A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers

From disaster prevention to mitigation, drug analysis to drug design, agriculture to food security, IoT to AI, and big data analysis to knowledge or sentiment mining, a high computation power is a prime necessity at present. As such, massively parallel computer (MPC) systems comprising a large numbe...

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Autores principales:	M M Hafizur Rahman, Mohammed Al-Naeem, Mohammed Mustafa Ghowanem, Eklas Hossain
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Tori-connected flattened butterfly network massively parallel computer hierarchical interconnection network static network performance packing density message traffic density Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/ffbb810f24a543e7aedadfadd0c2be8c
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spelling	oai:doaj.org-article:ffbb810f24a543e7aedadfadd0c2be8c2021-11-25T16:38:21ZA Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers10.3390/app1122107982076-3417https://doaj.org/article/ffbb810f24a543e7aedadfadd0c2be8c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10798https://doaj.org/toc/2076-3417From disaster prevention to mitigation, drug analysis to drug design, agriculture to food security, IoT to AI, and big data analysis to knowledge or sentiment mining, a high computation power is a prime necessity at present. As such, massively parallel computer (MPC) systems comprising a large number of nodes are gaining popularity. To interconnect these huge numbers of nodes efficiently, hierarchical interconnection networks are an attractive and feasible option. A Tori-connected flattened butterfly network (TFBN) has been proposed by the authors in a prior work for future generation MPC systems. In the previous study, the static network performance and static cost-effectiveness were evaluated. In this research, a novel trade-off factor named message traffic congestion vs. packing density trade-off factor has been proposed, which characterizes the message congestion in the network and its packing density. The factor is used to statically assess the suitability of the implementation of an interconnection network. The message traffic density, packing density, and new factor have been evaluated for the proposed network and similar competitive networks such as TTN, TESH, 2D-Mesh, 3D-Mesh, 2D-Torus, and 3D-Torus. It has been found that the performance of the TFBN is superior to the other networks.M M Hafizur RahmanMohammed Al-NaeemMohammed Mustafa GhowanemEklas HossainMDPI AGarticleTori-connected flattened butterfly networkmassively parallel computerhierarchical interconnection networkstatic network performancepacking densitymessage traffic densityTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10798, p 10798 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Tori-connected flattened butterfly network massively parallel computer hierarchical interconnection network static network performance packing density message traffic density Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	Tori-connected flattened butterfly network massively parallel computer hierarchical interconnection network static network performance packing density message traffic density Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 M M Hafizur Rahman Mohammed Al-Naeem Mohammed Mustafa Ghowanem Eklas Hossain A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
description	From disaster prevention to mitigation, drug analysis to drug design, agriculture to food security, IoT to AI, and big data analysis to knowledge or sentiment mining, a high computation power is a prime necessity at present. As such, massively parallel computer (MPC) systems comprising a large number of nodes are gaining popularity. To interconnect these huge numbers of nodes efficiently, hierarchical interconnection networks are an attractive and feasible option. A Tori-connected flattened butterfly network (TFBN) has been proposed by the authors in a prior work for future generation MPC systems. In the previous study, the static network performance and static cost-effectiveness were evaluated. In this research, a novel trade-off factor named message traffic congestion vs. packing density trade-off factor has been proposed, which characterizes the message congestion in the network and its packing density. The factor is used to statically assess the suitability of the implementation of an interconnection network. The message traffic density, packing density, and new factor have been evaluated for the proposed network and similar competitive networks such as TTN, TESH, 2D-Mesh, 3D-Mesh, 2D-Torus, and 3D-Torus. It has been found that the performance of the TFBN is superior to the other networks.
format	article
author	M M Hafizur Rahman Mohammed Al-Naeem Mohammed Mustafa Ghowanem Eklas Hossain
author_facet	M M Hafizur Rahman Mohammed Al-Naeem Mohammed Mustafa Ghowanem Eklas Hossain
author_sort	M M Hafizur Rahman
title	A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
title_short	A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
title_full	A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
title_fullStr	A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
title_full_unstemmed	A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers
title_sort	novel tradeoff analysis between traffic congestion and packing density of interconnection networks for massively parallel computers
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ffbb810f24a543e7aedadfadd0c2be8c
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A Novel Tradeoff Analysis between Traffic Congestion and Packing Density of Interconnection Networks for Massively Parallel Computers

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