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Efficiency Measurement for Effective Stress Management in Heterogeneous 2-D Mesh Processor

by Arashdeep Singh, Sunny Behal, Ankit Arora
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 12
Year of Publication: 2013
Authors: Arashdeep Singh, Sunny Behal, Ankit Arora
10.5120/14066-2330

Arashdeep Singh, Sunny Behal, Ankit Arora . Efficiency Measurement for Effective Stress Management in Heterogeneous 2-D Mesh Processor. International Journal of Computer Applications. 81, 12 ( November 2013), 29-33. DOI=10.5120/14066-2330

@article{ 10.5120/14066-2330,
author = { Arashdeep Singh, Sunny Behal, Ankit Arora },
title = { Efficiency Measurement for Effective Stress Management in Heterogeneous 2-D Mesh Processor },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 12 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number12/14066-2330/ },
doi = { 10.5120/14066-2330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:54.483078+05:30
%A Arashdeep Singh
%A Sunny Behal
%A Ankit Arora
%T Efficiency Measurement for Effective Stress Management in Heterogeneous 2-D Mesh Processor
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 12
%P 29-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi-Processor interconnection with varying speed is a great attempt in massive parallel processors. Such types of distributed cluster along with heterogeneous behavior will requires vast amount of scheduling efforts. Complexity increases as scheduler has to detect dynamic characteristics of the processors. Parallel schedulers are implemented in cluster technology for job assignment and placement. Further, core processor technology will provide a greater endeavor for load balancing. This research covers heterogeneous multi-processors with 2-D mesh interconnection mapped to cube oriented memory mesh for job allocation and distribution. The job distribution will be based upon processor cycle speed. A two dimensional job slice is build, which in later stages along with many other slices overlapped to exhibit memory cube.

References
  1. Mendel R, 1995 Complete Computer System Simulation:The SimOS approach IEEE Parallel and Distributed Computing.
  2. Orleans, L. F IEEE 2007 Fair Load-Balancing on Parallel System, International Conference on parallel processing
  3. Chhabra, A. and Singh, G. 2009 Simulated Performance Analysis of Multiprocessor Dynamic Space-Sharing Scheduling policy
  4. Bobrek A. , Paul M. 2010 IEEE Stochastic Contention for Single-Chip Heterogeneous Multiprocessor.
  5. Varbanescu, A. 2010. On the effective parallel programming on multi-core processors. Universities POLITEHNICA Bucuresti Romania Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  6. Kot, A. IEEE 2011 The Evaluation of an Effective Out-of-Core Run-Time System in the Context of Parallel Mesh Generation. Parallel and distributed symposium IPDS.
  7. Marowka, A. J. 2011 Back to thin-core massively parallel processors. Bar-llan University, Israel. IEEE computer society.
  8. Chhabra, A. and Arora, A. 2011. Cluster based performance evaluation of Run-length image compression.
  9. Lokhande, M. , Atique, M. , 2012. Real-Time Scheduling for Parallel Task Models on Multi-Core Processors-A Critical review".
  10. Hager, G. and Wellein, G. 2012 Ingredients for good parallel performance multi-core based systems spring sim, Alexander university Orlando USA.
  11. Srinivasa Rao, P. and Govardhan, 2013 A. Dynamic Load Balancing With Central Monitoring of Distributed Job Processing System. Foundation of Computer Science New York.
  12. Arora, A. , Arora, A. 2013. Scheduling Simulations: An Experimental Approach to Time-Sharing Multiprocessor Scheduling Schemes.
Index Terms

Computer Science
Information Sciences

Keywords

Load Steadiness Processor Cycle Speed Efficiency Measurements Dynamic Distribution Characteristics Stress Management.

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