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
1.5 KiB
Plaintext
58 lines
1.5 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDASTF in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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//! @file
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//! @brief Add tasks to a user-provided graph
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#include <cuda/experimental/__stf/graph/graph_ctx.cuh>
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using namespace cuda::experimental::stf;
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__global__ void dummy() {}
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int main()
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{
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cudaGraph_t graph;
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cudaGraphExec_t graphExec = NULL;
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cudaStream_t stream;
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cuda_safe_call(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
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cuda_safe_call(cudaGraphCreate(&graph, 0));
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graph_ctx ctx(graph);
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auto lX = ctx.token();
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auto lY = ctx.token();
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auto lZ = ctx.token();
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ctx.task(lX.write())->*[](cudaStream_t s) {
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dummy<<<1, 1, 0, s>>>();
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};
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ctx.task(lX.read(), lY.write())->*[](cudaStream_t s) {
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dummy<<<1, 1, 0, s>>>();
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};
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ctx.task(lX.read(), lZ.write())->*[](cudaStream_t s) {
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dummy<<<1, 1, 0, s>>>();
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};
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ctx.task(lY.rw(), lZ.rw())->*[](cudaStream_t s) {
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dummy<<<1, 1, 0, s>>>();
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};
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ctx.finalize_as_graph();
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cuda_safe_call(cudaGraphInstantiate(&graphExec, graph, NULL, NULL, 0));
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cuda_safe_call(cudaGraphLaunch(graphExec, stream));
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cuda_safe_call(cudaStreamSynchronize(stream));
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}
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