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
37 lines
1.1 KiB
Plaintext
37 lines
1.1 KiB
Plaintext
CHECK: Generated 20 points
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CHECK-NEXT: (0.000022,0.085032)
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CHECK-NEXT: (0.601353,0.891611)
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CHECK-NEXT: (0.967956,0.189690)
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CHECK-NEXT: (0.514976,0.398008)
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CHECK-NEXT: (0.262906,0.743512)
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CHECK-NEXT: (0.089548,0.560390)
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CHECK-NEXT: (0.582230,0.809567)
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CHECK-NEXT: (0.591919,0.511713)
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CHECK-NEXT: (0.876634,0.995085)
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CHECK-NEXT: (0.726212,0.966611)
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CHECK-NEXT: (0.297102,0.426051)
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CHECK-NEXT: (0.899498,0.652999)
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CHECK-NEXT: (0.901534,0.961533)
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CHECK-NEXT: (0.164713,0.857987)
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CHECK-NEXT: (0.906845,0.294026)
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CHECK-NEXT: (0.936244,0.414645)
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CHECK-NEXT: (0.308457,0.514893)
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CHECK-NEXT: (0.395430,0.789785)
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CHECK-NEXT: (0.689141,0.544273)
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CHECK-NEXT: (0.592407,0.093630)
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CHECK: After stream compaction, 14 points remain
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CHECK-NEXT: (0.000022,0.085032)
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CHECK-NEXT: (0.967956,0.189690)
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CHECK-NEXT: (0.514976,0.398008)
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CHECK-NEXT: (0.262906,0.743512)
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CHECK-NEXT: (0.089548,0.560390)
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CHECK-NEXT: (0.582230,0.809567)
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CHECK-NEXT: (0.591919,0.511713)
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CHECK-NEXT: (0.297102,0.426051)
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CHECK-NEXT: (0.164713,0.857987)
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CHECK-NEXT: (0.906845,0.294026)
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CHECK-NEXT: (0.308457,0.514893)
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CHECK-NEXT: (0.395430,0.789785)
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CHECK-NEXT: (0.689141,0.544273)
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CHECK-NEXT: (0.592407,0.093630)
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