hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
0f3a710b6263d3317296b56a53a44a4abde3642a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) Meta Platforms, Inc. and 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.
*/
// clang-format... | 0f3a710b6263d3317296b56a53a44a4abde3642a.cu | /*
* Copyright (c) Meta Platforms, Inc. and 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.
*/
// clang-format off
#include "codegen/embedding_forward_template_helpers.cuh"
using Tensor = at::Tenso... |
f35319d0af37bd6b582751b731c87b51c5859a73.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... | f35319d0af37bd6b582751b731c87b51c5859a73.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... |
22fcf3bfc18376932980ffe6e98cdc6a2632166a.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
// SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION &
// AFFILIATES. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use... | 22fcf3bfc18376932980ffe6e98cdc6a2632166a.cu | // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
// SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION &
// AFFILIATES. 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 ma... |
56cae366e998ff5144fbfbb2bd9d3c8cbce9aac9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#define ALLOC_SIZE 1024
#define ACCESS_DIR 1
__global__ void access_from_min_into_max_kernel(int *min, int *max) {
#ifdef R
volatile int i = min[max-min];
#elif W
min[max-min] = 42;
#endif
}
__global__... | 56cae366e998ff5144fbfbb2bd9d3c8cbce9aac9.cu | #include <stdio.h>
#define ALLOC_SIZE 1024
#define ACCESS_DIR 1
__global__ void access_from_min_into_max_kernel(int *min, int *max) {
#ifdef R
volatile int i = min[max-min];
#elif W
min[max-min] = 42;
#endif
}
__global__ void access_from_max_into_min_kernel(int *min, int *max) {
#ifdef R
volatile int i ... |
94226d1768af40e7dc086708a91709fc493f3b64.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2016 University of Cordoba and University of Illinois
* All rights reserved.
*
* Developed by: IMPACT Research Group
* University of Cordoba and University of Illinois
* http://impact.crhc.illinois.e... | 94226d1768af40e7dc086708a91709fc493f3b64.cu | /*
* Copyright (c) 2016 University of Cordoba and University of Illinois
* All rights reserved.
*
* Developed by: IMPACT Research Group
* University of Cordoba and University of Illinois
* http://impact.crhc.illinois.edu/
*
* Permission is hereby granted, free of charge, to ... |
677795e675ae1551651e4286a1f10e5330b76379.hip | // !!! This is a file automatically generated by hipify!!!
#include "cuda_demo.h"
#include "cuda_helpers.h"
#include <iostream>
int main(int argc, char** argv)
{
cuda_demo::device_memory::demonstrateDeviceMemory();
return 0;
}
void cuda_demo::device_memory::demonstrateDeviceMemory()
{
std::cout << "Device Memory ... | 677795e675ae1551651e4286a1f10e5330b76379.cu | #include "cuda_demo.h"
#include "cuda_helpers.h"
#include <iostream>
int main(int argc, char** argv)
{
cuda_demo::device_memory::demonstrateDeviceMemory();
return 0;
}
void cuda_demo::device_memory::demonstrateDeviceMemory()
{
std::cout << "Device Memory Demo\n";
std::cout << "==================\n\n";
linear_m... |
04f48885e5ab14a79ae00d54a7415ecfea5f765e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Program to solve Laplace equation on a regular 3D grid
//
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <helper_cuda.h>
///////////////////////////////////////////////////////////////... | 04f48885e5ab14a79ae00d54a7415ecfea5f765e.cu | //
// Program to solve Laplace equation on a regular 3D grid
//
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <helper_cuda.h>
////////////////////////////////////////////////////////////////////////
// define kernel block size
//////////////////////////////////////////////////... |
2f395ad56d767167174c6be072467832864cad61.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* This file belongs to the Galois project, a C++ library for exploiting parallelism.
* The code is being released under the terms of the 3-Clause BSD License (a
* copy is located in LICENSE.txt at the top-level directory).
*
... | 2f395ad56d767167174c6be072467832864cad61.cu | /*
* This file belongs to the Galois project, a C++ library for exploiting parallelism.
* The code is being released under the terms of the 3-Clause BSD License (a
* copy is located in LICENSE.txt at the top-level directory).
*
* Copyright (C) 2018, The University of Texas at Austin. All rights reserved.
* UNIVER... |
911f7755468e2f8dc5e5c12c22ecfb6034708774.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2014
@precisions normal z -> s d c
*/
#include "common_mag... | 911f7755468e2f8dc5e5c12c22ecfb6034708774.cu | /*
-- MAGMA (version 1.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2014
@precisions normal z -> s d c
*/
#include "common_magma.h"
// 512 is maximum number of threads for CUDA capability 1.x
#define BLOCK_SIZE 51... |
aaab3af8b6841b54113f9ae7eff8f0334bdfe5ed.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <psc_cuda.h>
// FIXME, do this always?
#define NO_CHECKERBOARD
#define BLOCKSIZE_X 1
#define BLOCKSIZE_Y 4
#define BLOCKSIZE_Z 4
#define PFX(x) sort_##x
#include "constants.c"
// FIXME, use const mem for some params
#... | aaab3af8b6841b54113f9ae7eff8f0334bdfe5ed.cu |
#include <psc_cuda.h>
// FIXME, do this always?
#define NO_CHECKERBOARD
#define BLOCKSIZE_X 1
#define BLOCKSIZE_Y 4
#define BLOCKSIZE_Z 4
#define PFX(x) sort_##x
#include "constants.c"
// FIXME, use const mem for some params
#if 0
__global__ static void find_cell_indices_by_cell(int n_part, particles_cuda_dev_t h... |
a23cfa29aeed1c01213c5b6785d9907e7f065d29.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/***************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All R... | a23cfa29aeed1c01213c5b6785d9907e7f065d29.cu |
/***************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
*******************************************************************... |
909fa33f5653fd1946fad77b0f48b5ba39cfe96b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void coalesced(float *A, float *C, const int N)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < N) C[i] = A[i];
} | 909fa33f5653fd1946fad77b0f48b5ba39cfe96b.cu | #include "includes.h"
__global__ void coalesced(float *A, float *C, const int N)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < N) C[i] = A[i];
} |
45296027b6ca65b8e5ae941f542df118d0fdf540.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// REQUIRES: nvptx-registered-target
// REQUIRES: amdgpu-registered-target
// Make sure we don't allow dynamic initialization for device
// variables, but accept empty constructors allowed by CUDA.
// RUN: %clang_cc1 -triple nvptx... | 45296027b6ca65b8e5ae941f542df118d0fdf540.cu | // REQUIRES: nvptx-registered-target
// REQUIRES: amdgpu-registered-target
// Make sure we don't allow dynamic initialization for device
// variables, but accept empty constructors allowed by CUDA.
// RUN: %clang_cc1 -triple nvptx64-nvidia-cuda -fcuda-is-device -std=c++11 \
// RUN: -fno-threadsafe-statics -emit-l... |
5743adb3de86e08f4465d2cce77229a01a05cfcc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2020 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 ... | 5743adb3de86e08f4465d2cce77229a01a05cfcc.cu | /* Copyright (c) 2020 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 a... |
91cce98de42976fb79a0a1f1b4883d6b534472dc.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,... | 91cce98de42976fb79a0a1f1b4883d6b534472dc.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.
