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Reseach Article

Computing a Matrix Transpose of Multithreading for Queuing Parallel in Matlab Programming

by I. A. Ismail, G. S. Mokaddis, Mariam K. Metry
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 5
Year of Publication: 2012
Authors: I. A. Ismail, G. S. Mokaddis, Mariam K. Metry
10.5120/7627-0694

I. A. Ismail, G. S. Mokaddis, Mariam K. Metry . Computing a Matrix Transpose of Multithreading for Queuing Parallel in Matlab Programming. International Journal of Computer Applications. 49, 5 ( July 2012), 41-47. DOI=10.5120/7627-0694

@article{ 10.5120/7627-0694,
author = { I. A. Ismail, G. S. Mokaddis, Mariam K. Metry },
title = { Computing a Matrix Transpose of Multithreading for Queuing Parallel in Matlab Programming },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 5 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number5/7627-0694/ },
doi = { 10.5120/7627-0694 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:31.867065+05:30
%A I. A. Ismail
%A G. S. Mokaddis
%A Mariam K. Metry
%T Computing a Matrix Transpose of Multithreading for Queuing Parallel in Matlab Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 5
%P 41-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a A matrix operation (vector and transpose) can be performed in queueing parallel model by using multithreading software are showing. Multithreading is useful in reducing the latency by switching among a set of threads in order to improve the processor utilization. Closed queueing network model is suitable for large number of job arrivals. The model is validated by comparison of analytical parallel and simulation result.

References
  1. Anoop Gupta , John Hennessy , Kourosh Gharachorloo , Todd Mowry , Wolf-dietrich Weber, Comparative Evaluation of Latency Reducing and Tolerating Techniques, CiteSeex ,1991.
  2. Bhasker. V. , "A closed queueing network model with single servers for multithread architecture ". Applied Mathematical Modelling Vol. 33, PP. 3599-3616,2009.
  3. Greenberg. A. G. , Lubachevsky B. D. , and Mitrani. I. , "Algorithms for unbo- undedly parallel simulation s". ACM transactions on Computer Systems Vol. 9 , No. 3 , PP. 201–221. 1991.
  4. Ismail. A. I. and Elbehady . E. E. ," Finding computable Green's function for parallel planes and an open rectangular channel flow". Egyptian computer science journal, vol. 6, No. 1, PP. 36-44, 2000.
  5. Ricardo Bianchini , Beng-hong Lim, "Evaluating the Performance of Multithreading and Prefetching in Multiprocessors", IBM,1996.
  6. ScottGraham. G. andKenneth. C. Sevcik. ,Quantiative System performance computer analysis using queueing network models, prentice-hall inc. , upper sadd river, NJ,USA. 1992.
  7. Zhao. Y. and SimchiLevi. D, " Performance analysis and evaluation of assemble-to-order systems with stochastic sequential lead times ". Operations Research Vol. 54, No. 4, PP. 706–724,2006.
  8. V. Vlassov , L-E Thorelli , A. Kraynikov, A Queuing Model of Multithreading: A Case Study, CiteSeex,1996.
Index Terms

Computer Science
Information Sciences

Keywords

Closed Queueing Network parallel programming simulation and computing