Optimized data reuse via reordering for sparse matrix-vector multiplication on FPGAs

• Main Authors: Li, Shiqing, Liu, Di, Liu, Weichen
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2022
• 主題: Engineering::Computer science and engineering; Dataflow Engine; Memory Ports
• 在線閱讀: https://hdl.handle.net/10356/155570

Sparse matrix-vector multiplication (SpMV) is of paramount importance in both scientific and engineering applications. The main workload of SpMV is multiplications between randomly distributed nonzero elements in sparse matrices and their corresponding vector elements. Due to irregular data access p...