*
*... |
34a44cfeedd21e3ccaa375658dbd42d23b223ead.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF lic... | 34a44cfeedd21e3ccaa375658dbd42d23b223ead.cu | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... |
4fb5dce5c981890f4191aaf42ff0c09c3f13a51d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "utils.cu"
__global__ void d_filter_BOX_GRAY(const uchar1* const src, unsigned char * const dst, int width, int height ) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
... | 4fb5dce5c981890f4191aaf42ff0c09c3f13a51d.cu | #include "utils.cu"
__global__ void d_filter_BOX_GRAY(const uchar1* const src, unsigned char * const dst, int width, int height ) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
Neighbours3x3<uchar1> neighbours;
d_getNeighbours_8(src, width, height, x, y, neighbo... |
65912fe8f5a97ff4c348292348c4388724e4210f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
#include "util/type_name.hpp"
#include "util/miscellany.cuh"
#include <kat/on_device/streams/printfing_ostream.cuh>
#include <kat/on_device/collaboration/block.cuh>
#include <kat/on_device... | 65912fe8f5a97ff4c348292348c4388724e4210f.cu | #define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
#include "util/type_name.hpp"
#include "util/miscellany.cuh"
#include <kat/on_device/streams/printfing_ostream.cuh>
#include <kat/on_device/collaboration/block.cuh>
#include <kat/on_device/time.cuh>
#include <doctest.h>
#include <cuda/api_wrappers.hpp>
constexpr const auto ... |
29f5d7c9d492907da9db16d96122e7ea417ca445.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <assert.h>
#define N 2//64
__device__ int bar () {
return 0;
}
__global__ void foo() {
assert (bar() ==0);
}
int main(){
hipLaunchKernelGGL(( foo), dim3(1), dim3(N), 0, 0, );
... | 29f5d7c9d492907da9db16d96122e7ea417ca445.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <assert.h>
#define N 2//64
__device__ int bar () {
return 0;
}
__global__ void foo() {
assert (bar() ==0);
}
int main(){
foo<<<1, N>>>();
//ESBMC_verify_kernel(foo, 1, N);
cudaThreadSynchronize();
return 0;
}
|
249a84e9118b2d770a4b1c74cac104b044f474dd.hip | // !!! This is a file automatically generated by hipify!!!
/******************************************************************************
MIT License
Copyright (c) 2016 Antti-Pekka Hynninen
Copyright (c) 2016 Oak Ridge National Laboratory (UT-Batelle)
Permission is hereby granted, free of charge, to any person obtai... | 249a84e9118b2d770a4b1c74cac104b044f474dd.cu | /******************************************************************************
MIT License
Copyright (c) 2016 Antti-Pekka Hynninen
Copyright (c) 2016 Oak Ridge National Laboratory (UT-Batelle)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation f... |
a135e20b9e934c4881690a648313c46126e20c58.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <math.h>
// Simple define to index into a 1D array from 2D space
#define I2D(num, c, r) ((r)*(num)+(c))
/*
* `step_kernel_mod` is currently a direct copy of the CPU reference solution
* `step_kernel_r... | a135e20b9e934c4881690a648313c46126e20c58.cu | #include <stdio.h>
#include <math.h>
// Simple define to index into a 1D array from 2D space
#define I2D(num, c, r) ((r)*(num)+(c))
/*
* `step_kernel_mod` is currently a direct copy of the CPU reference solution
* `step_kernel_ref` below. Accelerate it to run as a CUDA kernel.
*/
// =============================... |
4ac2f4ba67b3769a1cb8e9b050054b805d4fc0c6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_advec_mom_kernel2_x;
int xdim0_advec_mom_kernel2_x_h = -1;
__constant__ int ydim0_advec_mom_kernel2_x;
int ydim0_advec_mom_kernel2_x_h = -1;
__constant__ int xdim1_advec_mom_k... | 4ac2f4ba67b3769a1cb8e9b050054b805d4fc0c6.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_advec_mom_kernel2_x;
int xdim0_advec_mom_kernel2_x_h = -1;
__constant__ int ydim0_advec_mom_kernel2_x;
int ydim0_advec_mom_kernel2_x_h = -1;
__constant__ int xdim1_advec_mom_kernel2_x;
int xdim1_advec_mom_kernel2_x_h = -1;
__constant__ int ydim1_advec_mom_kernel2... |
c6e71e53b201d3781e42d759ab6fa9bf923811da.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "hip/hip_runtime.h"
#include "hip/device_functions.h"
#include "time.h"
#include <windows.h>
#include "device_launch_parameters.h"
#include "stdio.h"
// includes, project
// Thread block size
#d... | c6e71e53b201d3781e42d759ab6fa9bf923811da.cu | #include <stdlib.h>
#include <string.h>
#include <math.h>
#include "cuda_runtime.h"
#include "device_functions.h"
#include "time.h"
#include <windows.h>
#include "device_launch_parameters.h"
#include "stdio.h"
// includes, project
// Thread block size
#define BLOCK_SIZE 512
// Matrix dimensions
// (chosen as multiple... |
fb04c058b2352809d63ce5b0ff4fd9273c12dcf0.hip | // !!! This is a file automatically generated by hipify!!!
//Example 2. Application Using C and cuBLAS: 0-based indexing
//-----------------------------------------------------------
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include "rocblas.h"
#define M 6
#define N 5
#defin... | fb04c058b2352809d63ce5b0ff4fd9273c12dcf0.cu | //Example 2. Application Using C and cuBLAS: 0-based indexing
//-----------------------------------------------------------
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <cuda_runtime.h>
#include "cublas_v2.h"
#define M 6
#define N 5
#define IDX2C(i,j,ld) (((j)*(ld))+(i))
static __inline__ void mod... |
bd91b607017fad7b85ef74328dfa04d0d221fea4.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime_api.h>
#include "clusteringZero.h"
using namespace std;
__global__ void clusteringZero(float **var, int **intVar){
int nfib = *intVar[6];
int *cluster = intVar[35];
int *clusterAccess = in... | bd91b607017fad7b85ef74328dfa04d0d221fea4.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime_api.h>
#include "clusteringZero.h"
using namespace std;
__global__ void clusteringZero(float **var, int **intVar){
int nfib = *intVar[6];
int *cluster = intVar[35];
int *clusterAccess = intVar[36];
int m = threadIdx.x+blockIdx.x*blockDim.x;
in... |
5e34f090b39856020ba60b30d87b6e073b578f54.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2009-2021 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
#include "PPPMForceComputeGPU.cuh"
#include "hoomd/TextureTools.h"
// __... | 5e34f090b39856020ba60b30d87b6e073b578f54.cu | // Copyright (c) 2009-2021 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
#include "PPPMForceComputeGPU.cuh"
#include "hoomd/TextureTools.h"
// __scalar2int_rd is __float2int_rd in single, __double2int_rd in double
#ifdef SINGLE_PRECI... |
2f4e20a564c8bf34bb5399984f06262f081dd840.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under ... | 2f4e20a564c8bf34bb5399984f06262f081dd840.cu | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* 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.apa... |
5c5cd9a6efdfcc9667e2a516179fa7b477326326.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 "kernel_hadamard_fl.cu"
#include<chrono>
#include<iostream>
using... | 5c5cd9a6efdfcc9667e2a516179fa7b477326326.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 "kernel_hadamard_fl.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16... |
b0dc1227505c5461dd2a95381ca061d78caf5106.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2021-2022, 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.o... | b0dc1227505c5461dd2a95381ca061d78caf5106.cu | /*
* Copyright (c) 2021-2022, 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... |
567bb0f546573f8c5c58f7ec02f7131c1d990e9a.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, ... | 567bb0f546573f8c5c58f7ec02f7131c1d990e9a.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... |
fda85e4eae95f0ee69666a797d275b69e14ab07d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#if GOOGLE_CUDA
#include "ew_op_gpu.h"
#include <stdio.h>
// xmean = x - mean(x, axis=1)
// xvar = var(x, axis=1)
// xstdr = rcp(sqrt(xvar + epsilon))
// xhat = xmean * xstdr
// y = xhat*g + b
template <typename T, typename... | fda85e4eae95f0ee69666a797d275b69e14ab07d.cu |
#if GOOGLE_CUDA
#include "ew_op_gpu.h"
#include <stdio.h>
// xmean = x - mean(x, axis=1)
// xvar = var(x, axis=1)
// xstdr = rcp(sqrt(xvar + epsilon))
// xhat = xmean * xstdr
// y = xhat*g + b
template <typename T, typename V, int THREADS>
__global__ void __launch_bounds__(THREADS) layer_norm_NC(
... |
36c4123f711d0097e24499dde631d76d9409e228.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@generated from ztranspose_inplace.cu normal z -> c, F... | 36c4123f711d0097e24499dde631d76d9409e228.cu | /*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@generated from ztranspose_inplace.cu normal z -> c, Fri Sep 11 18:29:21 2015
@author Stan Tomov
@author Mark Gates
*/
#include... |
9230dfc9a607a28e87ebc2fe7b778145e7101d56.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*-------------------------------------------------------------------------
*
* MATLAB MEX functions for TV image denoising. Check inputs and parses
* MATLAB data to C++ data.
