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The load-balanced multiplication of a large sparse matrix with vector on workstation cluster is considered.
考虑在工作站机群上实现大型稀疏矩阵和向量乘的负载平衡。
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Optimization techniques for the sparse matrix vector multiplication are adopted in programming.
编程中采用了稀疏矩阵向量相乘的优化技术。
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