56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
54 lines
2.2 KiB
Plaintext
54 lines
2.2 KiB
Plaintext
//===----------------------------------------------------------------------===//
|
|
//
|
|
// Part of CUDASTF in CUDA C++ Core Libraries,
|
|
// under the Apache License v2.0 with LLVM Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
// SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include <cuda/experimental/__places/place_partition.cuh>
|
|
#include <cuda/experimental/__stf/internal/stf_places_partition_into_stf.cuh>
|
|
#include <cuda/experimental/stf.cuh>
|
|
|
|
using namespace cuda::experimental::stf;
|
|
|
|
void print_partition(async_resources_handle& handle, exec_place place, place_partition_scope scope)
|
|
{
|
|
fprintf(stderr, "-----------\n");
|
|
fprintf(
|
|
stderr, "PARTITION %s (scope: %s):\n", place.to_string().c_str(), place_partition_scope_to_string(scope).c_str());
|
|
for (auto sub_place : place_partition(place, handle, scope))
|
|
{
|
|
fprintf(stderr, "[%s] subplace: %s\n", place.to_string().c_str(), sub_place.to_string().c_str());
|
|
}
|
|
|
|
fprintf(stderr, "-----------\n");
|
|
}
|
|
|
|
int main()
|
|
{
|
|
#if _CCCL_CTK_BELOW(12, 4)
|
|
fprintf(stderr, "Green contexts are not supported by this version of CUDA: skipping test.\n");
|
|
return 0;
|
|
#else // ^^^ _CCCL_CTK_BELOW(12, 4) ^^^ / vvv _CCCL_CTK_AT_LEAST(12, 4) vvv
|
|
async_resources_handle handle;
|
|
|
|
print_partition(handle, exec_place::all_devices(), place_partition_scope::cuda_device);
|
|
|
|
print_partition(handle, exec_place::all_devices(), place_partition_scope::cuda_stream);
|
|
|
|
print_partition(handle, exec_place::current_device(), place_partition_scope::cuda_stream);
|
|
|
|
print_partition(handle, exec_place::current_device(), place_partition_scope::green_context);
|
|
print_partition(handle, exec_place::current_device(), place_partition_scope::green_context);
|
|
|
|
print_partition(handle, exec_place::repeat(exec_place::current_device(), 4), place_partition_scope::green_context);
|
|
|
|
print_partition(handle, exec_place::current_device(), place_partition_scope::cuda_device);
|
|
|
|
print_partition(handle, exec_place::repeat(exec_place::current_device(), 4), place_partition_scope::cuda_stream);
|
|
#endif // ^^^ _CCCL_CTK_AT_LEAST(12, 4) ^^^
|
|
}
|