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Description
  • Algorithms for the sparse matrix-vector multiplication (shortly SpMV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular and the utilization of a cache suffers from low spatial and temporal locality. To reduce this effect, the diagonal register blocking format was designed. This paper introduces a new combined format, called CARB, for storing sparse matrices that extends possibilities of the diagonal register blocking format.
  • Algorithms for the sparse matrix-vector multiplication (shortly SpMV) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the memory access patterns are irregular and the utilization of a cache suffers from low spatial and temporal locality. To reduce this effect, the diagonal register blocking format was designed. This paper introduces a new combined format, called CARB, for storing sparse matrices that extends possibilities of the diagonal register blocking format. (en)
Title
  • A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
  • A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices (en)
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  • A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
  • A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices (en)
skos:notation
  • RIV/68407700:21230/06:00114524!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • P(IBS3086102), Z(MSM6840770014)
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  • 463637
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  • RIV/68407700:21230/06:00114524
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  • cache utilization; diagonal register blocking format; sparse matrix-vector multiplication (en)
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  • [BBFC217E59D1]
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  • Praha
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  • Praha
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  • Proceedings of Workshop 2006
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  • Šimeček, Ivan
  • Kordík, Pavel
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number of pages
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  • České vysoké učení technické v Praze
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  • 80-01-03439-9
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  • 21230
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