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
65 lines
2.2 KiB
Plaintext
65 lines
2.2 KiB
Plaintext
#include <thrust/mr/pool_options.h>
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#include <unittest/unittest.h>
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void TestPoolOptionsBasicValidity()
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{
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thrust::mr::pool_options options = thrust::mr::pool_options();
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ASSERT_EQUAL(options.validate(), false);
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options.max_blocks_per_chunk = 1024;
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options.max_bytes_per_chunk = 1024 * 1024;
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options.smallest_block_size = 8;
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options.largest_block_size = 1024;
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ASSERT_EQUAL(options.validate(), true);
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// the minimum number of blocks per chunk is bigger than the max
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options.min_blocks_per_chunk = 1025;
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ASSERT_EQUAL(options.validate(), false);
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options.min_blocks_per_chunk = 128;
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ASSERT_EQUAL(options.validate(), true);
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// the minimum number of bytes per chunk is bigger than the max
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options.min_bytes_per_chunk = 1025 * 1024;
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ASSERT_EQUAL(options.validate(), false);
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options.min_bytes_per_chunk = 1024;
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ASSERT_EQUAL(options.validate(), true);
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// smallest block size is bigger than the largest block size
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options.smallest_block_size = 2048;
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ASSERT_EQUAL(options.validate(), false);
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options.smallest_block_size = 8;
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ASSERT_EQUAL(options.validate(), true);
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}
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DECLARE_UNITTEST(TestPoolOptionsBasicValidity);
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void TestPoolOptionsComplexValidity()
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{
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thrust::mr::pool_options options = thrust::mr::pool_options();
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ASSERT_EQUAL(options.validate(), false);
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options.max_blocks_per_chunk = 1024;
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options.max_bytes_per_chunk = 1024 * 1024;
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options.smallest_block_size = 8;
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options.largest_block_size = 1024;
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ASSERT_EQUAL(options.validate(), true);
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options.min_bytes_per_chunk = 2 * 1024;
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options.max_bytes_per_chunk = 256 * 1024;
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// the biggest allowed allocation (deduced from blocks in chunks)
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// is smaller than the minimal allowed one (defined in bytes)
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options.max_blocks_per_chunk = 1;
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ASSERT_EQUAL(options.validate(), false);
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options.max_blocks_per_chunk = 1024;
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ASSERT_EQUAL(options.validate(), true);
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// the smallest allowed allocation (deduced from blocks in chunks)
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// is bigger than the maximum allowed one (defined in bytes)
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options.min_blocks_per_chunk = 1024 * 1024;
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ASSERT_EQUAL(options.validate(), false);
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options.min_blocks_per_chunk = 128;
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ASSERT_EQUAL(options.validate(), true);
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}
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DECLARE_UNITTEST(TestPoolOptionsComplexValidity);
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