BGEMM-CUDA. BGEMM-CUDA is a CUDA-based low-bit GEMM kernel library for efficient neural network inference. It implements optimized binary and ternary matrix multiplication primitives, including binary-weight and ternary-activation computation, with PyTorch extension support for model-level integration.

Problem

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Audience

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Market

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