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: Karatsuba-like multiplication is one of the most efficient multiplication algorithms, but is mostly avoided due to complex sub-multiplications. This paper introduces FPGA-based optimized ...

This project investigates how different multithreaded matrix multiplication strategies affect performance. The objective was to implement parallel matrix multiplication to explore how thread count, ...