*
*
* CODE by Imanol Luengo
* PhD st... | 9230dfc9a607a28e87ebc2fe7b778145e7101d56.cu | /*-------------------------------------------------------------------------
*
* MATLAB MEX functions for TV image denoising. Check inputs and parses
* MATLAB data to C++ data.
*
*
* CODE by Imanol Luengo
* PhD student University of Nottingham
* imaluengo@gmail.com
* 2015
* ... |
b3cb6ec08e40a8ddd641d9a28eb077472bbbdfab.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2019 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 ... | b3cb6ec08e40a8ddd641d9a28eb077472bbbdfab.cu | /* Copyright (c) 2019 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... |
5dbc302dafd21db4d1bac7b5140079769bf7183c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__device__ float gamma_correction(float f_stop, float gamma, float val)
{
return powf((val*powf(2.0,f_stop)),(1.0/gamma));
}
__device__ float rgb2Lum(float B, float G, float R)
{
return B * 0.0722 + G * 0.7152 ... | 5dbc302dafd21db4d1bac7b5140079769bf7183c.cu | #include "includes.h"
__device__ float gamma_correction(float f_stop, float gamma, float val)
{
return powf((val*powf(2.0,f_stop)),(1.0/gamma));
}
__device__ float rgb2Lum(float B, float G, float R)
{
return B * 0.0722 + G * 0.7152 + R * 0.2126;
}
__global__ void gamma_tonemap_kernel(float* imageIn, float* imageOut, in... |
de40f16b14bd1d9658ba830bec4d4e1c563a36fd.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include "cuda_kernel.cuh"
#include "cuda_threadindex.cuh"
#include <stdio.h>
/**
* Calculate sum of vectors
*/
__global__ void matrix_mul_gpu_element(float *gpuA, float *gpuB, float *gpuC, int n) {
... | de40f16b14bd1d9658ba830bec4d4e1c563a36fd.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include "cuda_kernel.cuh"
#include "cuda_threadindex.cuh"
#include <stdio.h>
/**
* Calculate sum of vectors
*/
__global__ void matrix_mul_gpu_element(float *gpuA, float *gpuB, float *gpuC, int n) {
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockId... |
1a09cb2c5aba690e0489e12f7195f9862b3d5225.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 "dwt_per_X_O.cu"
#include<chrono>
#include<iostream>
using namesp... | 1a09cb2c5aba690e0489e12f7195f9862b3d5225.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 "dwt_per_X_O.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,2... |
727996e4ef9e07cfbee192cca2fe898f9dd2e270.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include "image_properties.h"
#include "array_properties.h"
#include "shared_functions.h"
#include "serial_functions.h"
__global__ void
parallel_train_ne... | 727996e4ef9e07cfbee192cca2fe898f9dd2e270.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include "image_properties.h"
#include "array_properties.h"
#include "shared_functions.h"
#include "serial_functions.h"
__global__ void
parallel_train_network(image_chunk * image_grid, network_chunk * network_grid)
... |
54beeccc68794622e7832e90dfb36c6d1288ee29.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2014 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 soft... | 54beeccc68794622e7832e90dfb36c6d1288ee29.cu | /*
* Copyright 1993-2014 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... |
1abd15d986993fd3aca5a2986bd22759f0761c47.hip | // !!! This is a file automatically generated by hipify!!!
/**
https://blog.csdn.net/Bruce_0712/article/details/64928442
hipDeviceSynchronize()CPUGPUCUDAkernel
hipDeviceSynchronize()cudaDeviceSynchronize()CUDA
hipStreamSynchronize()stream IDCPUGPUstream IDCUDAstreamCUDA
warp __ syncthreads
(1)warpshared/global ,
g... | 1abd15d986993fd3aca5a2986bd22759f0761c47.cu | /**
https://blog.csdn.net/Bruce_0712/article/details/64928442
cudaDeviceSynchronize()：该方法将停止CPU端线程的执行，直到GPU端完成之前CUDA的任务，包括kernel函数、数据拷贝等。
cudaThreadSynchronize()：该方法的作用和cudaDeviceSynchronize()基本相同，但它不是一个被推荐的方法，也许在后期版本的CUDA中会被删除。
cudaStreamSynchronize()：这个方法接受一个stream ID，它将阻止CPU执行直到GPU端完成相应stream ID的所有CUDA任务，但其它stream中... |
f377b5a1141f552e495266dac94bb927b36736c1.hip | // !!! This is a file automatically generated by hipify!!!
