The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems

In this paper, we examine the causes and effects of contention for shared data access in parallel programs running on a software dis- tributed shared memory (DSM) system. Specifically, we experiment on two widely-used, page-based protocols, Princeton’s home-based lazy re- lease consistency (HLRC) an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: de Lara, Eyal, Lu, Honghui, Charlie, Y., Cox, Alan L., Zwaenepoel, Willy
Format: Buchkapitel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 169
container_issue
container_start_page 155
container_title
container_volume 1915
creator de Lara, Eyal
Lu, Honghui
Charlie, Y.
Cox, Alan L.
Zwaenepoel, Willy
description In this paper, we examine the causes and effects of contention for shared data access in parallel programs running on a software dis- tributed shared memory (DSM) system. Specifically, we experiment on two widely-used, page-based protocols, Princeton’s home-based lazy re- lease consistency (HLRC) and TreadMarks. For most of our programs, these protocols were equally affected by latency increases caused by con- tention and achieved similar performance. Where they differ significantly, HLRC’s ability to manually eliminate load imbalance was the largest fac- tor accounting for the difference. To quantify the effects of contention we either modified the application to eliminate the cause of the contention or modified the underlying protocol to efficiently handle it. Overall, we find that contention has profound effects on performance: eliminating contention reduced execution time by 64% in the most extreme case, even at the relatively modest scale of 32 nodes that we consider in this paper.
doi_str_mv 10.1007/3-540-40889-4_12
format Book Chapter
fullrecord <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_779803</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC3071623_18_163</sourcerecordid><originalsourceid>FETCH-LOGICAL-p308t-3cb1afcd919e2ead812f91669a4fd2273b9d052d74c02eeeb0e43f9dcf8b66233</originalsourceid><addsrcrecordid>eNotkE1vFDEMhsOnupS9cxyJc4oTZzLJEVaFIhWBtEXiFmUyTndgd2ZJUqH992S2tSxb8vvash7G3gm4EgDdB-StAq7AGMuVE_IZW9vOYB2eZ-1zthJaCI6o7Av25iwIYVr5kq0AQXLbKXzNVhZbaUG3-oKtc_4NNVAqBL1iv-521FzHSKE0c2w281RoKuM8NTVL1bbB730_7sdyWgw__D3xTz7T0GznWP75VC27WofmGx3mdGq2p1zokN-yV9HvM62f-iX7-fn6bnPDb79_-br5eMuPCKZwDL3wMQxWWJLkByNktEJr61UcpOywtwO0cuhUAElEPZDCaIcQTa-1RLxk7x_vHn2ur8bkpzBmd0zjwaeT6zprYHFdPbpyFaZ7Sq6f5z_ZCXALaYeusnNnqm4hXRfw6Wya_z5QLo6WjVDhJL8PO38slLJD6ET9wgnjhEb8D4vEe6s</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC3071623_18_163</pqid></control><display><type>book_chapter</type><title>The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems</title><source>Springer Books</source><creator>de Lara, Eyal ; Lu, Honghui ; Charlie, Y. ; Cox, Alan L. ; Zwaenepoel, Willy</creator><contributor>Dwarkadas, Sandhya</contributor><creatorcontrib>de Lara, Eyal ; Lu, Honghui ; Charlie, Y. ; Cox, Alan L. ; Zwaenepoel, Willy ; Dwarkadas, Sandhya</creatorcontrib><description>In this paper, we examine the causes and effects of contention for shared data access in parallel programs running on a software dis- tributed shared memory (DSM) system. Specifically, we experiment on two widely-used, page-based protocols, Princeton’s home-based lazy re- lease consistency (HLRC) and TreadMarks. For most of our programs, these protocols were equally affected by latency increases caused by con- tention and achieved similar performance. Where they differ significantly, HLRC’s ability to manually eliminate load imbalance was the largest fac- tor accounting for the difference. To quantify the effects of contention we either modified the application to eliminate the cause of the contention or modified the underlying protocol to efficiently handle it. Overall, we find that contention has profound effects on performance: eliminating contention reduced execution time by 64% in the most extreme case, even at the relatively modest scale of 32 nodes that we consider in this paper.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540411852</identifier><identifier>ISBN: 9783540411857</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540408895</identifier><identifier>EISBN: 3540408894</identifier><identifier>DOI: 10.1007/3-540-40889-4_12</identifier><identifier>OCLC: 935290656</identifier><identifier>LCCallNum: QA76.6-76.66</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Average Response Time ; Computer science; control theory; systems ; Exact sciences and technology ; Execution Time ; Home Node ; Language processing and microprogramming ; Load Imbalance ; Shared Memory ; Software</subject><ispartof>Languages, Compilers, and Run-Time Systems for Scalable Computers, 2000, Vol.1915, p.155-169</ispartof><rights>Springer-Verlag Berlin Heidelberg 2000</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3071623-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/3-540-40889-4_12$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/3-540-40889-4_12$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,775,776,780,785,786,789,4036,4037,27902,38232,41418,42487</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=779803$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Dwarkadas, Sandhya</contributor><creatorcontrib>de Lara, Eyal</creatorcontrib><creatorcontrib>Lu, Honghui</creatorcontrib><creatorcontrib>Charlie, Y.</creatorcontrib><creatorcontrib>Cox, Alan L.