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
62 lines
1.1 KiB
C++
62 lines
1.1 KiB
C++
#pragma once
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#include <iostream>
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#include <sstream>
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#include <string>
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#include <utility>
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namespace unittest
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{
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class UnitTestException
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{
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public:
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std::string message;
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UnitTestException() = default;
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UnitTestException(std::string msg)
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: message(std::move(msg))
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{}
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friend std::ostream& operator<<(std::ostream& os, const UnitTestException& e)
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{
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return os << e.message;
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}
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template <typename T>
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UnitTestException& operator<<(const T& t)
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{
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std::ostringstream oss;
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oss << t;
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message += oss.str();
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return *this;
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}
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};
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class UnitTestError : public UnitTestException
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{
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public:
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UnitTestError() = default;
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UnitTestError(const std::string& msg)
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: UnitTestException(msg)
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{}
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};
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class UnitTestFailure : public UnitTestException
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{
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public:
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UnitTestFailure() = default;
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UnitTestFailure(const std::string& msg)
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: UnitTestException(msg)
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{}
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};
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class UnitTestKnownFailure : public UnitTestException
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{
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public:
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UnitTestKnownFailure() = default;
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UnitTestKnownFailure(const std::string& msg)
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: UnitTestException(msg)
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{}
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};
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} // end namespace unittest
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