 cortImgSize, size_t locSize, size_t vecLen, bool rgb) {
int globalIndex = blockIdx.x * blockDim.x + threadIdx.... |
f23c6c0ee881d4025fcb16695853a7357636c3c7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_kernel.cuh"
__global__ void dequantization_kernel(context* ctx, uint8_t *input_depth, float *output_depth)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
i... | f23c6c0ee881d4025fcb16695853a7357636c3c7.cu | #include "cuda_kernel.cuh"
__global__ void dequantization_kernel(context* ctx, uint8_t *input_depth, float *output_depth)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
int idx = x + y * blockDim.x * gridDim.x;
if(input_depth[idx] == 0) {
output... |
a310f72fa65fc67656124583c12f9e39d83fb416.hip | // !!! This is a file automatically generated by hipify!!!
#include<iostream>
#include<cuda.h>
#include<cuda_runtime.h>
#include <device_launch_parameters.h>
#include <hip/device_functions.h>
#include <hip/hip_runtime_api.h>
#include<cstdlib>
#include<cstdio>
using namespace std;
template<class T>
void print(T a){
... | a310f72fa65fc67656124583c12f9e39d83fb416.cu | #include<iostream>
#include<cuda.h>
#include<cuda_runtime.h>
#include <device_launch_parameters.h>
#include <device_functions.h>
#include <cuda_runtime_api.h>
#include<cstdlib>
#include<cstdio>
using namespace std;
template<class T>
void print(T a){
cout << a << endl;
}
//all kernels have the 'void' return type
... |
ccf5318b280268a5bc3cc412885ccc67ec393fad.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.0.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date February 2016
@generated from magmablas/ztrtri_diag_batched.cu normal... | ccf5318b280268a5bc3cc412885ccc67ec393fad.cu | /*
-- MAGMA (version 2.0.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date February 2016
@generated from magmablas/ztrtri_diag_batched.cu normal z -> s, Tue Feb 9 16:05:39 2016
@author Peng Du
@author Tingxing Dong
... |
b6ef4eec6d56508647c7ff09f04d125d8e9f2601.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// SDSC SCC Training - GPU Computing and Programming
// May 3, 2019
// Andreas Goetz (agoetz@sdsc.edu)
// CUDA program that performs 1D stencil operation in parallel on the GPU
//
#include<stdio.h>
// define vector length, stenci... | b6ef4eec6d56508647c7ff09f04d125d8e9f2601.cu | // SDSC SCC Training - GPU Computing and Programming
// May 3, 2019
// Andreas Goetz (agoetz@sdsc.edu)
// CUDA program that performs 1D stencil operation in parallel on the GPU
//
#include<stdio.h>
// define vector length, stencil radius,
#define N (1024*1024*8l)
#define RADIUS 3
#define GRIDSIZE 128
#define BLOCKS... |
dd110d95266d18a761da2d71df550b69ffe107bc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#define N 10
__global__ void add( int *a, int *b, int *c ) {
int tid = threadIdx.x;
if (tid < N)
c[tid] = a[tid] + b[tid];
}
int main( void ) {
int a[N], b[N], c[N];
int *dev_a, *dev_b, *... | dd110d95266d18a761da2d71df550b69ffe107bc.cu | #include <stdio.h>
#define N 10
__global__ void add( int *a, int *b, int *c ) {
int tid = threadIdx.x;
if (tid < N)
c[tid] = a[tid] + b[tid];
}
int main( void ) {
int a[N], b[N], c[N];
int *dev_a, *dev_b, *dev_c;
// allocate the memory on the GPU
cudaMalloc( (void**)&dev_a, N * sizeof(... |
0797d4551f567eebd5c2bd690b1041913ef64ebe.hip | // !!! This is a file automatically generated by hipify!!!
// See also GeantCudaUtils.cxx
#include "GeantCudaUtils.h"
#include "Geant/Propagator.h"
#include "Geant/Track.h"
#include "GeantConfig.h"
namespace geant {
inline namespace cuda {
void CoprocessorBrokerInitConstant()
{
double tolerance = 1e-7;
GEANT_CUD... | 0797d4551f567eebd5c2bd690b1041913ef64ebe.cu | // See also GeantCudaUtils.cxx
#include "GeantCudaUtils.h"
#include "Geant/Propagator.h"
#include "Geant/Track.h"
#include "GeantConfig.h"
namespace geant {
inline namespace cuda {
void CoprocessorBrokerInitConstant()
{
double tolerance = 1e-7;
GEANT_CUDA_ERROR(
cudaMemcpyToSymbol(device_constant::gToleran... |
6208b0b1bbae62f871eff07f4bdee4fc528b43a2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "span.h"
#include "common.h"
#include "gtest/gtest.h"
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#define SPAN_ASSERT_TRUE(cond, status) \
if (!(cond)... | 6208b0b1bbae62f871eff07f4bdee4fc528b43a2.cu | #include "span.h"
#include "common.h"
#include "gtest/gtest.h"
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#define SPAN_ASSERT_TRUE(cond, status) \
if (!(cond)) { \
*(status) = -1; \
... |
c867cd4a3e27ac2956585885678f2c72734b06fa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <faiss/gpu/impl/PQScanMultiPassP... | c867cd4a3e27ac2956585885678f2c72734b06fa.cu | /**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <faiss/gpu/impl/PQScanMultiPassPrecomputed.cuh>
#include <faiss/gpu/GpuResources.h>
#include <faiss/gpu/impl/PQCodeLoad.... |
bb4a5c70a48fffbd94b0b7b1b5ea778af28822cf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* 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... | bb4a5c70a48fffbd94b0b7b1b5ea778af28822cf.cu | /*
* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* 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 requir... |
c62e98cfd725c469b35323cbb7ac70bb92736a31.hip | // !!! This is a file automatically generated by hipify!!!