/*************************************************************************
* Copyright (c) 2016-2019, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
**********************************************************************... | f377b5a1141f552e495266dac94bb927b36736c1.cu | /*************************************************************************
* Copyright (c) 2016-2019, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "cuda_runtime.h"
#include "common.h"
void pr... |
890f52f55341d843ccd46f482d19a09e5f6002d3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
% Function: generate_dmrs_pusch
% Description: Generates LTE demodulation reference signal for PUSCH
% Inputs: N_subfr - Subframe number within a radio frame
% N_id_cell - Phys... | 890f52f55341d843ccd46f482d19a09e5f6002d3.cu | /*
% Function: generate_dmrs_pusch
% Description: Generates LTE demodulation reference signal for PUSCH
% Inputs: N_subfr - Subframe number within a radio frame
% N_id_cell - Physical layer cell identity
% delta_ss - Configurable portion ... |
0bb265083258c67ecfc1f1c40c2e6d2b6b9d3f63.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... | 0bb265083258c67ecfc1f1c40c2e6d2b6b9d3f63.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... |
1d9b7fcc6cbaa1d63489b94c088a9f85b969c2b0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Driver for routine EIGSRT */
#include <stdio.h>
//#include "nr.h"
//#include "nrutil.h"
#include <sys/time.h>
#include <stdlib.h>
//#include"jacobiMultipCUDA.h"
//#define NP 128
#include <stdbool.h>
#define NR_END 1
#define ... | 1d9b7fcc6cbaa1d63489b94c088a9f85b969c2b0.cu | /* Driver for routine EIGSRT */
#include <stdio.h>
//#include "nr.h"
//#include "nrutil.h"
#include <sys/time.h>
#include <stdlib.h>
//#include"jacobiMultipCUDA.h"
//#define NP 128
#include <stdbool.h>
#define NR_END 1
#define FREE_ARG char*
void get_walltime_(double* wcTime) {
struct timeval tp;
gettimeofd... |
a003a4217f4fa51782836dca315e1a410d6a2e6b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <fstream>
#include <vector>
#include <stdlib.h>
//#include <common\book.h>
#define DIM 512
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(hipError_t code, char *f... | a003a4217f4fa51782836dca315e1a410d6a2e6b.cu | #include <iostream>
#include <fstream>
#include <vector>
#include <stdlib.h>
//#include <common\book.h>
#define DIM 512
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, char *file, int line, bool abort=true)
{
if (code != cudaSuccess)
{
fprintf(stderr... |
90750cda802b8cb4840f0f0e900e97783526efce.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include <cstdio>
#include <thrust/sort.h>
#include <helper_cuda.h>
#include <sys/time.h>
#include <omp.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <fcntl.h>
#inc... | 90750cda802b8cb4840f0f0e900e97783526efce.cu | #include <iostream>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <cstdio>
#include <thrust/sort.h>
#include <helper_cuda.h>
#include <sys/time.h>
#include <omp.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <unistd.h>
#include "mpi.h"
#include "tbb/parallel_sort.h... |
23816bf4b82a0f52b1c5240e1b0d865cf166b593.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef CUDA_VISION_RL_KERNELS_H
#define CUDA_VISION_RL_KERNELS_H
// includes, system
#include <algorithm>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <iostream>
#include <time.h>
#include <boost/math/common_factor.hp... | 23816bf4b82a0f52b1c5240e1b0d865cf166b593.cu | #ifndef CUDA_VISION_RL_KERNELS_H
#define CUDA_VISION_RL_KERNELS_H
// includes, system
#include <algorithm>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <iostream>
#include <time.h>
#include <boost/math/common_factor.hpp>
#include <cuda.h>
// includes, project
#include <cuda_... |
e6c456a1776a4ac6173a90bd8f55420eeed289ac.hip | // !!! This is a file automatically generated by hipify!!!
//
// Created by Jacob Austin on 5/17/18.
//
#define GLM_FORCE_PURE
#include "mass.h"
Mass::Mass() {
m = 1.0;
dt = 0.0001;
damping = 1.0;
T = 0;
valid = true;
arrayptr = nullptr;
ref_count = 0;
#ifdef GRAPHICS
color = Vec(1.0,... | e6c456a1776a4ac6173a90bd8f55420eeed289ac.cu | //
// Created by Jacob Austin on 5/17/18.
//
#define GLM_FORCE_PURE
#include "mass.h"
Mass::Mass() {
m = 1.0;
dt = 0.0001;
damping = 1.0;
T = 0;
valid = true;
arrayptr = nullptr;
ref_count = 0;
#ifdef GRAPHICS
color = Vec(1.0, 0.2, 0.2);
#endif
} // constructor TODO fix timing
void M... |
9cf1233c476333c15de1b1b8cfdd6ef09891ad9d.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <vector>
#include <algorithm>
#include <iostream>
//#define n 256000
using namespace std;
int CPU_results(int *C, int *B,int *A,int N)
{
for(int i=0;i<N;i++)
C[B[i]]=A[i];
return... | 9cf1233c476333c15de1b1b8cfdd6ef09891ad9d.cu | #include <cuda.h>
#include <stdio.h>
#include <stdlib.h>
#include <vector>
#include <algorithm>
#include <iostream>
//#define n 256000
using namespace std;
int CPU_results(int *C, int *B,int *A,int N)
{
for(int i=0;i<N;i++)
C[B[i]]=A[i];
return 0;
}
int check_results(int *C, int *B, int *A, int N)
{
for(int i=0;... |
50a3917303fc6dfd269f42051056f6e5a05b025d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020-2023, 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
... | 50a3917303fc6dfd269f42051056f6e5a05b025d.cu | /*
* Copyright (c) 2020-2023, 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... |
8a4c2b44313224a5ec1f30bd8040710d998e2d44.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <c10/macros/Macros.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/native/hip/block_red... | 8a4c2b44313224a5ec1f30bd8040710d998e2d44.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <c10/macros/Macros.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/native/cuda/block_reduce.cuh>
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/... |
b688735b3a60c9291adeb2c44ce24d687a33c547.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <tune_quda.h>
#include <gauge_field.h>
#include <jitify_helper.cuh>
#include <kernels/field_strength_tensor.cuh>
#include <instantiate.h>
namespace quda
{
template <typename Float, int nColor, QudaReconstructType recon... | b688735b3a60c9291adeb2c44ce24d687a33c547.cu | #include <tune_quda.h>
#include <gauge_field.h>
#include <jitify_helper.cuh>
#include <kernels/field_strength_tensor.cuh>
#include <instantiate.h>
namespace quda
{
template <typename Float, int nColor, QudaReconstructType recon> class Fmunu : TunableVectorYZ
{
FmunuArg<Float, nColor, recon> arg;
const Ga... |
27853cda90d971948a1c5d30cf692bcf3ce45314.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#define BLOCK_SIZE 16
__global__ void mandelKernel(int* d_img, float lowerX, float lowerY, float stepX, float stepY, int width, int height, int maxIterations)
{
// To avoid error caused by... | 27853cda90d971948a1c5d30cf692bcf3ce45314.cu | #include <cuda.h>
#include <stdio.h>
#include <stdlib.h>
#define BLOCK_SIZE 16
__global__ void mandelKernel(int* d_img, float lowerX, float lowerY, float stepX, float stepY, int width, int height, int maxIterations)
{
// To avoid error caused by the floating number, use the following pseudo code
// float x = l... |
b32cb76780c323c82cf3bc6a3ad629d73757f3c8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
csymv.cu is nearly identical to chemv.cu, just c... | b32cb76780c323c82cf3bc6a3ad629d73757f3c8.cu | /*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
csymv.cu is nearly identical to chemv.cu, just change names and drop MAGMA_C_CONJ.
csymv_kernel_U (upper) in csymv_upper.... |
ca73f6ca8da1b5b395ba184dad692ef9f7d8eb1c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
// these are just for timing measurments
#include <time.h>
// error checking macro
#define cudaCheckErrors(msg) \
do { \
hipError_t __err = hipGetLastError(); \
if (__err != hipSuccess) { \
... | ca73f6ca8da1b5b395ba184dad692ef9f7d8eb1c.cu | #include <stdio.h>
// these are just for timing measurments
#include <time.h>
// error checking macro
#define cudaCheckErrors(msg) \
do { \
cudaError_t __err = cudaGetLastError(); \
if (__err != cudaSuccess) { \
fprintf(stderr, "Fatal error: %s (%s at %s:%d)\n", \
msg, ... |
d286a8ff990063894dd22daf05694def9f9688e9.hip | // !!! This is a file automatically generated by hipify!!!
