View in EDS

Decoupled Control and Data Processing for Approximate Near-Threshold Voltage Computing.

Saved in:
Bibliographic Details
Title: Decoupled Control and Data Processing for Approximate Near-Threshold Voltage Computing.
Authors: Akturk, Ismail1, Kim, Nam Sung2, Karpuzcu, Ulya R.1
Source: IEEE Micro. Jul2015, Vol. 35 Issue 4, p70-78. 9p.
Subjects: Computer systems, Electric potential, Electronic data processing, Algorithms, Computer programming
Abstract: Near-threshold voltage computing can significantly improve energy efficiency; however, both operating speed and resilience to parametric variation reduce as the operating voltage reaches the threshold voltage. To prevent degradation in throughput performance, more cores should contribute to computation. The corresponding expansion in the chip area, however, is likely to further exacerbate the already intensified vulnerability to variation. Variation itself results in slower cores and ample speed differences among the cores. Worse, variation-induced slowdown might prevent operation at the designated clock speed, leading to timing errors. In this article, the authors exploit the intrinsic error tolerance of emerging Recognition, Mining, and Synthesis applications to mitigate variation. RMS applications can tolerate errors emanating from data-intensive program phases as opposed to control. Accordingly, the authors reserve reliable cores for control, and they execute error-tolerant data-intensive phases on error-prone cores. They also provide a design space exploration for decoupled control and data processing to mitigate variation at near-threshold voltages. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Micro is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 108843715
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Decoupled Control and Data Processing for Approximate Near-Threshold Voltage Computing.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Akturk%2C+Ismail%22">Akturk, Ismail</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Nam+Sung%22">Kim, Nam Sung</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Karpuzcu%2C+Ulya+R%2E%22">Karpuzcu, Ulya R.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22IEEE+Micro%22">IEEE Micro</searchLink>. Jul2015, Vol. 35 Issue 4, p70-78. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+potential%22">Electric potential</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Near-threshold voltage computing can significantly improve energy efficiency; however, both operating speed and resilience to parametric variation reduce as the operating voltage reaches the threshold voltage. To prevent degradation in throughput performance, more cores should contribute to computation. The corresponding expansion in the chip area, however, is likely to further exacerbate the already intensified vulnerability to variation. Variation itself results in slower cores and ample speed differences among the cores. Worse, variation-induced slowdown might prevent operation at the designated clock speed, leading to timing errors. In this article, the authors exploit the intrinsic error tolerance of emerging Recognition, Mining, and Synthesis applications to mitigate variation. RMS applications can tolerate errors emanating from data-intensive program phases as opposed to control. Accordingly, the authors reserve reliable cores for control, and they execute error-tolerant data-intensive phases on error-prone cores. They also provide a design space exploration for decoupled control and data processing to mitigate variation at near-threshold voltages. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Micro is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=108843715
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/MM.2015.85
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 70
    Subjects:
      – SubjectFull: Computer systems
        Type: general
      – SubjectFull: Electric potential
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Computer programming
        Type: general
    Titles:
      – TitleFull: Decoupled Control and Data Processing for Approximate Near-Threshold Voltage Computing.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Akturk, Ismail
      – PersonEntity:
          Name:
            NameFull: Kim, Nam Sung
      – PersonEntity:
          Name:
            NameFull: Karpuzcu, Ulya R.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 02721732
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: IEEE Micro
              Type: main
ResultId 1