Yemliha, T.Srikantaiah, S.Kandemir, M.Öztürk, Özcan2016-02-082016-02-082008-11http://hdl.handle.net/11693/26756Date of Conference: 10-13 Nov. 2008Conference name: 2008 IEEE/ACM International Conference on Computer-Aided DesignLeveraging 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%.EnglishAccess patternsApplication programsCompiler analysisData accessesDynamic predictionsManagement schemesManagement techniquesMarkov chainsMaximum performancesOptimizing compilersScalar valuesScratchpad memoriesComputer aided designEmbedded systemsIndustrial managementIntegrated circuitsMarkov processesPaperProgram compilersStatistical process controlSelf phase modulationConference Paper10.1109/ICCAD.2008.4681632