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
61 lines
1.6 KiB
Plaintext
61 lines
1.6 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) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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//! \file
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//!
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//! \brief Test ctx.wait() on a token: a blocking, value-less synchronization
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#include <cuda/experimental/stf.cuh>
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#include <type_traits>
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using namespace cuda::experimental::stf;
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__global__ void set_value(int* p, int v)
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{
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*p = v;
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}
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template <typename context_t>
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void run()
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{
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context_t ctx;
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// Externally owned buffer: STF only schedules around it, it never owns it.
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int* d_val = nullptr;
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cuda_safe_call(cudaMalloc(&d_val, sizeof(int)));
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auto tok = ctx.token();
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ctx.task(tok.write())->*[=](cudaStream_t s) {
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set_value<<<1, 1, 0, s>>>(d_val, 42);
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};
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// wait(token) has no value to materialize: it must return void and only
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// block the host until the token's producing work has completed.
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static_assert(::std::is_void_v<decltype(ctx.wait(tok))>, "wait(token) must return void");
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ctx.wait(tok);
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int h_val = 0;
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cuda_safe_call(cudaMemcpy(&h_val, d_val, sizeof(int), cudaMemcpyDeviceToHost));
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_CCCL_ASSERT(h_val == 42, "wait(token) did not synchronize the producing task");
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ctx.finalize();
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cuda_safe_call(cudaFree(d_val));
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}
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int main()
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{
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run<stream_ctx>();
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run<graph_ctx>();
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run<context>();
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run<stackable_ctx>();
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}
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