AVX Acceleration of DD Arithmetic Between a Sparse Matrix and Vector-Reference-Cited by-同舟云学术

AVX Acceleration of DD Arithmetic Between a Sparse Matrix and Vector

Published:2014 Issue: Volume: Page:622-631
ISSN:0302-9743
Container-title:Parallel Processing and Applied Mathematics
language:
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Author:

Hishinuma Toshiaki,Fujii Akihiro,Tanaka Teruo,Hasegawa Hidehiko

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-55224-3_58

Reference7 articles.

1. Hasegawa, H.: Utilizing the quadruple-precision floating-point arithmetic operation for the Krylov subspace methods. In: The 8th SIAM Conference on Applied Linear, Algebra (2003)

2. Bailey, D.H.: QD (C++ / Fortran-90 double-double and quad-double package), http://crd-legacy.lbl.gov/dhbailey/mpdist/

3. Intel: Intrinsics Guide, http://software.intel.com/en-us/articles/intel-intrinsics-guide

4. Dekker, T.: A floating-point technique for extending the available precision. Numer. Math. 18, 224–242 (1971)

5. Knuth, D.E.: The Art of Computer Programming: Seminumerical Algorithms, vol. 2. Addison-Wesley, Reading (1969)

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