Analysis of Parallel Architectures: SIMD, tightly-coupled MIMD, and loosely-coupled MIMD
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-53 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : Babasegun Adeleye, Salman Mohammed Jiddah | ||
| DOI : 10.14445/22312803/IJCTT-V53P102 |
Babasegun Adeleye, Salman Mohammed Jiddah "Analysis of Parallel Architectures: SIMD, tightly-coupled MIMD, and loosely-coupled MIMD". International Journal of Computer Trends and Technology (IJCTT) V53(1):6-8, November 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
This paper looks into the two forms of
parallel computing which are Single Instruction
Multiple Data (SIMD) and Multiple Instruction
Multiple Data (MIMD), and further diving into the
sub categories of MIMD; loosely coupled and tightly
coupled with an overview of their individual
architectures and their implementation in the
computing industry. For a case study of their
industrial application, this paper looked into the Intel
Iris processor as a practical implementation of SIMD
architecture in the industry, IBM Power8 for tightly
coupled MIMD systems which is a supercomputer,
and lastly the Beowulf cluster system which is an
implementation of loosely coupled MIMD. Each
architecture implementation is looked into regarding
why it is being chosen to be used in the industry.
References
[1] Flynn, Michael J. "Very high-speed computing
systems." Proceedings of the IEEE 54.12 (1966): 1901-
1909.
[2] Kaur, Mandeep, and RajdeepKaur. "A comparative analysis
of SIMD and MIMD architectures." International Journal of
Advanced Research in Computer Science and Software
Engineering 3.9 (2013).
[3] Adve, Sarita V., and KouroshGharachorloo. "Shared
memory consistency models: A tutorial." computer 29.12
(1996): 66-76.
[4] Hord, R. Michael. Parallel supercomputing in MIMD
architectures. CRC press, 1993.
[5] Sampath, S., Bharat BhushanSagar, and B. R. Nanjesh.
"Performance evaluation and comparison of MPI and PVM
using a cluster based parallel computing
architecture." Circuits, Power and Computing Technologies
(ICCPCT), 2013 International Conference on. IEEE, 2013.
[6] Luo, Wen-lang, An-dong Xie, and Wen Ruan. "The
construction and test for a small beowulf parallel computing
system." Intelligent Information Technology and Security
Informatics (IITSI), 2010 Third International Symposium
on. IEEE, 2010.
[7] Zhu, Yongzhi, and Baoxiang Cao. "A Scalability Metric
Based on Beowulf Cluster System." Distributed Computing
and Applications to Business Engineering and Science
(DCABES), 2010 Ninth International Symposium on. IEEE,
2010.
[8] Becker, Donald J., et al. "BEOWULF: A parallel
workstation for scientific computation." Proceedings,
International Conference on Parallel Processing. Vol. 95.
1995.
[9] Bhuyan, Laxmi N. "On the performance of loosely coupled
multiprocessors." ACM SIGARCH Computer Architecture
News 12.3 (1984): 256-262.
[10] Liu, Yingying, Dake Liu, and Wei Wang. "IIR
parallelization on multi-datapath SIMD
architecture." Integrated Circuits and Microsystems
(ICICM), International Conference on. IEEE, 2016.
[11] Sharangpani, Harsh. "Intel® Itanium™ processor
microarchitecture overview." Microprocessor Forum. 1999.
[12] Lameter, Christoph. "Numa (non-uniform memory access):
An overview." Queue 11.7 (2013): 40.
[13] Sinharoy, Balaram, et al. "IBM POWER8 processor core
microarchitecture." IBM Journal of Research and
Development 59.1 (2015): 2-1.
[14] Junkins, Stephen. "The Compute Architecture of Intel®
Processor Graphics Gen9." Intel whitepaper v1 (2015).
Keywords
Each
architecture implementation is looked into regarding
why it is being chosen to be used in the industry.