/*****************************************************************************
hotspot.cu
(c) 2014 - Nikhil R Podduturi, J. Seth Strattan
J. Michael Cherry Lab, Department of Genetics, Stanford University School of Medicine
Licensed under the GNU Gene... | d286a8ff990063894dd22daf05694def9f9688e9.cu | /*****************************************************************************
hotspot.cu
(c) 2014 - Nikhil R Podduturi, J. Seth Strattan
J. Michael Cherry Lab, Department of Genetics, Stanford University School of Medicine
Licensed under the GNU General Public License 2.0 license.
***************************... |
1f0c4b03dbf6f5bc3fdfce1561bdc9a5bea1453b.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,... | 1f0c4b03dbf6f5bc3fdfce1561bdc9a5bea1453b.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 relate... |
0e37d6d2c26590beaf1e41879adcb4bdbcb1ea4a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* \file dnn/src/cuda/padding/padding.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 ag... | 0e37d6d2c26590beaf1e41879adcb4bdbcb1ea4a.cu | /**
* \file dnn/src/cuda/padding/padding.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 an
* "A... |
9a6f19152685e45b24ac07c376c5060f340971e0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2009-2023 The Regents of the University of Michigan.
// Part of HOOMD-blue, released under the BSD 3-Clause License.
#include "ActiveForceComputeGPU.cuh"
#include "hoomd/RNGIdentifiers.h"
#include "hoomd/RandomNumb... | 9a6f19152685e45b24ac07c376c5060f340971e0.cu | // Copyright (c) 2009-2023 The Regents of the University of Michigan.
// Part of HOOMD-blue, released under the BSD 3-Clause License.
#include "ActiveForceComputeGPU.cuh"
#include "hoomd/RNGIdentifiers.h"
#include "hoomd/RandomNumbers.h"
#include "hoomd/TextureTools.h"
#include <assert.h>
/*! \file ActiveForceComput... |
6fbc6ff741810adcbe3f2a5fca25b37a84aa7f30.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef _STEER_TO_AVOID_CLOSE_NEIGHBORS_CU_
#define _STEER_TO_AVOID_CLOSE_NEIGHBORS_CU_
#include <hip/hip_runtime.h>
#include "OpenSteer/VehicleData.h"
#include "OpenSteer/NeighborData.h"
#include "CUDAKernelOptions.cu"
#include "CUDAVectorUtilities.cu"
#defi... | 6fbc6ff741810adcbe3f2a5fca25b37a84aa7f30.cu | #ifndef _STEER_TO_AVOID_CLOSE_NEIGHBORS_CU_
#define _STEER_TO_AVOID_CLOSE_NEIGHBORS_CU_
#include <cuda_runtime.h>
#include "OpenSteer/VehicleData.h"
#include "OpenSteer/NeighborData.h"
#include "CUDAKernelOptions.cu"
#include "CUDAVectorUtilities.cu"
#define CHECK_BANK_CONFLICTS 0
#if CHECK_BANK_CONFLICTS
#define N_I... |
7c4201f53a419ebc2413e95e9c87716afc7235ab.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <transform.h>
__device__ double op(double d1,double *params) {
return -d1;
}
extern "C"
__global__ void neg_strided_double(int n,int idx,double *dy,int incy,double *params,double *result) {
transform(n,idx... | 7c4201f53a419ebc2413e95e9c87716afc7235ab.cu | #include <transform.h>
__device__ double op(double d1,double *params) {
return -d1;
}
extern "C"
__global__ void neg_strided_double(int n,int idx,double *dy,int incy,double *params,double *result) {
transform(n,idx,dy,incy,params,result);
}
|
33ede4ef504dbf35660bea402ac053102d85f42c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.6.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2015
@precisions normal z -> c d s
@author Peng Du
... | 33ede4ef504dbf35660bea402ac053102d85f42c.cu | /*
-- MAGMA (version 1.6.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2015
@precisions normal z -> c d s
@author Peng Du
@author Tingxing Dong
@author Mark Gates
@author Azzam Haidar
... |
0ad62a6c6c8dc584772629997c79bca0822b3cc6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <omp.h>
#include <stdio.h>
using namespace std;
template <class T>
double cpu_perman64_sparse(int* cptrs, int* rows, T* cvals, double x[], int nov, long long start, long long end, int threads) {
double p = 0; //product ... | 0ad62a6c6c8dc584772629997c79bca0822b3cc6.cu | #include <omp.h>
#include <stdio.h>
using namespace std;
template <class T>
double cpu_perman64_sparse(int* cptrs, int* rows, T* cvals, double x[], int nov, long long start, long long end, int threads) {
double p = 0; //product of the elements in vector 'x'
long long one = 1;
long long chunk_size = (end - start... |
585f4d129ad943a8a467ac3fdf6208dfa81ed373.hip | // !!! This is a file automatically generated by hipify!!!
// CUDA codes for Projection calculation
#ifndef __BACKPROJ_CAL_CU
#define __BACKPROJ_CAL_CU
#include <stdio.h>
#include <stdlib.h>
#include <cutil_inline.h>
#include <cutil.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
#include <cutil_ma... | 585f4d129ad943a8a467ac3fdf6208dfa81ed373.cu |
// CUDA codes for Projection calculation
#ifndef __BACKPROJ_CAL_CU
#define __BACKPROJ_CAL_CU
#include <stdio.h>
#include <stdlib.h>
#include <cutil_inline.h>
#include <cutil.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <cutil_math.h>
#include "ParallelBeamEM.h"
texture<float, 3, cudaReadModeElement... |
703bd70864241edbbfab0623a0abd73a00ae4cad.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 "rsub_scalar_double.cu"
#include<chrono>
#include<iostream>
using... | 703bd70864241edbbfab0623a0abd73a00ae4cad.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 "rsub_scalar_double.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16... |
e38d4dc9da9cb16ba1452fb6aecd9463e391b0d0.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <math.h>
#include <vector>
#include <hip/hip_runtime.h>
#include <hip/hip_fp16.h>
#include <hip/hip_runtime_api.h>
#include <hip/hip_runtime.h>
#include <ATen/ATen.h>
#include <ATen/hip/HIPContext.h>
#include <torch/extension.h>
... | e38d4dc9da9cb16ba1452fb6aecd9463e391b0d0.cu | #include <iostream>
#include <math.h>
#include <vector>
#include <cuda.h>
#include <cuda_fp16.h>
#include <cuda_profiler_api.h>
#include <cuda_runtime.h>
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <torch/extension.h>
#include "dropout.cuh"
#include "softmax.cuh"
#include "strided_batched_gemm... |
ab57d38e098cb64110df8c11c5244b423acd3d85.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <vector>
#include <cmath>
#include "wfPad.h"
#include "timer.h"
extern "C"
{
typedef thrust::complex<float> fcomp;
__global__ void copyPadded(fcomp * paste, fcomp * copyied, int nf, int nx, int M)
{... | ab57d38e098cb64110df8c11c5244b423acd3d85.cu |
#include <iostream>
#include <vector>
#include <cmath>
#include "wfPad.h"
#include "timer.h"
extern "C"
{
typedef thrust::complex<float> fcomp;
__global__ void copyPadded(fcomp * paste, fcomp * copyied, int nf, int nx, int M)
{
int dim_x = nx+2*M;
int pixelIdx_x = blockIdx.x * blockDim.x + threadIdx.x;
... |
a6003c0227610c866d6a0bc3360a3217b68b9593.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include <hipcub/hipcub.hpp>
#include "caffe2/core/context_gpu.h"
#include "softmax_op.h"
#include "softmax_with_loss_op.h"
#include "spatial_softmax_with_loss_op.h"
namespace caffe2 {
namespace {
__global__ vo... | a6003c0227610c866d6a0bc3360a3217b68b9593.cu | #include <cfloat>
#include <cub/block/block_reduce.cuh>
#include "caffe2/core/context_gpu.h"
#include "softmax_op.h"
#include "softmax_with_loss_op.h"
#include "spatial_softmax_with_loss_op.h"
namespace caffe2 {
namespace {
__global__ void LabelCrossEntropyKernel(
const int N,
const int D,
const float* ... |
6ac560123b598cda30eb699205a8fe078a840647.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) Meta Platforms, Inc. and 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.
