repo_name stringclasses 10
values | file_path stringlengths 29 222 | content stringlengths 24 926k | extention stringclasses 5
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|---|---|---|---|
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/src/multiple_reductions_buffers.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/src/sum_subgroup_reduce.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t B... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/src/sum_workgroup_reduce.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/src/sum_reduction_buffers.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/src/reduction_lab.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/reduction_custom_operator.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#include <time.h>
using namespace sycl;
static constexpr size_t N = 256; // global size
static ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_single_task.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
int main() {
//# setup... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_reduction_usm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_work_group.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t B... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/multiple_reductions_buffers.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_subgroup_reduce.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t B... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_workgroup_reduce.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/sum_reduction_buffers.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/08_SYCL_Reduction/lab/reduction_lab.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
using namespace sycl;
static constexpr size_t N = 1024; // global size
static constexpr size_t ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/02_Thread_Mapping_and_Occupancy/src/gpu_support.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
//# Query for device information
auto device_name = q.get_... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/02_Thread_Mapping_and_Occupancy/src/vec_add.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#define N 13762560
template <int groups, int wg_size, int sg_size>
int VectorAdd(sycl::queue &q... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/02_Thread_Mapping_and_Occupancy/lab/gpu_support.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
//# Query for device information
auto device_name = q.get_... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/02_Thread_Mapping_and_Occupancy/lab/vec_add.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#define N 13762560
template <int groups, int wg_size, int sg_size>
int VectorAdd(sycl::queue &q... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/15_Implicit_Explicit_Scaling/src/sub_device.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main(){
sycl::queue q;
sycl::device RootDevice = q.get_device();
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/15_Implicit_Explicit_Scaling/src/vectoradd_explicit_scaling.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <CL/sycl.hpp>
#include <algorithm>
#include <cassert>
#include <cfloat>
#include <iostream>
#include <string>
nam... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/15_Implicit_Explicit_Scaling/lab/sub_device.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main(){
sycl::queue q;
sycl::device RootDevice = q.get_device();
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/15_Implicit_Explicit_Scaling/lab/vectoradd_explicit_scaling.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <CL/sycl.hpp>
#include <algorithm>
#include <cassert>
#include <cfloat>
#include <iostream>
#include <string>
nam... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_sg.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_sycl.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_atomics.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction-tree-vectorize.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_sycl_blocks.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_sg.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_sycl.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_atomics.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction-tree-vectorize.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_sycl_blocks.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = (1000 * 1024 * 1024);
int main(int argc, char *argv[]) {
sycl::queue q{... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_1.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_2.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_max_size.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 15;
int main() {
sycl::queue q;
std::cout << "Device: " << q.get_device()... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_0.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_size.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
std::cout << "Device: " << q.get_device().get_info<sycl::info::d... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_shuffle.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#include <iomanip>
constexpr size_t N = 16;
int main() {
sycl::queue q{sycl::property::queue:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_1.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_2.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_max_size.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 15;
int main() {
sycl::queue q;
std::cout << "Device: " << q.get_device()... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_0.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_size.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
std::cout << "Device: " << q.get_device().get_info<sycl::info::d... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_shuffle.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#include <iomanip>
constexpr size_t N = 16;
int main() {
sycl::queue q{sycl::property::queue:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/histogram_256_int.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 4096 * 4096;
std::vector<unsigned long> input(N);
srand(20... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/slm_bank.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/histogram_256_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 4096 * 4096;
std::vector<unsigned long> input(N);
srand(20... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/histogram_256_int.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 4096 * 4096;
std::vector<unsigned long> input(N);
srand(20... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/slm_bank.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/histogram_256_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 4096 * 4096;
std::vector<unsigned long> input(N);
srand(20... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_slm.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/src/kernel_launch.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000000;
int main() {
sycl::queue q;
auto start = std::chrono::h... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/src/kernel_profiling.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000000;
int main() {
sycl::queue q{sycl::property::queue::enable_profi... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/src/kernel_multiple_queues.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024;
#define iter 1000
int VectorAdd(sycl::queue &q1, sycl::queue &q2, sycl:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/src/kernel_redundant_queue.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000;
constexpr int ITER = 1000;
int main() {
std::vector<int> data(N)... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/src/kernel_multiple.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Array type and data size for this example.
constexpr size_t array_size = (1 << 15);
typedef ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/lab/kernel_launch.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000000;
int main() {
sycl::queue q;
auto start = std::chrono::h... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/lab/kernel_profiling.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000000;
int main() {
sycl::queue q{sycl::property::queue::enable_profi... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/lab/kernel_multiple_queues.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024;
#define iter 1000
int VectorAdd(sycl::queue &q1, sycl::queue &q2, sycl:... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/lab/kernel_redundant_queue.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000;
constexpr int ITER = 1000;
int main() {
std::vector<int> data(N)... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/04_Kernel_Submission/lab/kernel_multiple.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Array type and data size for this example.
