GitHub

Systolic-Processor-Architecture /DPU_array_matrix_multiplication_3

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 ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

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 ...
IEEE

SSpMV: A Sparsity-aware SpMV Framework Empowered by Multimodal Machine Learning

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 ...
IEEE

Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication

Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...