</creatorcontrib><creatorcontrib>Zwaenepoel, Willy</creatorcontrib><title>The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems</title><title>Languages, Compilers, and Run-Time Systems for Scalable Computers</title><description>In this paper, we examine the causes and effects of contention for shared data access in parallel programs running on a software dis- tributed shared memory (DSM) system. Specifically, we experiment on two widely-used, page-based protocols, Princeton’s home-based lazy re- lease consistency (HLRC) and TreadMarks. For most of our programs, these protocols were equally affected by latency increases caused by con- tention and achieved similar performance. Where they differ significantly, HLRC’s ability to manually eliminate load imbalance was the largest fac- tor accounting for the difference. To quantify the effects of contention we either modified the application to eliminate the cause of the contention or modified the underlying protocol to efficiently handle it. Overall, we find that contention has profound effects on performance: eliminating contention reduced execution time by 64% in the most extreme case, even at the relatively modest scale of 32 nodes that we consider in this paper.</description><subject>Applied sciences</subject><subject>Average Response Time</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Execution Time</subject><subject>Home Node</subject><subject>Language processing and microprogramming</subject><subject>Load Imbalance</subject><subject>Shared Memory</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540411852</isbn><isbn>9783540411857</isbn><isbn>9783540408895</isbn><isbn>3540408894</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2000</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkE1vFDEMhsOnupS9cxyJc4oTZzLJEVaFIhWBtEXiFmUyTndgd2ZJUqH992S2tSxb8vvash7G3gm4EgDdB-StAq7AGMuVE_IZW9vOYB2eZ-1zthJaCI6o7Av25iwIYVr5kq0AQXLbKXzNVhZbaUG3-oKtc_4NNVAqBL1iv-521FzHSKE0c2w281RoKuM8NTVL1bbB730_7sdyWgw__D3xTz7T0GznWP75VC27WofmGx3mdGq2p1zokN-yV9HvM62f-iX7-fn6bnPDb79_-br5eMuPCKZwDL3wMQxWWJLkByNktEJr61UcpOywtwO0cuhUAElEPZDCaIcQTa-1RLxk7x_vHn2ur8bkpzBmd0zjwaeT6zprYHFdPbpyFaZ7Sq6f5z_ZCXALaYeusnNnqm4hXRfw6Wya_z5QLo6WjVDhJL8PO38slLJD6ET9wgnjhEb8D4vEe6s</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>de Lara, Eyal</creator><creator>Lu, Honghui</creator><creator>Charlie, Y.</creator><creator>Cox, Alan L.</creator><creator>Zwaenepoel, Willy</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2000</creationdate><title>The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems</title><author>de Lara, Eyal ; Lu, Honghui ; Charlie, Y. ; Cox, Alan L. ; Zwaenepoel, Willy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p308t-3cb1afcd919e2ead812f91669a4fd2273b9d052d74c02eeeb0e43f9dcf8b66233</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Applied sciences</topic><topic>Average Response Time</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Execution Time</topic><topic>Home Node</topic><topic>Language processing and microprogramming</topic><topic>Load Imbalance</topic><topic>Shared Memory</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Lara, Eyal</creatorcontrib><creatorcontrib>Lu, Honghui</creatorcontrib><creatorcontrib>Charlie, Y.</creatorcontrib><creatorcontrib>Cox, Alan L.</creatorcontrib><creatorcontrib>Zwaenepoel, Willy</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Lara, Eyal</au><au>Lu, Honghui</au><au>Charlie, Y.</au><au>Cox, Alan L.</au><au>Zwaenepoel, Willy</au><au>Dwarkadas, Sandhya</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems</atitle><btitle>Languages, Compilers, and Run-Time Systems for Scalable Computers</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2000</date><risdate>2000</risdate><volume>1915</volume><spage>155</spage><epage>169</epage><pages>155-169</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540411852</isbn><isbn>9783540411857</isbn><eisbn>9783540408895</eisbn><eisbn>3540408894</eisbn><abstract>In this paper, we examine the causes and effects of contention for shared data access in parallel programs running on a software dis- tributed shared memory (DSM) system. Specifically, we experiment on two widely-used, page-based protocols, Princeton’s home-based lazy re- lease consistency (HLRC) and TreadMarks. For most of our programs, these protocols were equally affected by latency increases caused by con- tention and achieved similar performance. Where they differ significantly, HLRC’s ability to manually eliminate load imbalance was the largest fac- tor accounting for the difference. To quantify the effects of contention we either modified the application to eliminate the cause of the contention or modified the underlying protocol to efficiently handle it. Overall, we find that contention has profound effects on performance: eliminating contention reduced execution time by 64% in the most extreme case, even at the relatively modest scale of 32 nodes that we consider in this paper.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-40889-4_12</doi><oclcid>935290656</oclcid><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0302-9743
ispartof Languages, Compilers, and Run-Time Systems for Scalable Computers, 2000, Vol.1915, p.155-169
issn 0302-9743
1611-3349
language eng
recordid cdi_pascalfrancis_primary_779803
source Springer Books
subjects Applied sciences
Average Response Time
Computer science
control theory
systems
Exact sciences and technology
Execution Time
Home Node
Language processing and microprogramming
Load Imbalance
Shared Memory
Software
title The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T02%3A32%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=The%20Effect%20of%20Contention%20on%20the%20Scalability%20of%20Page-Based%20Software%20Shared%20Memory%20Systems&rft.btitle=Languages,%20Compilers,%20and%20Run-Time%20Systems%20for%20Scalable%20Computers&rft.au=de%20Lara,%20Eyal&rft.date=2000&rft.volume=1915&rft.spage=155&rft.epage=169&rft.pages=155-169&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=3540411852&rft.isbn_list=9783540411857&rft_id=info:doi/10.1007/3-540-40889-4_12&rft_dat=%3Cproquest_pasca%3EEBC3071623_18_163%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540408895&rft.eisbn_list=3540408894&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC3071623_18_163&rft_id=info:pmid/&rfr_iscdi=true