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[INFRA] Import NVIDIA/CCCL upstream as optimization reference library 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
2026-07-30 09:35:51 +00:00
CHECK: Inclusive Segmented Scan w/ Key Sequence
CHECK-NEXT: keys : 0 0 0 1 1 2 2 2 2 3 4 4 5 5 5
CHECK-NEXT: input values : 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
CHECK-NEXT: output values : 2 4 6 2 4 2 4 6 8 2 2 4 2 4 6
CHECK: Inclusive Segmented Scan w/ Head Flag Sequence
CHECK-NEXT: head flags : 1 0 0 1 0 1 0 0 0 1 1 0 1 0 0
CHECK-NEXT: input values : 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
CHECK-NEXT: output values : 2 4 6 2 4 2 4 6 8 2 2 4 2 4 6
CHECK: Exclusive Segmented Scan w/ Key Sequence
CHECK-NEXT: keys : 0 0 0 1 1 2 2 2 2 3 4 4 5 5 5
CHECK-NEXT: input values : 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
CHECK-NEXT: output values : 0 2 4 0 2 0 2 4 6 0 0 2 0 2 4
CHECK: Exclusive Segmented Scan w/ Head Flag Sequence
CHECK-NEXT: head flags : 1 0 0 1 0 1 0 0 0 1 1 0 1 0 0
CHECK-NEXT: input values : 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
CHECK-NEXT: output values : 0 2 4 0 2 0 2 4 6 0 0 2 0 2 4
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