DPU0: DPU_matrix_multiplication port map(A0,B0,CLK,clear,S03,S01,O0); DPU1: DPU_matrix_multiplication port map(A1,S01,CLK,clear,S14,S12,O1); DPU2: DPU_matrix ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Abstract: Matrix-vector multiplication (MVM) underpins modern AI workloads, yet scaling it on electronic hardware is increasingly constrained by energy, bandwidth, and latency bottlenecks. Photonic ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...
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