Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35388
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dc.contributor.authorSCHILDERMANS, Stijn-
dc.contributor.authorAERTS, Kris-
dc.contributor.authorShan, Jianchen-
dc.contributor.authorDing, Xiaoning-
dc.date.accessioned2021-09-16T11:56:41Z-
dc.date.available2021-09-16T11:56:41Z-
dc.date.issued2020-
dc.date.submitted2021-09-16T07:55:26Z-
dc.identifier.citation2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIACOMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020), IEEE COMPUTER SOC, p. 76 -83-
dc.identifier.isbn978-1-6654-1485-2-
dc.identifier.issn2158-9178-
dc.identifier.urihttp://hdl.handle.net/1942/35388-
dc.description.abstractThe cost of TLB consistency is steadily increasing as we evolve towards ever more parallel and consolidated systems. In many cases the application memory allocator is responsible for much of this cost. Existing allocators to our knowledge universally address this issue by sacrificing memory efficiency. This paper shows that such trade-offs are not necessary by presenting a novel memory allocator that exhibits both excellent memory efficiency and (TLB) scalability: ptlbmalloc2. First, we show that TLB consistency is becoming a major scalability bottleneck on modern systems. Next, we describe why existing memory allocators are unsatisfactory regarding this issue. Finally, we present and evaluate ptlbmalloc2, which has been implemeted as a library on top of glibc. Ptlbmalloc2 outperforms glibc by up to 70% in terms of cycles and execution time with a negligible impact on memory efficiency for real-world workloads. These results provide a strong incentive to rethink memory allocator scalability in the current era of many-core NUMA systems and cloud computing.-
dc.description.sponsorshipUS National Science FoundationNational Science Foundation (NSF) [CCF 1617749]; Flemish FWO grant [V433819N]; KU Leuven JUMO grant [19005]-
dc.language.isoen-
dc.publisherIEEE COMPUTER SOC-
dc.titlePtlbmalloc2: Reducing TLB Shootdowns with High Memory Efficiency-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateDEC 17-19, 2020-
local.bibliographicCitation.conferencename18th IEEE Int Symp on Parallel and Distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)-
local.bibliographicCitation.conferenceplaceELECTR NETWORK-
dc.identifier.epage83-
dc.identifier.spage76-
local.format.pages8-
local.bibliographicCitation.jcatC1-
dc.description.notesSchildermans, S (corresponding author), Katholieke Univ Leuven, Dept Comp Sci, Campus Diepenbeek,Wetenschapspk 27, B-3590 Diepenbeek, Belgium.-
dc.description.notesstijn.schildermans@kuleuven.be; kris.aerts@kuleuven.be;-
dc.description.notesjianchen.shan@hofstra.edu; xiaoning.ding@njit.edu-
local.publisher.place10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00036-
dc.identifier.isiWOS:000684021500010-
dc.contributor.orcidAerts, Kris/0000-0001-7214-452X-
local.provider.typewosris-
local.bibliographicCitation.btitle2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIACOMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020)-
local.uhasselt.uhpubyes-
local.description.affiliation[Schildermans, Stijn; Aerts, Kris] Katholieke Univ Leuven, Dept Comp Sci, Campus Diepenbeek,Wetenschapspk 27, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Shan, Jianchen] Hofstra Univ, Dept Comp Sci, Hempstead, NY 11549 USA.-
local.description.affiliation[Ding, Xiaoning] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA.-
local.uhasselt.internationalyes-
item.fullcitationSCHILDERMANS, Stijn; AERTS, Kris; Shan, Jianchen & Ding, Xiaoning (2020) Ptlbmalloc2: Reducing TLB Shootdowns with High Memory Efficiency. In: 2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIACOMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020), IEEE COMPUTER SOC, p. 76 -83.-
item.contributorSCHILDERMANS, Stijn-
item.contributorAERTS, Kris-
item.contributorShan, Jianchen-
item.contributorDing, Xiaoning-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
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