Efficiency of Reproducible Level 1 BLAS
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Publication:2803590
DOI10.1007/978-3-319-31769-4_8zbMath1354.65091OpenAlexW2500063960MaRDI QIDQ2803590
David Parello, Philippe Langlois, Chemseddine Chohra
Publication date: 2 May 2016
Published in: Scientific Computing, Computer Arithmetic, and Validated Numerics (Search for Journal in Brave)
Full work available at URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01101723/file/ChohraLangloisParello.pdf
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Infinite-precision inner product and sparse matrix-vector multiplication using Ozaki scheme with Dot2 on manycore processors ⋮ Efficiency of Reproducible Level 1 BLAS
Uses Software
Cites Work
- A floating-point technique for extending the available precision
- Efficiency of Reproducible Level 1 BLAS
- BLIS: A Framework for Rapidly Instantiating BLAS Functionality
- Algorithm 908
- Ultimately Fast Accurate Summation
- First steps towards more numerical reproducibility
- Correct Rounding and a Hybrid Approach to Exact Floating-Point Summation
- Handbook of Floating-Point Arithmetic
- Floating-Point Computation of Functions with Maximum Accuracy
- Algorithms for Efficient Reproducible Floating Point Summation
- Accurate Floating-Point Summation Part I: Faithful Rounding
- Accurate Sum and Dot Product
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