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Dataflow actor network partitioning for multiple FPGAS

Dataflow actor network is used to display the relation between different actors in a directed graph. It is suitable for modelling signal and video processing in software applications. In this paper, the use of dataflow actor network is extended to the hardware implementation of streaming application...

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Main Author: Chin, Yong Huan
Format: Thesis
Language:English
Published: 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/80933/1/ChinYongHuanMFKE2016.pdf
http://eprints.utm.my/id/eprint/80933/
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spelling my.utm.809332019-07-24T00:10:55Z http://eprints.utm.my/id/eprint/80933/ Dataflow actor network partitioning for multiple FPGAS Chin, Yong Huan TK Electrical engineering. Electronics Nuclear engineering Dataflow actor network is used to display the relation between different actors in a directed graph. It is suitable for modelling signal and video processing in software applications. In this paper, the use of dataflow actor network is extended to the hardware implementation of streaming applications via dataflow actor network partitioning for multiple FPGAs based on the number of cuts, connection workload, resource utilization ratio and latency. Multiple FPGAs partitioning is often required for implementing design with large logic count, for cost reduction, multi clock and multi power domains design implementation. The motivation of using the dataflow actor network is due to the nature of the network which closely resembles the structural view and the inter-connections of a design at the architecture level. This representation in the form of a dataflow actor network is suitable for implementing graph partitioning algorithms. The KL algorithm, GA, PSO, SA and WOA are used for single objective partitioning while the MOPSO, MOSA and MOWOA have been used for multi objective partitioning. The objective of this study is to develop partitioning algorithm suitable for use in dataflow actor network and to determine the appropriate partitioning criteria. Results showed that SA has better performance as compared to other partitioning algorithm for single objective partitioning. On the other hand, for multi objective partitioning the MOPSO has better performance for small design while MOSA has better performance for larger design. 2016-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80933/1/ChinYongHuanMFKE2016.pdf Chin, Yong Huan (2016) Dataflow actor network partitioning for multiple FPGAS. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:121153
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chin, Yong Huan
Dataflow actor network partitioning for multiple FPGAS
description Dataflow actor network is used to display the relation between different actors in a directed graph. It is suitable for modelling signal and video processing in software applications. In this paper, the use of dataflow actor network is extended to the hardware implementation of streaming applications via dataflow actor network partitioning for multiple FPGAs based on the number of cuts, connection workload, resource utilization ratio and latency. Multiple FPGAs partitioning is often required for implementing design with large logic count, for cost reduction, multi clock and multi power domains design implementation. The motivation of using the dataflow actor network is due to the nature of the network which closely resembles the structural view and the inter-connections of a design at the architecture level. This representation in the form of a dataflow actor network is suitable for implementing graph partitioning algorithms. The KL algorithm, GA, PSO, SA and WOA are used for single objective partitioning while the MOPSO, MOSA and MOWOA have been used for multi objective partitioning. The objective of this study is to develop partitioning algorithm suitable for use in dataflow actor network and to determine the appropriate partitioning criteria. Results showed that SA has better performance as compared to other partitioning algorithm for single objective partitioning. On the other hand, for multi objective partitioning the MOPSO has better performance for small design while MOSA has better performance for larger design.
format Thesis
author Chin, Yong Huan
author_facet Chin, Yong Huan
author_sort Chin, Yong Huan
title Dataflow actor network partitioning for multiple FPGAS
title_short Dataflow actor network partitioning for multiple FPGAS
title_full Dataflow actor network partitioning for multiple FPGAS
title_fullStr Dataflow actor network partitioning for multiple FPGAS
title_full_unstemmed Dataflow actor network partitioning for multiple FPGAS
title_sort dataflow actor network partitioning for multiple fpgas
publishDate 2016
url http://eprints.utm.my/id/eprint/80933/1/ChinYongHuanMFKE2016.pdf
http://eprints.utm.my/id/eprint/80933/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:121153
_version_ 1643658559944130560
score 13.211869

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