2022
DOI: 10.3390/electronics11223699
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Mapping and Optimization Method of SpMV on Multi-DSP Accelerator

Abstract: Sparse matrix-vector multiplication (SpMV) solves the product of a sparse matrix and dense vector, and the sparseness of a sparse matrix is often more than 90%. Usually, the sparse matrix is compressed to save storage resources, but this causes irregular access to dense vectors in the algorithm, which takes a lot of time and degrades the SpMV performance of the system. In this study, we design a dedicated channel in the DMA to implement an indirect memory access process to speed up the SpMV operation. On this … Show more

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Cited by 2 publications
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