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
95 lines
3.1 KiB
Plaintext
95 lines
3.1 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental 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) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <cuda/experimental/execution.cuh>
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#include "common/checked_receiver.cuh" // IWYU pragma: keep
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#include "common/dummy_scheduler.cuh" // IWYU pragma: keep
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#include "common/error_scheduler.cuh" // IWYU pragma: keep
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#include "common/stopped_scheduler.cuh" // IWYU pragma: keep
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#include "common/utility.cuh" // IWYU pragma: keep
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namespace ex = cuda::experimental::execution;
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namespace
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{
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C2H_TEST("simple task_scheduler test", "[scheduler][task_scheduler]")
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{
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ex::task_scheduler sched{dummy_scheduler{}};
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STATIC_CHECK(ex::scheduler<decltype(sched)>);
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auto sndr = sched.schedule();
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STATIC_CHECK(ex::sender<decltype(sndr)>);
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auto op = ex::connect(cuda::std::move(sndr), checked_value_receiver{});
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ex::start(op);
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// The receiver checks that it's called
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}
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C2H_TEST("task_scheduler starts work on the correct execution context", "[scheduler][task_scheduler]")
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{
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ex::thread_context ctx;
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ex::task_scheduler sched{ctx.get_scheduler()};
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auto sndr = ex::starts_on(sched, ex::just() | ex::then([] {
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return ::std::this_thread::get_id();
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}));
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auto [tid] = ex::sync_wait(cuda::std::move(sndr)).value();
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CHECK(tid == ctx.get_id());
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}
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#if !_CCCL_HOST_COMPILATION()
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static __device__ bool g_called = false;
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#else
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static bool g_called = false;
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#endif
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template <class Sndr>
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struct protect : private Sndr
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{
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using sender_concept = ex::sender_t;
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_CCCL_HOST_DEVICE_API explicit protect(Sndr sndr)
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: Sndr{cuda::std::move(sndr)}
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{}
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using Sndr::connect;
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using Sndr::get_completion_signatures;
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using Sndr::get_env;
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};
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struct test_domain
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{
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_CCCL_TEMPLATE(class Sndr, class Env)
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_CCCL_REQUIRES(ex::sender_for<Sndr, ex::bulk_chunked_t>)
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_CCCL_HOST_DEVICE_API auto transform_sender(ex::set_value_t, Sndr sndr, const Env&) const
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{
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return ex::then(protect{cuda::std::move(sndr)}, []() noexcept {
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g_called = true;
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});
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}
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};
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C2H_TEST("bulk_unchunked dispatches correctly through task_scheduler", "[scheduler][task_scheduler]")
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{
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ex::task_scheduler sched{dummy_scheduler<test_domain>{}};
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auto sndr = ex::on(sched, ex::just(-1) | ex::bulk_chunked(ex::par_unseq, 100, [](int, int, int&) {}));
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g_called = false;
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auto [val] = ex::sync_wait(cuda::std::move(sndr)).value();
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CHECK(val == -1);
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CHECK(g_called);
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}
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C2H_TEST("bulk dispatches correctly through task_scheduler", "[scheduler][task_scheduler]")
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{
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ex::task_scheduler sched{dummy_scheduler<test_domain>{}};
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auto sndr = ex::on(sched, ex::just(-1) | ex::bulk(ex::par_unseq, 100, [](int, int&) {}));
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g_called = false;
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auto [val] = ex::sync_wait(cuda::std::move(sndr)).value();
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CHECK(val == -1);
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CHECK(g_called);
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}
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} // namespace
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