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Software decomposition for multicore architectures

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Date Issued:
2006
Summary:
Current multicore processors attempt to optimize consumer experience via task partitioning and concurrent execution of these (sub)tasks on the cores. Conversion of sequential code to parallel and concurrent code is neither easy, nor feasible with current methodologies. We have developed a mapping process that synergistically uses top-down and bottom-up methodologies. This process is amenable to automation. We use bottom-up analysis to determine decomposability and estimate computation and communication metrics. The outcome is a set of proposals for software decomposition. We then build abstract concurrent models that map these decomposed (abstract) software modules onto candidate multicore architectures; this resolves concurrency issues. We then perform a system level simulation to estimate concurrency gain and/or cost, and QOS (Qualify-of-Service) metrics. Different architectural combinations yield different QOS metrics; the requisite system architecture may then be chosen. We applied this 'middle-out' methodology to optimally map a digital camera application onto a processor with four cores.
Title: Software decomposition for multicore architectures.
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Name(s): Jain, Ankit.
Florida Atlantic University, Degree grantor
Shankar, Ravi, Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2006
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 327 p.
Language(s): English
Summary: Current multicore processors attempt to optimize consumer experience via task partitioning and concurrent execution of these (sub)tasks on the cores. Conversion of sequential code to parallel and concurrent code is neither easy, nor feasible with current methodologies. We have developed a mapping process that synergistically uses top-down and bottom-up methodologies. This process is amenable to automation. We use bottom-up analysis to determine decomposability and estimate computation and communication metrics. The outcome is a set of proposals for software decomposition. We then build abstract concurrent models that map these decomposed (abstract) software modules onto candidate multicore architectures; this resolves concurrency issues. We then perform a system level simulation to estimate concurrency gain and/or cost, and QOS (Qualify-of-Service) metrics. Different architectural combinations yield different QOS metrics; the requisite system architecture may then be chosen. We applied this 'middle-out' methodology to optimally map a digital camera application onto a processor with four cores.
Identifier: 9780542579295 (isbn), 13349 (digitool), FADT13349 (IID), fau:10199 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 2006.
Subject(s): Optimal designs (Statistics)
Software architecture
Software engineering
Computer architecture
System design
Computer networks--Security measures
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/13349
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.