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Conference Paper: Multithreaded self-scheduling: application of multithreading on loop scheduling for distributed shared memory multiprocessor

TitleMultithreaded self-scheduling: application of multithreading on loop scheduling for distributed shared memory multiprocessor
Authors
Issue Date1995
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000029
Citation
Ieee International Conference On Algorithms And Architectures For Parallel Processing, 1995, v. 2, p. 680-689 How to Cite?
AbstractA new loop scheduling scheme called multithreaded self-scheduling (MSS) for distributed shared memory multiprocessor is proposed. Based on the principles of multithreading, MSS attempts to hide the remote memory access latencies by switching between multiple contexts of threads. Consequently, loops scheduled by using MSS can obtain better performance comparing to the single-thread approaches. In this paper, a series of simulation results corresponding to various parameter changes are presented, which provides a measure of the effectiveness of MSS under different boundary conditions and suggests the ways for further improvements.
DescriptionThe 1st International Conference on Algorithms and Architectures for Parallel, Brisbane, Australia, 19-21 April 1995
Persistent Identifierhttp://hdl.handle.net/10722/45975

 

DC FieldValueLanguage
dc.contributor.authorHung, KPen_HK
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorCheung, YSen_HK
dc.date.accessioned2007-10-30T06:39:48Z-
dc.date.available2007-10-30T06:39:48Z-
dc.date.issued1995en_HK
dc.identifier.citationIeee International Conference On Algorithms And Architectures For Parallel Processing, 1995, v. 2, p. 680-689en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45975-
dc.descriptionThe 1st International Conference on Algorithms and Architectures for Parallel, Brisbane, Australia, 19-21 April 1995-
dc.description.abstractA new loop scheduling scheme called multithreaded self-scheduling (MSS) for distributed shared memory multiprocessor is proposed. Based on the principles of multithreading, MSS attempts to hide the remote memory access latencies by switching between multiple contexts of threads. Consequently, loops scheduled by using MSS can obtain better performance comparing to the single-thread approaches. In this paper, a series of simulation results corresponding to various parameter changes are presented, which provides a measure of the effectiveness of MSS under different boundary conditions and suggests the ways for further improvements.en_HK
dc.format.extent850823 bytes-
dc.format.extent4863 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000029en_HK
dc.relation.ispartofIEEE International Conference on Algorithms and Architectures for Parallel Processingen_HK
dc.rights©1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.titleMultithreaded self-scheduling: application of multithreading on loop scheduling for distributed shared memory multiprocessoren_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.emailCheung, YS:paul.cheung@hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.identifier.authorityCheung, YS=rp00077en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICAPP.1995.472255en_HK
dc.identifier.scopuseid_2-s2.0-0029227961en_HK
dc.identifier.hkuros1815-
dc.identifier.volume2en_HK
dc.identifier.spage680en_HK
dc.identifier.epage689en_HK
dc.identifier.scopusauthoridHung, KP=7202728414en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridCheung, YS=7202595335en_HK

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