A Methodology for Speeding up MVM for Regular, Toeplitz and Bisymmetric Toeplitz Matrices

KELEFOURAS, Vasileios, KRITIKAKOU, Angeliki, SIOUROUNIS, Konstantinos and GOUTIS, Costas (2014). A Methodology for Speeding up MVM for Regular, Toeplitz and Bisymmetric Toeplitz Matrices. Journal of Signal Processing Systems, 77 (3), 241-255.

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Official URL: https://link.springer.com/article/10.1007/s11265-0...
Link to published version:: https://doi.org/10.1007/s11265-013-0812-9

Abstract

The Matrix Vector Multiplication algorithm is an important kernel in most varied domains and application areas and the performance of its implementations highly depends on the memory utilization and data locality. In this paper, a new methodology for MVM including different types of matrices, i.e. Regular, Toeplitz and Bisymmetric Toeplitz, is presented in detail. This methodology achieves higher execution speed than the software state of the art library, ATLAS (speedup from 1.2 up to 4.4), and other conventional software implementations, for both general (SIMD unit is used) and embedded processors. This is achieved by fully and simultaneously exploiting the combination of software and hardware parameters as one problem and not separately.

Item Type: Article
Departments: Faculty of Science, Technology and Arts > Computing
Identification Number: https://doi.org/10.1007/s11265-013-0812-9
Depositing User: Vasileios Kelefouras
Date Deposited: 05 Apr 2018 13:29
Last Modified: 05 Apr 2018 13:29
URI: http://shura.shu.ac.uk/id/eprint/18336

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