Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
Abstract: Efficient matrix multiplication is a crucial issue of AI, signal processing, and computing systems. This paper proposes an optimized matrix multiplication architecture, which incorporates ...
Note on factoring Fermat numbers: GMP-ECM features Schönhage-Strassen multiplication for polynomials in stage 2 when factoring Fermat numbers (not in the new, fast stage 2 for P+1 and P-1. This is to ...
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