SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision

DOI10.1007/978-3-319-61982-8_4OpenAlexW2735800931MaRDI QIDQ5862552

Hidehiko Hasegawa, Toshiaki Hishinuma, Teruo Tanaka

Publication date: 9 March 2022

Published in: High Performance Computing for Computational Science – VECPAR 2016 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-61982-8_4

zbMATH Keywords

matrix storage formatSpMVAVX2double-double precision arithmetictransposed SpMV

Mathematics Subject Classification ID

Numerical linear algebra (65Fxx) Computer aspects of numerical algorithms (65Yxx)

Cites Work

• A floating-point technique for extending the available precision
• The university of Florida sparse matrix collection
• A Highly Efficient Implementation of Multiple Precision Sparse Matrix-Vector Multiplication and Its Application to Product-type Krylov Subspace Methods
• Design, implementation and testing of extended and mixed precision BLAS
• Unnamed Item

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