Object
Title: Performance of Eigenvalues and Eigenvectors Solutions of Complex Hermitian Matrices on GPU Accelerator
Abstract:
Solutions of eigenvalues and eigenvectors of complex Hermitian matrices are widespread and have a very important role in scientific calculations. These solutions can be obtained from linear algebra libraries by the functions of Lapack and by its parallel version ScaLapack in systems with general and distributed memory, respectively. However, it’s more beneficial to get these solutions in hybrid architectures which require a new development of algorithms to efficiently organize non-uniformity and massive parallelization in a graphical processor. The main objective of this paper is to present the performance of standard, as well as generalized case of solutions of eigenvalues and eigenvectors of complex and double complex Hermitian matrices on Tesla C1060 accelerator.
Identifier:
oai:noad.sci.am:135943
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Affiliation:
Institute for Informatics and Automation Problems
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Conference title:
10 th International Conference on Computer Science and Information Technologies CSIT 2015
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Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Conferences
Last modified:
Mar 3, 2021
In our library since:
Jul 27, 2020
Number of object content hits:
20
All available object's versions:
https://noad.sci.am/publication/149536
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| Edition name | Date |
|---|---|
| Edita Gichunts, Performance of Eigenvalues and Eigenvectors Solutions of Complex Hermitian Matrices on GPU Accelerator | Mar 3, 2021 |
