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The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluster. Three storage formats for sparse matrices compressed row storage, block compressed row storage and sparse block compressed row storage are evaluated. Although using BCRS format(More)
The sparse matrix vector product (SMVP) is the kernel operation in many scientific applications. This kernel is an irregular problem, which has led to the development of several compressed storage formats. This paper discusses scalable implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear(More)
Sparse matrices are pervasive in many Computational Science and Engineering (CS&E) applications. There is a significant number of storage formats used to represent sparse matrices. This paper presents a performance evaluation of storage formats for the main kernel of iterative methods for numerical linear algebra, namely matrix-vector multiplication.(More)
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