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shiloz-stack/README.md

🚀 GPU Systems & Inference Engineering

Building custom CUDA & Triton kernels to push LLM inference faster than the hardware was designed to allow.


Grammar-aware speculative decoding

3 CUDA + 1 Triton kernel. Adaptive K via bitmask popcount.

popcount_density 111× · grammar_argmax fused · fused_sample online softmax

🔥 2.7× throughput on enum-heavy schemas · A100-SXM4

🧠 Flare

From-scratch Triton attention kernels

FlashAttention v2 · MLA (DeepSeek) · KDA (Kimi)

No wrappers — tiling, online softmax, recurrent state, written from the algorithm.

📦 MLA: 98.4% KV cache reduction at 128K context


🛠️ CUDA · Triton · PyTorch · C++ · Python · Nsight Compute · A100

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