Quadruple-Precision BLAS Using Bailey's Arithmetic with FMA Instruction: Its Performance and Applications

Abstract

When a floating-point arithmetic is executed on a processor unit, round-off and truncation errors occur every calculation. These errors cause a precision issue in a large simulation which requires a great number of calculations. Therefore, we have developed the quadruple-precision basic linear algebra subprograms (QPBLAS) based on Bailey's double-double… (More)
DOI: 10.1109/IPDPSW.2017.42

Topics

16 Figures and Tables

Cite this paper

@article{Yamada2017QuadruplePrecisionBU, title={Quadruple-Precision BLAS Using Bailey's Arithmetic with FMA Instruction: Its Performance and Applications}, author={Susumu Yamada and Toshiyuki Imamura and Takuya Ina and Narimasa Sasa and Yasuhiro Idomura and Masahiko Machida}, journal={2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, year={2017}, pages={1418-1425} }