Abstract: This brief proposes a novel hardware structure for large integer multiplication in fully homomorphic encryption. We propose a method based on negative wrapped convolution to avoid zero ...
Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
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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