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Performance Models for Matrix Computations on Multicore Processors Using OpenMP

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2 Author(s)
Michailidis, P.D. ; Dept. of Balkan Studies, Univ. of Western Macedonia, Fiorina, Greece ; Margaritis, K.G.

The matrix computations such as matrix-vector and matrix multiplication are very challenging computational kernels arising in scientific computing. In this paper, we study and evaluate a number of different data decomposition schemes for matrix computations on multicore architectures using OpenMP programming model. Further, in this work we propose a simple and fast analytical model to predict the performance of matrix computations by taking memory access costs into account and data access schemes that appear in many scientific applications.

Published in:

Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2010 International Conference on

Date of Conference:

8-11 Dec. 2010

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