Power analysis with variable traffic loads for next generation interconnection networks

Power consumption is the most important factor for the consideration of next generation supercomputers. In addition, the requirement of power usages can be even scaled up to more than 300MW (which is nearly equal to the one nuclear power plant) with the conventional networks. On the other hand, hi...

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Main Authors:	Faisal, Faiz Al, Rahman, M.M. Hafizur, Inoguchi, Yasushi
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/1/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation.pdf http://irep.iium.edu.my/53589/2/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation_Scopus.pdf

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recordtype	eprints
spelling	iium-535892017-05-16T03:38:29Z http://irep.iium.edu.my/53589/ Power analysis with variable traffic loads for next generation interconnection networks Faisal, Faiz Al Rahman, M.M. Hafizur Inoguchi, Yasushi TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Power consumption is the most important factor for the consideration of next generation supercomputers. In addition, the requirement of power usages can be even scaled up to more than 300MW (which is nearly equal to the one nuclear power plant) with the conventional networks. On the other hand, hierarchical interconnection networks can be a possible solution to those issues. 3D-TTN is a hierarchical interconnection network where lowest level is configured as the 3Dtorus network, following the 2Dtorus network at the higher-level networks. The main focus for this paper is the power analysis with variable traffic load along with the fault tolerance, cost, packing density and message traffic density of 3D-TTN comparing against various other networks. In our early research, 3D-TTN has achieved near about 21% better diameter performance, 12% better average distance performance and eventually required about 32.48% less router power usage at the lowest level than the 5Dtorus network for 1% traffic load. This paper shows the power comparison with the router and link power rather than considering the router power only. Our analysis shows that 3DTTN will require about 39.96% less router and link power than the 5Dtorus network for 10% traffic. With 30% traffic load, 3DTTN will require about 38.42% less power than the 5Dtorus network for the on-chip network. Even considering some topological parameters, 3D-TTN could also achieve some desirable performance by comparing other networks. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53589/1/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation.pdf application/pdf en http://irep.iium.edu.my/53589/2/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation_Scopus.pdf Faisal, Faiz Al and Rahman, M.M. Hafizur and Inoguchi, Yasushi (2016) Power analysis with variable traffic loads for next generation interconnection networks. In: 18th IEEE International Conference on High Performance Computing and Communications (HPCC 2016), 12th-14th December 2016, Sydney, Australia. http://ieeexplore.ieee.org/abstract/document/7828408/ 10.1109/HPCC-SmartCity-DSS.2016.0067
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Faisal, Faiz Al Rahman, M.M. Hafizur Inoguchi, Yasushi Power analysis with variable traffic loads for next generation interconnection networks
description	Power consumption is the most important factor for the consideration of next generation supercomputers. In addition, the requirement of power usages can be even scaled up to more than 300MW (which is nearly equal to the one nuclear power plant) with the conventional networks. On the other hand, hierarchical interconnection networks can be a possible solution to those issues. 3D-TTN is a hierarchical interconnection network where lowest level is configured as the 3Dtorus network, following the 2Dtorus network at the higher-level networks. The main focus for this paper is the power analysis with variable traffic load along with the fault tolerance, cost, packing density and message traffic density of 3D-TTN comparing against various other networks. In our early research, 3D-TTN has achieved near about 21% better diameter performance, 12% better average distance performance and eventually required about 32.48% less router power usage at the lowest level than the 5Dtorus network for 1% traffic load. This paper shows the power comparison with the router and link power rather than considering the router power only. Our analysis shows that 3DTTN will require about 39.96% less router and link power than the 5Dtorus network for 10% traffic. With 30% traffic load, 3DTTN will require about 38.42% less power than the 5Dtorus network for the on-chip network. Even considering some topological parameters, 3D-TTN could also achieve some desirable performance by comparing other networks.
format	Conference or Workshop Item
author	Faisal, Faiz Al Rahman, M.M. Hafizur Inoguchi, Yasushi
author_facet	Faisal, Faiz Al Rahman, M.M. Hafizur Inoguchi, Yasushi
author_sort	Faisal, Faiz Al
title	Power analysis with variable traffic loads for next generation interconnection networks
title_short	Power analysis with variable traffic loads for next generation interconnection networks
title_full	Power analysis with variable traffic loads for next generation interconnection networks
title_fullStr	Power analysis with variable traffic loads for next generation interconnection networks
title_full_unstemmed	Power analysis with variable traffic loads for next generation interconnection networks
title_sort	power analysis with variable traffic loads for next generation interconnection networks
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/ http://irep.iium.edu.my/53589/1/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation.pdf http://irep.iium.edu.my/53589/2/53589_Power%20analysis%20with%20variable%20traffic%20loads%20for%20next%20generation_Scopus.pdf
first_indexed	2023-09-18T21:15:47Z
last_indexed	2023-09-18T21:15:47Z
_version_	1777411553178419200

Power analysis with variable traffic loads for next generation interconnection networks

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