project_6/cccl_upstream/thrust/internal/test/thrust.example.summed_area_table.filecheck

     CHECK: [step 0] initial array
CHECK-NEXT:        1        1        1        1
CHECK-NEXT:        1        1        1        1
CHECK-NEXT:        1        1        1        1
CHECK-NEXT: [step 1] scan horizontally
CHECK-NEXT:        1        2        3        4
CHECK-NEXT:        1        2        3        4
CHECK-NEXT:        1        2        3        4
CHECK-NEXT: [step 2] transpose array
CHECK-NEXT:        1        1        1
CHECK-NEXT:        2        2        2
CHECK-NEXT:        3        3        3
CHECK-NEXT:        4        4        4
CHECK-NEXT: [step 3] scan transpose horizontally
CHECK-NEXT:        1        2        3
CHECK-NEXT:        2        4        6
CHECK-NEXT:        3        6        9
CHECK-NEXT:        4        8       12
CHECK-NEXT: [step 4] transpose the transpose
CHECK-NEXT:        1        2        3        4
CHECK-NEXT:        2        4        6        8
CHECK-NEXT:        3        6        9       12
[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: [step 0] initial array`
			`CHECK-NEXT: 1 1 1 1`
			`CHECK-NEXT: 1 1 1 1`
			`CHECK-NEXT: 1 1 1 1`
			`CHECK-NEXT: [step 1] scan horizontally`
			`CHECK-NEXT: 1 2 3 4`
			`CHECK-NEXT: 1 2 3 4`
			`CHECK-NEXT: 1 2 3 4`
			`CHECK-NEXT: [step 2] transpose array`
			`CHECK-NEXT: 1 1 1`
			`CHECK-NEXT: 2 2 2`
			`CHECK-NEXT: 3 3 3`
			`CHECK-NEXT: 4 4 4`
			`CHECK-NEXT: [step 3] scan transpose horizontally`
			`CHECK-NEXT: 1 2 3`
			`CHECK-NEXT: 2 4 6`
			`CHECK-NEXT: 3 6 9`
			`CHECK-NEXT: 4 8 12`
			`CHECK-NEXT: [step 4] transpose the transpose`
			`CHECK-NEXT: 1 2 3 4`
			`CHECK-NEXT: 2 4 6 8`
			`CHECK-NEXT: 3 6 9 12`