#include "imageFilteringGpu.cuh"
#include <opencv2/core/cuda/common.hpp>
#include <opencv2/cudev.hpp>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
texture<uchar, hipTextureType2D, hipReadModeElementType> srcTex(false, hipFilterModePoint,... | c62e98cfd725c469b35323cbb7ac70bb92736a31.cu | #include "imageFilteringGpu.cuh"
#include <opencv2/core/cuda/common.hpp>
#include <opencv2/cudev.hpp>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
texture<uchar, cudaTextureType2D, cudaReadModeElementType> srcTex(false, cudaFilterModePoint, cudaAddressModeClamp);
__global__ void imageFilteringGpu... |
9cb5a0202d519daf9c29dcc49bf2567caa4ad9b9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <stdio.h>
#include <cmath>
#include <math.h>
#include <cstdlib>
#include <ctime>
#include <fstream>
#include <cstring>
#include <string>
#include <algorithm>
#include <random>
#include <numeric>
#include... | 9cb5a0202d519daf9c29dcc49bf2567caa4ad9b9.cu | #include <iostream>
#include <stdio.h>
#include <cmath>
#include <math.h>
#include <cstdlib>
#include <ctime>
#include <fstream>
#include <cstring>
#include <string>
#include <algorithm>
#include <random>
#include <numeric>
#include <time.h>
#include <curand.h>
#include <curand_kernel.h>
//#include <thrust/sort.h>
//#i... |
0600ec73bc305db3bb4ec6c83f16bbce05ecc272.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <cstdio>
__global__ void mulKernel(int* c, const int* a, const int* b, const int WIDTH) {
int x = threadIdx.x;
int y = threadIdx.y;
int i = y * WIDTH + ... | 0600ec73bc305db3bb4ec6c83f16bbce05ecc272.cu | #include "cuda.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <cstdio>
__global__ void mulKernel(int* c, const int* a, const int* b, const int WIDTH) {
int x = threadIdx.x;
int y = threadIdx.y;
int i = y * WIDTH + x;
int sum = 0;
for (int k = 0; k < WIDTH; k++) {
sum += a[y*WIDTH+k... |
1d0164024a6dd38106de789fab531db2c2e7241d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2017 Sony Corporation. All Rights Reserved.
//
// 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 L... | 1d0164024a6dd38106de789fab531db2c2e7241d.cu | // Copyright (c) 2017 Sony Corporation. All Rights Reserved.
//
// 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 ... |
381d07a45f467f2e80479de15f4071be637b6199.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*---------------------------------------------------------------------------------------------------------------------------------------------*/
//Sriram Madhivanan
//GPU kernels
/*--------------------------------------------------... | 381d07a45f467f2e80479de15f4071be637b6199.cu | /*---------------------------------------------------------------------------------------------------------------------------------------------*/
//Sriram Madhivanan
//GPU kernels
/*------------------------------------------------------------------------------------------------------------------------------------------... |
299a17ce3400c19df7a199a151dc0d9a0071c2ab.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 2021-2023 by XGBoost Contributors
*/
#include <thrust/scan.h>
#include <algorithm>
#include <cassert>
#include <hipcub/hipcub.hpp>
#include <limits>
#include <memory>
#include <tuple>
#include <utility>
#include "../collective/device_communi... | 299a17ce3400c19df7a199a151dc0d9a0071c2ab.cu | /**
* Copyright 2021-2023 by XGBoost Contributors
*/
#include <thrust/scan.h>
#include <algorithm>
#include <cassert>
#include <cub/cub.cuh>
#include <limits>
#include <memory>
#include <tuple>
#include <utility>
#include "../collective/device_communicator.cuh"
#include "../common/optional_weight.h" // OptionalWei... |
1560217cd1485350dbb2ec0971bd82dbae3ac515.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2016, Xuhao Chen
#define BC_VARIANT "topo_base"
#include "bc.h"
#include "cuda_launch_config.hpp"
#include "cutil_subset.h"
#include "worklistc.h"
#include "timer.h"
#include <vector>
#include <thrust/extrema.h>
#in... | 1560217cd1485350dbb2ec0971bd82dbae3ac515.cu | // Copyright (c) 2016, Xuhao Chen
#define BC_VARIANT "topo_base"
#include "bc.h"
#include "cuda_launch_config.hpp"
#include "cutil_subset.h"
#include "worklistc.h"
#include "timer.h"
#include <vector>
#include <thrust/extrema.h>
#include <thrust/execution_policy.h>
__global__ void initialize(int m, int source, ScoreT ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.