Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
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Updated
May 25, 2026 - Python
Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs
Hydra-2P, KDA, and CADR: fused PyTorch/Triton kernels for routing across model depth and sequence time.
Runnable C++20 experiments for RoPE, KV cache, speculative decoding, attention layouts, online softmax, and GEMM.
Row-wise CUDA softmax kernels: shared-memory reduction, warp-shuffle reduction, and online softmax benchmarked against cuDNN.
Benchmark-driven Triton kernel experiments covering vector operations, reductions, online softmax, and GPU optimization.
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