constexpr size_t array_size = (1 << 15);
typedef ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/src/atomics_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 1024 * 1000 * 1000;
constexpr int M = 256;
int sum = 0;
i... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/src/atomics_data_type.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = 1024 * 100;
int reductionInt(sycl::queue &q, std::vector<int> &data) {
c... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/src/atomics_local.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 1024 * 1000 * 1000;
constexpr int M = 256;
int sum = 0;
i... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/lab/atomics_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 1024 * 1000 * 1000;
constexpr int M = 256;
int sum = 0;
i... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/lab/atomics_data_type.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr size_t N = 1024 * 100;
int reductionInt(sycl::queue &q, std::vector<int> &data) {
c... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/08_Atomic_Operations/lab/atomics_local.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 1024 * 1000 * 1000;
constexpr int M = 256;
int sum = 0;
i... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/01_Introduction_to_GPU_Optimization/lab/hello.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main(){
// Create SYCL queue
sycl::queue q;
std::cout << "Device: " << q.get_device().... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/wg_vec_copy.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Copy of 32M 'one' values
constexpr size_t N = (32 * 1024 * 1024);
// Number of repetitions
c... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals_minmax.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/wg_reduction.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Summation of 10M 'one' values
constexpr size_t N = (10 * 1024 * 1024);
// Number of repetiti... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
sycl::queue q{sy... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/wg_vec_copy.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Copy of 32M 'one' values
constexpr size_t N = (32 * 1024 * 1024);
// Number of repetitions
c... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals_minmax.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
std::vector<int>... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/wg_reduction.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
// Summation of 10M 'one' values
constexpr size_t N = (10 * 1024 * 1024);
// Number of repetiti... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr size_t N = 8192 * 8192;
constexpr size_t M = 257;
sycl::queue q{sy... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/usm_device.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
std::cout << "Device : " << q.get_device().get_info<sycl::info::... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_mem_move_1.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 1024*1000*1000;
std::vector<int> a(num_items);
for... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/usm_memcpy.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device ... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_mem_move_2.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 1024*1000*1000;
std::vector<int> a(num_items);
for... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_loop.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#include <chrono>
constexpr int N = 16;
constexpr int STEPS = 10000;
int main() {
std::vect... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffers.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int N = 16;
std::vector<int> host_data(N, 10);
sycl::queue q;
s... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_host_ptr.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 16;
constexpr int iter = 1;
std::vector<int> a(nu... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_mem_move_0.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 1024*1000*1000;
std::vector<int> a(num_items);
for... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_access_modes.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
constexpr int N = 1024000000;
int main() {
std::vector<int> a(N, 1);
std::vector<int> b(N... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/usm_copy_partial.cpp | //==============================================================
// Copyright © 2020 Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
static constexpr size_t N = 102400000; // global size
int main() {
auto start = std::chr... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/usm_overlap_copy.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
#define NITERS 10
#define KERNEL_ITERS 10000
#define NUM_CHUNKS 10
#define CHUNK_SIZE 10000000
... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/usm_shared.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
std::cout << "Device : " << q.get_device().get_info<sycl::info::... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/buffer_mem_move_3.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 1024*1000*1000;
std::vector<int> a(num_items);
for... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/src/align.hpp | #ifndef __ALIGN
#define __ALIGN 1
enum class Alignment : size_t {
Normal = sizeof(void *),
SSE = 16,
AVX = 32,
PAGE = 4096,
};
namespace detail {
void *allocate_aligned_memory(size_t align, size_t size);
void deallocate_aligned_memory(void *ptr) noexcept;
} // namespace detail
template <typename T, Alignment... | hpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/lab/usm_device.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q;
std::cout << "Device : " << q.get_device().get_info<sycl::info::... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/lab/buffer_mem_move_1.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
constexpr int num_items = 1024*1000*1000;
std::vector<int> a(num_items);
for... | cpp |
oneAPI-samples | data/projects/oneAPI-samples/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/03_Memory_Optimization/lab/usm_memcpy.cpp | //==============================================================
// Copyright © Intel Corporation
//
// SPDX-License-Identifier: MIT
// =============================================================
#include <sycl/sycl.hpp>
int main() {
sycl::queue q{sycl::property::queue::enable_profiling{}};
std::cout << "Device ... | cpp |
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