Extending Amdahl's Law for Heterogeneous Computing

Energy will be a major limiting factor in future multi-core architectures, so optimizing performance per watt should be a key driver for next generation massive-core architectures. Recent studies show that heterogeneous chips integrating different core architectures, such as CPU and GPU, on a single...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications s. 309 - 316
Hlavní autor: Marowka, A.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2012
Témata:
Analytical model
Analytical models
CPU-GPU architecture
Energy efficiency
Graphics processing unit
Mathematical model
Multicore processing
Power demand
ISBN:1467316318, 9781467316316
ISSN:2158-9178
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Energy will be a major limiting factor in future multi-core architectures, so optimizing performance per watt should be a key driver for next generation massive-core architectures. Recent studies show that heterogeneous chips integrating different core architectures, such as CPU and GPU, on a single die is the most promising solution. We investigated how energy efficiency and scalability are affected by the power constraints imposed on contemporary hybrid CPU-GPU processors. Analytical models were developed to extend Amdahl's Law by accounting for energy limitations before examining the three processing modes available to heterogeneous processors, i.e., symmetric, asymmetric, and simultaneous asymmetric. The analysis shows clearly that greater parallelism is the most important factor affecting power consumption.
AbstractList Energy will be a major limiting factor in future multi-core architectures, so optimizing performance per watt should be a key driver for next generation massive-core architectures. Recent studies show that heterogeneous chips integrating different core architectures, such as CPU and GPU, on a single die is the most promising solution. We investigated how energy efficiency and scalability are affected by the power constraints imposed on contemporary hybrid CPU-GPU processors. Analytical models were developed to extend Amdahl's Law by accounting for energy limitations before examining the three processing modes available to heterogeneous processors, i.e., symmetric, asymmetric, and simultaneous asymmetric. The analysis shows clearly that greater parallelism is the most important factor affecting power consumption.
Author Marowka, A.
Author_xml – sequence: 1
  givenname: A.
  surname: Marowka
  fullname: Marowka, A.
  email: amimar2@yahoo.com
  organization: Dept. of Comput. Sci., Bar-Ilan Univ., Ramat Gan, Israel
BookMark eNotjEFLwzAYQCNOcJu9efPSm6fWL0mb78txjOkGAwV3H2nyZVbWdrQd6r93oKcHj8ebiUnbtSzEvYRcSrBPm_e3Ra5AqrzAK5FYJEBjywJBltdiJguDWhotaSKmSpaUWYl0K5Jh-ASAiydrYSrU6nvkNtTtIV00wX0cH4d0677S2PXpmkfuuwO33J2HdNk1p_N4Ce_ETXTHgZN_zsXuebVbrrPt68tmudhmtYUx0yGQDYCIXsvKxKoyVLIHVp5dKIpYqVgg-WhQgXcYnVGepGLC6CmQnouHv23NzPtTXzeu_9kbRaAB9S-1IEhU
CODEN IEEPAD
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ISPA.2012.47
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 9780769547015
076954701X
EndPage 316
ExternalDocumentID 6280307
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ACGFS
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
M43
OCL
RIE
RIL
ID FETCH-LOGICAL-i90t-3dd89d0777c31b6fbb685ec0e2cead44fb2f478cf6720ca7fa62c812e87fc8d83
IEDL.DBID RIE
ISBN 1467316318
9781467316316
ISSN 2158-9178
IngestDate Wed Aug 27 04:58:40 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-3dd89d0777c31b6fbb685ec0e2cead44fb2f478cf6720ca7fa62c812e87fc8d83
PageCount 8
ParticipantIDs ieee_primary_6280307
PublicationCentury 2000
PublicationDate 2012-July
PublicationDateYYYYMMDD 2012-07-01
PublicationDate_xml – month: 07
  year: 2012
  text: 2012-July
PublicationDecade 2010
PublicationTitle 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications
PublicationTitleAbbrev ispa
PublicationYear 2012
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003188990
ssj0002672344
Score 1.5522847
Snippet Energy will be a major limiting factor in future multi-core architectures, so optimizing performance per watt should be a key driver for next generation...
SourceID ieee
SourceType Publisher
StartPage 309
SubjectTerms Analytical model
Analytical models
CPU-GPU architecture
Energy efficiency
Graphics processing unit
Mathematical model
Multicore processing
Power demand
Title Extending Amdahl's Law for Heterogeneous Computing
URI https://ieeexplore.ieee.org/document/6280307
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFA9zePA0dRO_yUHwYrY0zZL0OGRjwhgDd9ht5BMHuso-9N_3pa0VxIu3pk2gfXnhl778fu8hdGf7XgJOMEKFMYRry4nRIiEhiFQ4mhhe5pmdyOlULRbZrIEeai2M974gn_luvCzO8l1u9zFU1hOxlFKUjh9IKUutVh1PYUKytIKq2AZfhV-JGGIBUItrWqpC1yViqSZ4-J3uqWqLmhSf9Z6eZ4NI-mLdX0VXCswZtf73tseo8yPew7Malk5Qw69PUeu7egOuFnMbsWER_4Y-ePDm9Mvr_RZP9CeGXSweR5JMDr7l8_0Wl2OhYwfNR8P545hUFRTIKqM7kjqnMkfBWDZNjAjGCNX3lnpmwYE4D4YFLpUNYDtqtQxaMAuI75UMVjmVnqHmOl_7c4SDsE4bkwhBDTc-ZExnYGApDYUdUKIuUDtaYPle5shYVh9_-fftK3QU7VvSXq9Rc7fZ-xt0aD92q-3mtpjYL0wlnKU
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFA9jCnqauonf5iB4MVuaZkl6HLKxYR0Dd9ht5BMHuso-9N83absK4sVb0ybQvrzwS19-7_0AuNNdyz1OEISZUohKTZGSLELOsZgZHCla1JlN-XgsZrNkUgMPVS6MtTYnn9l2uMzP8k2mtyFU1mFBSimkju91KSVRka1VRVQI4yQuwSq0vbf6n4kQZPGwFlY1F3lmFwtiTf7hruBT2WYVLT7pjF4mvUD7Iu1fsis56gwa_3vfI9D6Sd-DkwqYjkHNLk9AY6ffAMvl3ASkn0fAfR_Yezfy9e1-DVP5Bf0-Fg4DTSbz3mWz7RoWY33HFpgO-tPHISo1FNAiwRsUGyMSgznnOo4Uc0ox0bUaW6K9C1HqFHGUC-287bCW3ElGtMd8K7jTwoj4FNSX2dKeAeiYNlKpiDGsqLIuITLxBuZcYb8HisQ5aAYLzD-KKhnz8uMv_r59Cw6G0-d0no7GT5fgMNi6IMFegfpmtbXXYF9_bhbr1U0-yd-qPp_s
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2012+IEEE+10th+International+Symposium+on+Parallel+and+Distributed+Processing+with+Applications&rft.atitle=Extending+Amdahl%27s+Law+for+Heterogeneous+Computing&rft.au=Marowka%2C+A.&rft.date=2012-07-01&rft.pub=IEEE&rft.isbn=1467316318&rft.issn=2158-9178&rft.spage=309&rft.epage=316&rft_id=info:doi/10.1109%2FISPA.2012.47&rft.externalDocID=6280307
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2158-9178&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2158-9178&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2158-9178&client=summon