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
40 lines
1.1 KiB
Plaintext
40 lines
1.1 KiB
Plaintext
// SPDX-FileCopyrightText: Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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// SPDX-License-Identifier: BSD-3-Clause
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#include <sstream>
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#include "test_util.h"
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#include <c2h/catch2_test_helper.h>
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template <typename T>
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std::string print(T val)
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{
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std::stringstream ss;
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ss << val;
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return ss.str();
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}
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#if TEST_INT128()
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TEST_CASE("Test utils can print __int128", "[test][utils]")
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{
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REQUIRE(print(__int128_t{0}) == "0");
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REQUIRE(print(__int128_t{42}) == "42");
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REQUIRE(print(__int128_t{-1}) == "-1");
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REQUIRE(print(__int128_t{-42}) == "-42");
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REQUIRE(print(-1 * (__int128_t{1} << 120)) == "-1329227995784915872903807060280344576");
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}
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TEST_CASE("Test utils can print __uint128", "[test][utils]")
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{
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REQUIRE(print(__uint128_t{0}) == "0");
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REQUIRE(print(__uint128_t{1}) == "1");
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REQUIRE(print(__uint128_t{42}) == "42");
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REQUIRE(print(__uint128_t{1} << 120) == "1329227995784915872903807060280344576");
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}
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#endif
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TEST_CASE("Test utils can print KeyValuePair", "[test][utils]")
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{
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REQUIRE(print(cub::KeyValuePair<int, int>{42, -42}) == "(42,-42)");
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}
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