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  1. cuda-sgemm-optimization cuda-sgemm-optimization Public

    CUDA SGEMM kernel optimization: naive vs shared-memory tiled implementation with roofline analysis on Tesla T4

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    CUDA Batched Multi-Head Attention — warp-cooperative flash attention with online softmax, verified on Tesla T4 across 6 benchmark configurations

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    INT8 Quantized GEMM kernel for NVIDIA T4 using Tensor Cores. Zero register spills, 6.75 TOPS sustained throughput, full correctness validation. Production-ready CUDA optimization.

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    Optimized parallel prefix sum (scan) for NVIDIA T4 with zero register spills, bank-conflict-free shared memory, and hierarchical recursion. Achieves ~119 GB/s sustained throughput.

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