SPM management using markov chain based data access prediction

Taylan Yemliha, Shekhar Srikantaiah, Mahmut Kandemir, Ozean Ozturk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular accesses like scalar values and array expressions with affine subscript functions have been tractable for compiler analysis (to be prefetched into SPM), irregular accesses like pointer accesses and indexed array accesses have not been easily amenable for compiler analysis. This paper presents an SPM management technique using Markov chain based data access prediction for such irregular accesses. Our approach takes advantage of inherent, but hidden reuse in data accesses made by irregular references. We have implemented our proposed approach using an optimizing compiler. In this paper, we also present a thorough comparison of our different dynamic prediction schemes with other SPM management schemes. SPM management using our approaches produces 12.7% to 28.5% improvements in performance across a range of applications with both regular and irregular access patterns, with an average improvement of 20.8%.

Original languageEnglish (US)
Title of host publication2008 IEEE/ACM International Conference on Computer-Aided Design Digest of Technical Papers, ICCAD 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781424428205
StatePublished - 2008
Event2008 International Conference on Computer-Aided Design, ICCAD - San Jose, CA, United States
Duration: Nov 10 2008Nov 13 2008

Publication series

NameIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)1092-3152


Other2008 International Conference on Computer-Aided Design, ICCAD
Country/TerritoryUnited States
CitySan Jose, CA

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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