Computing the sparse matrix vector product using block-based kernels without 
zero padding on processors with AVX-512 instructions

Bramas, Bérenger; Kus, Pavel

doi:10.7717/peerj-cs.151

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Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions

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Bramas, Bérenger
Max Planck Computing and Data Facility, Max Planck Society;

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Kus, Pavel
Max Planck Computing and Data Facility, Max Planck Society;

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Bramas, B., & Kus, P. (2018). Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions. PeerJ Computer Science, 4: e151. doi:10.7717/peerj-cs.151.

Cite as: https://hdl.handle.net/21.11116/0000-0001-6426-4

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