10af71357b48346eb1add403a1f31f51e9a0acf8
Source CCCL files read as input: - cub/block/block_scan.cuh (RAKING algorithm concept) - cub/device/dispatch/dispatch_reduce.cuh (GridEvenShare, two-pass) - cub/agent/agent_reduce.cuh (vectorized vs scalar load paths) - thrust/examples/histogram.cu (sort + reduce_by_key pattern) - thrust/examples/scan_by_key.cu (keyed scan for state propagation) Optimization 1: DeltaNet chunk kernel — solve_triangular replaces for-loop 63 Python iterations → 1 CUDA kernel (lower-triangular system solve) Optimization 2: MoE prefill — sort tokens by expert_id for contiguous gather CCCL histogram pattern: sort → segment → batched process
project_6
Description
Languages
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Cuda
31.6%
Python
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CMake
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