An Efficient GPU Implementation of Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices-Reference-Cited by-同舟云学术

An Efficient GPU Implementation of Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices

Published:2017 Issue:2 Volume:7 Page:227-247
ISSN:2185-2839
Container-title:International Journal of Networking and Computing
language:en
Short-container-title:IJNC

Author:

Tokura Hiroki¹,Honda Takumi¹,Ito Yasuaki¹,Nakano Koji¹,Nishino Mitsuya¹,Hirota Yushiro¹,Saeki Masami¹

Affiliation:

1. Hiroshima University

Publisher

IJNC Editorial Committee

Link

https://www.jstage.jst.go.jp/article/ijnc/7/2/7_227/_pdf

Reference41 articles.

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2. [2] LAPACK{Linear Algebra PACKage. http://www.netlib.org/lapack/

3. [3] OpenMP. http://www.openmp.org/

4. [4] Jurgen Ackermann. Robust Control: The Parameter Space Approach. Communications and Control Engineering. Springer-Verlag London, second edition, 2002.

5. [5] Michael J Anderson, David Sheeld, and Kurt Keutzer. A predictive model for solving small linear algebra problems in GPU registers. In Proc. of IEEE 26th International Parallel and Distributed Processing Symposium, pages 2{13, 2012.

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