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Data, Hardware, Computing Methodologies


This paper discusses the importance of memory access optimizations which are shown to be highly effective on the MasPar architecture. The study is based on two MasPar machines, a 16K-processor MP-1 and a 4K-processor MP-2. A software pipelining technique overlaps memory accesses with computation and/or communication. Another optimization, called the register window technique reduces the number of loads in a loop. These techniques are evaluated using three parallel matrix multiplication algorithms on both the MasPar machines. The matrix multiplication study shows that for a highly computation intensive problem, reducing the interprocessor communication can become a secondary issue compared to memory access optimization. Also, it is shown that memory access optimizations can play a more important role than the choice of a superior parallel algorithm. Keywords: load/store architecture, memory accesses, matrix multiplication, parallel programming.