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
47 lines
976 B
Plaintext
47 lines
976 B
Plaintext
#include <unittest/unittest.h>
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void TestAssertEqual()
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{
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ASSERT_EQUAL(0, 0);
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ASSERT_EQUAL(1, 1);
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ASSERT_EQUAL(-15.0f, -15.0f);
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}
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DECLARE_UNITTEST(TestAssertEqual);
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void TestAssertLEqual()
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{
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ASSERT_LEQUAL(0, 1);
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ASSERT_LEQUAL(0, 0);
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}
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DECLARE_UNITTEST(TestAssertLEqual);
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void TestAssertGEqual()
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{
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ASSERT_GEQUAL(1, 0);
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ASSERT_GEQUAL(0, 0);
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}
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DECLARE_UNITTEST(TestAssertGEqual);
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void TestAssertLess()
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{
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ASSERT_LESS(0, 1);
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}
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DECLARE_UNITTEST(TestAssertLess);
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void TestAssertGreater()
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{
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ASSERT_GREATER(1, 0);
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}
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DECLARE_UNITTEST(TestAssertGreater);
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void TestTypeName()
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{
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ASSERT_EQUAL(unittest::type_name<char>(), "char");
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ASSERT_EQUAL(unittest::type_name<signed char>(), "signed char");
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ASSERT_EQUAL(unittest::type_name<unsigned char>(), "unsigned char");
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ASSERT_EQUAL(unittest::type_name<int>(), "int");
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ASSERT_EQUAL(unittest::type_name<float>(), "float");
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ASSERT_EQUAL(unittest::type_name<double>(), "double");
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}
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DECLARE_UNITTEST(TestTypeName);
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