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
32 lines
1.1 KiB
Plaintext
32 lines
1.1 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) 2025 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"
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#include "testing.cuh" // IWYU pragma: keep
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namespace
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{
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struct my_domain
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{};
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C2H_TEST("basic test of write_attrs", "[write_attrs]")
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{
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auto sndr = cudax_async::just(42) | cudax_async::write_attrs(cudax_async::prop{cudax_async::get_domain, my_domain{}});
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[[maybe_unused]] auto domain = cudax_async::get_domain(cudax_async::get_env(sndr));
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STATIC_REQUIRE(std::is_same_v<decltype(domain), my_domain>);
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// Check that the sender can be connected and started
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auto op = cudax_async::connect(std::move(sndr), checked_value_receiver{42});
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cudax_async::start(op);
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}
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} // namespace
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