*/
// This file... | 6ac560123b598cda30eb699205a8fe078a840647.cu | /*
* Copyright (c) Meta Platforms, Inc. and 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.
*/
// This file is auto-generated. See "generate_kernels.py"
#include <ATen/native/transformers/cuda/me... |
48803654c89cb5f015262efe9d3bb94f7515529a.hip | // !!! This is a file automatically generated by hipify!!!
#include <opencv2/cudafeatures2d.hpp>
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "labeling_algorithms.h"
#include "register.h"
// This algorithm is a variation of BUF divided into two stages.
// Initially, CCL il performed on... | 48803654c89cb5f015262efe9d3bb94f7515529a.cu | #include <opencv2/cudafeatures2d.hpp>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "labeling_algorithms.h"
#include "register.h"
// This algorithm is a variation of BUF divided into two stages.
// Initially, CCL il performed on separated blocks using shared memory.
// Then, labels on bloc... |
3d62dcc55395065d5b96c8c823fb332ba8306984.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*****************************************************************************************
dopoffs.c
Takes the delay-correction polynomial for a Doppler... | 3d62dcc55395065d5b96c8c823fb332ba8306984.cu | /*****************************************************************************************
dopoffs.c
Takes the delay-correction polynomial for a Doppler dataset and figures out the COM
Doppler corrections (in units of Doppler bins) for each... |
1dea2c9e9b60ac602b6296d46073881c4a9f7ce8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef SOFTMAX_LAYER_CUH_
#define SOFTMAX_LAYER_CUH_
#include <assert.h>
#include <math.h>
#include "basics/layer.hpp"
#include "basics/tensor.cu"
#include "basics/session.hpp"
// TODO: implement CUDA kernel for backward()
#def... | 1dea2c9e9b60ac602b6296d46073881c4a9f7ce8.cu |
#ifndef SOFTMAX_LAYER_CUH_
#define SOFTMAX_LAYER_CUH_
#include <assert.h>
#include <math.h>
#include "basics/layer.hpp"
#include "basics/tensor.cu"
#include "basics/session.hpp"
// TODO: implement CUDA kernel for backward()
#define BLOCKDIM 32
namespace SoftmaxGPUKernels {
template <class Dtype>
__global__ vo... |
4990bee16e2de805e77f018ebbf23baa01eadad5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Accelerating large graph algorithms on the GPU using CUDA
// http://dl.acm.org/citation.cfm?id=1782200
__global__ void kernel_cuda_frontier(
int *v_adj_list,
int *v_adj_begin,
int *v_adj_length,
int num_vertices,... | 4990bee16e2de805e77f018ebbf23baa01eadad5.cu | // Accelerating large graph algorithms on the GPU using CUDA
// http://dl.acm.org/citation.cfm?id=1782200
__global__ void kernel_cuda_frontier(
int *v_adj_list,
int *v_adj_begin,
int *v_adj_length,
int num_vertices,
int *result,
bool *updated,
bool *frontier,
bool *still_running,
bo... |
63d9f1ac996f394481e09ee61680e82d692bb888.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 <hiprand/hiprand.h>
#include <stdio.h>
#include <math.h>
#include <float.h>
#define NUM_THREADS 512
#define BLOCK 512
#define IDX(b,l,t,m,i,cum... | 63d9f1ac996f394481e09ee61680e82d692bb888.cu | #include <torch/extension.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <vector>
#include <curand.h>
#include <stdio.h>
#include <math.h>
#include <float.h>
#define NUM_THREADS 512
#define BLOCK 512
#define IDX(b,l,t,m,i,cum,L) (i+2*(m+t*(2*l+1)+cum[l]+b*cum[L+1]))
#define PLUSMINUS(k) ((k%2==1) ? -1 : 1)... |
d19b47629f970c425ca928142613080179455d4e.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 "kernel_euclidean_norm.cu"
#include<chrono>
#include<iostream>
us... | d19b47629f970c425ca928142613080179455d4e.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 "kernel_euclidean_norm.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16... |
468b0da8152bd5290c1206388ce0a7d17ebebcea.hip | // !!! This is a file automatically generated by hipify!!!
// 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:... | 468b0da8152bd5290c1206388ce0a7d17ebebcea.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... |
5e96c1a1108acb9d4ba291a570297e2bb6898939.hip | // !!! This is a file automatically generated by hipify!!!
/* The MathWorks Inc. 2019*/
/* ResNet50 demo main.cu file with OpenCV interfaces to read and display data. */
#include "resnet50_wrapper.h"
#include "main_resnet50.h"
#include "resnet50_wrapper_terminate.h"
#include "resnet50_wrapper_initialize.h"
#include ... | 5e96c1a1108acb9d4ba291a570297e2bb6898939.cu | /* The MathWorks Inc. 2019*/
/* ResNet50 demo main.cu file with OpenCV interfaces to read and display data. */
#include "resnet50_wrapper.h"
#include "main_resnet50.h"
#include "resnet50_wrapper_terminate.h"
#include "resnet50_wrapper_initialize.h"
#include "opencv2/opencv.hpp"
#include <stdio.h>
#include <stdlib.h>... |
f9009ba0f388ea7454fd9a980f8ae137e472aff9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <hip/hip_cooperative_groups.h>
#include <iostream>
#include "constants.h"
__global__ void sim_kernel(double *pos, double *vel, double *acc, double *mas){
cooperative_groups::grid_group g = cooperative_groups::this_gr... | f9009ba0f388ea7454fd9a980f8ae137e472aff9.cu | #include <cooperative_groups.h>
#include <iostream>
#include "constants.h"
__global__ void sim_kernel(double *pos, double *vel, double *acc, double *mas){
cooperative_groups::grid_group g = cooperative_groups::this_grid();
int particle_id = blockIdx.x *blockDim.x + threadIdx.x;
for (int t = 0; t < CUDA_... |
801a054fb583523bfff2fdc6b42aa188bfb4f052.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "common.h"
void checkCUDAErrorFn(const char *msg, const char *file, int line) {
hipError_t err = hipGetLastError();
if (hipSuccess == err) {
return;
}
fprintf(stderr, "CUDA error");
if (file) {... | 801a054fb583523bfff2fdc6b42aa188bfb4f052.cu | #include "common.h"
void checkCUDAErrorFn(const char *msg, const char *file, int line) {
cudaError_t err = cudaGetLastError();
if (cudaSuccess == err) {
return;
}
fprintf(stderr, "CUDA error");
if (file) {
fprintf(stderr, " (%s:%d)", file, line);
}
fprintf(stderr, ": %s: %s... |
a7f90a66babbb70ee4a7893e5dab5e07cea126db.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void blend(float *cmap, float* oldd, float* newd, float weight,int * params)
{
int ax = blockIdx.x*blockDim.x + threadIdx.x;
int ay = blockIdx.y*blockDim.y + threadIdx.y;
int ch = params[0];
int ah ... | a7f90a66babbb70ee4a7893e5dab5e07cea126db.cu | #include "includes.h"
__global__ void blend(float *cmap, float* oldd, float* newd, float weight,int * params)
{
int ax = blockIdx.x*blockDim.x + threadIdx.x;
int ay = blockIdx.y*blockDim.y + threadIdx.y;
int ch = params[0];
int ah = params[1];
int aw = params[2];
int slice_a = ah * aw;
int pitch_a = aw;
float thre =... |
797bacd228ae744257fbe56a031c3eda95ab131d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Modified from
// https://github.com/sshaoshuai/Pointnet2.PyTorch/tree/master/pointnet2/src/sampling_gpu.cu
#include <stdio.h>
#include <stdlib.h>
#define TOTAL_THREADS 1024
#define THREADS_PER_BLOCK 256
#define DIVUP(m, n) ((m)... | 797bacd228ae744257fbe56a031c3eda95ab131d.cu | // Modified from
// https://github.com/sshaoshuai/Pointnet2.PyTorch/tree/master/pointnet2/src/sampling_gpu.cu
#include <stdio.h>
#include <stdlib.h>
#define TOTAL_THREADS 1024
#define THREADS_PER_BLOCK 256
#define DIVUP(m, n) ((m) / (n) + ((m) % (n) > 0))
inline int opt_n_threads(int work_size) {
const int pow_2 =... |
3f33916a0a6f05b55d9109b1b1bf0d933fb590ac.hip | // !!! This is a file automatically generated by hipify!!!
