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 ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
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New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties
Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
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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