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 ...
Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
Lecturer: Jason Li (jmli@cs). TA: Meredith Pan (shiqip@andrew). Office hours: Meredith Thursdays 4-5pm, Gates 5th floor commons (subject to change); Jason Tuesdays 2-3pm, Gates 5011 Contacting us: ...
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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