#include <hiprand/hiprand.h>
#include <cstdio>
#include <iostream>
#include <hip/hip_runtime.h>
#include "n_body_sim_cuda.cuh"
// macro for error-handling
#define gpuErrChk(ans) { gpuAssert((ans), (char*)__FILE__, __LINE__); }
inline void gpuAssert(hipError_... | 3f33916a0a6f05b55d9109b1b1bf0d933fb590ac.cu | #include <curand.h>
#include <cstdio>
#include <iostream>
#include <cuda_runtime.h>
#include "n_body_sim_cuda.cuh"
// macro for error-handling
#define gpuErrChk(ans) { gpuAssert((ans), (char*)__FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, char* file, int line, bool abort=true)
{
if (code != cudaSuc... |
14dbed1f2c092a9ed84b4c59734f22054d7dcbc8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <unistd.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <fcntl.h>
#include <stdlib.h>
#include <iostream>
#include "lodepng.h"
using namespace std;
__global__
void PictureKernell(unsigned char* ... | 14dbed1f2c092a9ed84b4c59734f22054d7dcbc8.cu | #include <stdio.h>
#include <unistd.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <fcntl.h>
#include <stdlib.h>
#include <iostream>
#include "lodepng.h"
using namespace std;
__global__
void PictureKernell(unsigned char* d_Pin, unsigned char* d_Pout, int n, int m){
int y = blockIdx.y * blockDim.y + threadI... |
0712e4b3431b558d9b891ee497af4f5c59507ad0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define __MAKEMORE_MEGATRON_CU__ 1
#include <stdio.h>
#include <math.h>
#include <vector>
#include <map>
#include "cudamem.hh"
#include "megatron.hh"
#include "mapfile.hh"
namespace makemore {
double adam_b1 = 0.9;
double adam... | 0712e4b3431b558d9b891ee497af4f5c59507ad0.cu | #define __MAKEMORE_MEGATRON_CU__ 1
#include <stdio.h>
#include <math.h>
#include <vector>
#include <map>
#include "cudamem.hh"
#include "megatron.hh"
#include "mapfile.hh"
namespace makemore {
double adam_b1 = 0.9;
double adam_b2 = 0.999;
double adam_b3 = 0.5;
double adam_eps = 1e-8;
__global__ void gpu_megatro... |
60f34018bab0a4a5afab5cdaa1d42d7efbdffb5b.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <intrin.h>
#include <ctime>
#pragma comment(lib, "cudart")
using namespace std;
#define MATRIX_SIZE 1024
#define BlockSize 32
// CUDA ke... | 60f34018bab0a4a5afab5cdaa1d42d7efbdffb5b.cu | #include <iostream>
#include <cuda_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <intrin.h>
#include <ctime>
#pragma comment(lib, "cudart")
using namespace std;
#define MATRIX_SIZE 1024
#define BlockSize 32
// CUDA kernel: cubes each array value
void matrixMultiplicationWithCud... |
c210fadc57f0e033b444ad68ede5c819139d1003.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdint.h>
#include <stdio.h>
#define uint uint32_t
#define WST 8
#define WSU 8
#define WSV 8
#define WS (WST*WSU*WSV)
#define CELL_LENGTH 4
#define CELL_SIZE (CELL_LENGTH*CELL_LENGTH*CELL_LENGTH)
#define BLOCK_SIZE (WS*... | c210fadc57f0e033b444ad68ede5c819139d1003.cu | #include <stdint.h>
#include <stdio.h>
#define uint uint32_t
#define WST 8
#define WSU 8
#define WSV 8
#define WS (WST*WSU*WSV)
#define CELL_LENGTH 4
#define CELL_SIZE (CELL_LENGTH*CELL_LENGTH*CELL_LENGTH)
#define BLOCK_SIZE (WS*CELL_SIZE)
#define WLT (WST*CELL_LENGTH)
#define WLU (WSU*CELL_LENGTH)
#define WLV (WSV*... |
5d13d78e29fbed4f49adf871680d8259891b73a0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/operators/elementwise_ops.h"
#include <hipcub/hipcub.hpp>
#include <hipcub/hipcub.hpp>
#include <hipcub/hipcub.hpp>
#include "caffe2/core/common_gpu.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/utils/c... | 5d13d78e29fbed4f49adf871680d8259891b73a0.cu | #include "caffe2/operators/elementwise_ops.h"
#include <cub/block/block_load.cuh>
#include <cub/block/block_reduce.cuh>
#include <cub/device/device_reduce.cuh>
#include "caffe2/core/common_gpu.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/utils/conversions.h"
namespace caffe2 {
REGISTER_CUDA_OPERATOR(
... |
310f99e5b04a706f59179c3139147da15342d6ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef _FILTER_KERNEL_H_
#define _FILTER_KERNEL_H_
__global__ void SobelFilter(unsigned char* g_DataIn, unsigned char* g_DataOut, int width, int height)
{
__shared__ unsigned char sharedMem[BLOCK_HEIGHT * BLOCK_WIDTH];
flo... | 310f99e5b04a706f59179c3139147da15342d6ef.cu |
#ifndef _FILTER_KERNEL_H_
#define _FILTER_KERNEL_H_
__global__ void SobelFilter(unsigned char* g_DataIn, unsigned char* g_DataOut, int width, int height)
{
__shared__ unsigned char sharedMem[BLOCK_HEIGHT * BLOCK_WIDTH];
float s_SobelMatrix[9];
s_SobelMatrix[0] = -1;
s_SobelMatrix[1] = 0;
s_SobelMa... |
8226305b1175a6957de27c6c867b5d7aa70fdcee.hip | // !!! This is a file automatically generated by hipify!!!
