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
58 lines
1.4 KiB
Plaintext
58 lines
1.4 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.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/**
|
|
* @file
|
|
*
|
|
* @brief Illustrate how to use the void data interface
|
|
*
|
|
*/
|
|
|
|
#include <cuda/experimental/stf.cuh>
|
|
|
|
using namespace cuda::experimental::stf;
|
|
|
|
__global__ void dummy_kernel() {}
|
|
|
|
int main()
|
|
{
|
|
context ctx;
|
|
|
|
auto token = ctx.token();
|
|
ctx.task(token.write())->*[](cudaStream_t) {
|
|
|
|
};
|
|
|
|
void_interface sync;
|
|
auto token2 = ctx.logical_data(sync);
|
|
|
|
auto token3 = ctx.token();
|
|
ctx.task(token2.write(), token.read())->*[](cudaStream_t) {
|
|
|
|
};
|
|
|
|
// Do not pass useless arguments by removing void_interface arguments
|
|
// Note that the rw() access is possible even if there was no prior write()
|
|
// or actual underlying data.
|
|
ctx.task(token3.rw(), token.read())->*[](cudaStream_t) {
|
|
|
|
};
|
|
|
|
ctx.cuda_kernel(token3.rw())->*[]() {
|
|
return cuda_kernel_desc{dummy_kernel, 16, 128, 0};
|
|
};
|
|
|
|
EXPECT(token.is_void_interface());
|
|
EXPECT(token2.is_void_interface());
|
|
EXPECT(token3.is_void_interface());
|
|
|
|
ctx.finalize();
|
|
}
|