| Summary: | 碩士 === 靜宜大學 === 資訊碩士在職專班 === 100 === Recently, parallel programming is becoming more popular because of current trend of multi-core technology. In this thesis, we design a parallel simple sparse matrix-matrix multiplication using common sparse format. We analyze the data structure of sparse matrix named CRS (Compress Row Storage) and CCS (Compress Column Storage) in order to reduce unnecessary mathematical operation. Our algorithms are written in C and the parallel algorithms are implemented using OpenMP. We present four parallel algorithms of sparse matrix multiplication named CRSxCRS, CRSxCCS, CCSxCCS, and CCSxCRS using OpenMP and run on Dell 6950. Finally, we compare their performances. The preliminary experimental result shows that the CRSxCRS and CCSxCCS give the best in four algorithms.
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