/* ==================================================================
Programmer: Daniel Sawyer (danielsawyer@mail.usf.edu)
The basic SDH algorithm implementation for 3D data
To compile: nvcc proj2-danielsawyer.cu -o SDH in the rc machines
===============... | 8226305b1175a6957de27c6c867b5d7aa70fdcee.cu | /* ==================================================================
Programmer: Daniel Sawyer (danielsawyer@mail.usf.edu)
The basic SDH algorithm implementation for 3D data
To compile: nvcc proj2-danielsawyer.cu -o SDH in the rc machines
==================================================================
*/
#in... |
a8c9bf017d5c67eb2d8f7fdce201c678f5b7280e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
#include <stdlib.h>
#include <time.h>
clock_t sum_time = 0;
__global__ void kernel(int *or_mat, int * to){
__sh... | a8c9bf017d5c67eb2d8f7fdce201c678f5b7280e.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <stdlib.h>
#include <time.h>
clock_t sum_time = 0;
__global__ void kernel(int *or_mat, int * to){
__shared__ int mat[16][16];
int bx = blockIdx.x * 16;
int by = blockIdx.y * 16... |
5ca2b3d3b5dd5b457954f8359ed6ddb1948bb60d.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <thrust/device_vector.h>
#include <thrust/scan.h>
#include <hip/hip_runtime.h>
#include "device_launch_parameters.h"
#include "helper_cuda.h"
template <typename T, typename C>
__global__
void sub(T* output, const C* starter, const ... | 5ca2b3d3b5dd5b457954f8359ed6ddb1948bb60d.cu | #include <iostream>
#include <thrust/device_vector.h>
#include <thrust/scan.h>
#include <cuda_runtime.h>
#include "device_launch_parameters.h"
#include "helper_cuda.h"
template <typename T, typename C>
__global__
void sub(T* output, const C* starter, const C* stopper, int64_t startsoffset, int64_t stopsoffset, int64_t... |
c31bfa261bea35d92a31fa26071bee8f81e41f8c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* ENGR-E 517 High Performance Computing
* Original Author : Matt Anderson (Serial Implementation 2D)
* Name : Ninaad Joshi (Serial and Parallel Implementation 1D)
* Project : Demonstration of the 2D Heat Distribution
* Prob... | c31bfa261bea35d92a31fa26071bee8f81e41f8c.cu | /* ENGR-E 517 High Performance Computing
* Original Author : Matt Anderson (Serial Implementation 2D)
* Name : Ninaad Joshi (Serial and Parallel Implementation 1D)
* Project : Demonstration of the 2D Heat Distribution
* Problem using CUDA programming model
*/
#include <stdio.h>
#include <stdlib.h>
#include <mat... |
1d448a5b0a9b5012335bed5caf40515f114b585b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#define GRID_SIZE 8
#define BLOCK_SIZE 24
hipError_t addWithCuda(int *c, const int *a, const int *b, size_t size);
__global__ void addKernel(int *c, const int *a, const i... | 1d448a5b0a9b5012335bed5caf40515f114b585b.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#define GRID_SIZE 8
#define BLOCK_SIZE 24
cudaError_t addWithCuda(int *c, const int *a, const int *b, size_t size);
__global__ void addKernel(int *c, const int *a, const int *b)
{
int i = threadIdx.x;
c[i] = a[i] + b[i];
}
... |
6d442b045abf7220475ddbe1d63de00943050671.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Given a list (lst) of length n
// Output its sum = lst[0] + lst[1] + ... + lst[n-1];
#include <wb.h>
#define BLOCK_SIZE 512 //@@ You can change this
#define wbCheck(stmt) \
... | 6d442b045abf7220475ddbe1d63de00943050671.cu | // Given a list (lst) of length n
// Output its sum = lst[0] + lst[1] + ... + lst[n-1];
#include <wb.h>
#define BLOCK_SIZE 512 //@@ You can change this
#define wbCheck(stmt) \
do { \
cudaError... |
f095e2df46b3841cd36902d51cccb1c85e878f27.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "utils.h"
#include <iostream>
using namespace std;
#define BLOCK_DIM 16
// create the index of a diagonal matrix
__global__ void diagCsrIndsKernel(const int numRows, int *inds) {
unsigned int idx = threadIdx.x + blockIdx... | f095e2df46b3841cd36902d51cccb1c85e878f27.cu | #include "utils.h"
#include <iostream>
using namespace std;
#define BLOCK_DIM 16
// create the index of a diagonal matrix
__global__ void diagCsrIndsKernel(const int numRows, int *inds) {
unsigned int idx = threadIdx.x + blockIdx.x*blockDim.x;
if (idx <= numRows) {
inds[idx] = idx;
}
}
void createDiagXcsrInds(i... |
ff37fba184216fe59dac676ccd1b8beeab19ac42.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <fstream>
#include <stdio.h>
#include <iostream>
#define H2D hipMemcpyHostToDevice
#define D2H hipMemcpyDeviceToHost
#define OK hipSuccess
using namespace std;
typedef uint32_t uint;
typedef unsigned char BYTE;
//CPU
uin... | ff37fba184216fe59dac676ccd1b8beeab19ac42.cu | #include <fstream>
#include <stdio.h>
#include <iostream>
#define H2D cudaMemcpyHostToDevice
#define D2H cudaMemcpyDeviceToHost
#define OK cudaSuccess
using namespace std;
typedef uint32_t uint;
typedef unsigned char BYTE;
//CPU
uint i = 0, ind = 0;
const uint N = 8E3;
//GPU
__global__ void emptyKernel( BYTE *d_in ... |
37b95292f2aeb0f4f0d4432d7e8f702ad1fb8640.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdlib>
#include <cmath>
#include <dlib/image_transforms.h>
#include "textify.h"
#include "cuda_helpers.h"
static __global__ void gpu_gaussian_blur_h(
textify::gpu_image src,
textify::gpu_image dst,
... | 37b95292f2aeb0f4f0d4432d7e8f702ad1fb8640.cu | #include <cstdlib>
#include <cmath>
#include <dlib/image_transforms.h>
#include "textify.h"
#include "cuda_helpers.h"
static __global__ void gpu_gaussian_blur_h(
textify::gpu_image src,
textify::gpu_image dst,
textify::gpu_gaussian_filter gpu_filter
) {
int x = blockIdx.x * blockDim.x + t... |
62ee075a6bd0d273059da9028f64d07be6da4bb8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel5_plus_4_right;
int xdim0_update_halo_kernel5_plus_4_right_h = -1;
__constant__ int ydim0_update_halo_kernel5_plus_4_right;
int ydim0_update_halo_kernel5_plu... | 62ee075a6bd0d273059da9028f64d07be6da4bb8.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel5_plus_4_right;
int xdim0_update_halo_kernel5_plus_4_right_h = -1;
__constant__ int ydim0_update_halo_kernel5_plus_4_right;
int ydim0_update_halo_kernel5_plus_4_right_h = -1;
__constant__ int xdim1_update_halo_kernel5_plus_4_right;
int xdim1_upd... |
698281fce426be7608004cb8b0e2d22f818f3689.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 -> s d c
@author Mark Gates
... | 698281fce426be7608004cb8b0e2d22f818f3689.cu | /*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@precisions normal z -> s d c
@author Mark Gates
*/
#include "magma_internal.h"
#define BLK_X 64
#define BLK_Y 32
/*
Divides matrix... |
3675da7d335c08c2e4ba569e5408720c11dfd79c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 2017 Stanford, NVIDIA
*
* 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:/... | 3675da7d335c08c2e4ba569e5408720c11dfd79c.cu | /* Copyright 2017 Stanford, NVIDIA
*
* 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 t... |
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