Abstract: Sparse matrix multiplication is one of the key computational kernels in large-scale data analytics. However, a naive implementation suffers from the overheads of irregular memory accesses ...

Abstract: Sparse matrix-matrix multiplication (SpMM) is a prevailing kernel in scientific and artificial intelligence applications. However, the irregular memory access behaviors caused by diverse ...

This work stems from the 'FPGA 101: From Reconfigurable to Domain-Specific Systems' course attended in fall '24 at NECSTLab, under the supervision of Asst. Prof. Davide Conficconi and Giuseppe ...

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Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...