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
9 lines
511 B
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9 lines
511 B
Plaintext
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CHECK-NEXT: But the raven, sitting lonely on the placid bust, spoke only,
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CHECK-NEXT: That one word, as if his soul in that one word he did outpour.
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CHECK-NEXT: Nothing further then he uttered - not a feather then he fluttered -
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CHECK-NEXT: Till I scarcely more than muttered `Other friends have flown before -
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CHECK-NEXT: On the morrow he will leave me, as my hopes have flown before.'
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CHECK-NEXT: Then the bird said, `Nevermore.'
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CHECK: Text sample contains 65 words
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