Object

Title: Batched BLAS Problems of Complex Hermitian Small Matrices in theArchitecture of GPU Accelerator

Abstract:

The emergence of multi-core and heterogeneous architectures requires the processing of a number of linear algebra algorithms to take advantage of accelerators, such as graphics processors. There is a difficult class of problems involving linear algebra operations for thousands of smalldimensional matrices. Batched computations continue to have a wide range of applications in scientific calculations. Their goal is to more efficiently transfer the application of algorithms to high-performance multi-core architectures. Some operations of linear algebra are presented in this work for complex Hermitian small matrices, which are grouped together under the name of Batched BLAS. In this work the performances of the complex Hermitian Batched matrixmatrix multiplication, matrix-vector multiplication and 2nd rank update operations are presented on NVIDIA Tesla K40c graphics processor with the use of MAGMA library

Identifier:

oai:noad.sci.am:135809

Language:

English

URL:


Additional Information:

editagich@ipia.sci.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Year:

2017

Time period:

September25-29

Conference title:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 17, 2020

Number of object content hits:

7

All available object's versions:

https://noad.sci.am/publication/149336

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