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

Language:

English

URL:


Additional Information:

editagich@ipia.sci.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Year:

2015

Time period:

September 28 - October 2

Conference title:

10 th International Conference on Computer Science and Information Technologies CSIT 2015

Place:

Yerevan

Participation type:

poster

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

11

All available object's versions:

https://noad.sci.am/publication/149536

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