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Sparse matrix vector multiplication (SpMV) is used in many scientific computations. The main bottleneck of this algorithm is memory bandwidth and many methods reduce memory bandwidth usage by compressing the index array. The matrices from finite difference modeling applications often have several dense diagonals and sparse diagonals. For these matrices, the index array can be deleted by using diagonal...
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