Modeling Parallel Applications Performance on Heterogeneous Systems

Show simple item record

dc.contributor.author Al-Jaroodi, Jameela
dc.contributor.author Mohamed, Nader
dc.contributor.author Jiang, Hong
dc.contributor.author Swanson, David
dc.date.accessioned 2017-04-03T18:28:31Z
dc.date.available 2017-04-03T18:28:31Z
dc.date.issued 2003-04
dc.identifier.citation Al-Jaroodi, J., Mohamed, N. and et al. (2003) Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS’03), IEEE en_US
dc.identifier.uri http://hdl.handle.net/11347/191
dc.description.abstract The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate methods to calculate, compare and predict the applications performance on these platforms. In this paper, we discuss an enhanced performance evaluation model for parallel applications on heterogeneous systems. In our analysis, we include machines of different architectures, specifications and operating environments. We also discuss the enabling technologies that facilitate such heterogeneous applications. The model is then validated through experimental measurements using an agent-based parallel Java system, which facilitates simultaneous utilization of heterogeneous systems for parallel applications. The model provides good evaluation metrics that allow developers to assess and compare the parallel heterogeneous applications performances. en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Parallel applications en_US
dc.subject heterogeneous systems en_US
dc.subject cluster en_US
dc.subject performance model en_US
dc.title Modeling Parallel Applications Performance on Heterogeneous Systems en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics