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Cronus: A platform for parallel code generation based on computational geometry methods

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dc.contributor.author Andronikos, T en
dc.contributor.author Ciorba, FM en
dc.contributor.author Theodoropoulos, P en
dc.contributor.author Kamenopoulos, D en
dc.contributor.author Papakonstantinou, G en
dc.date.accessioned 2014-03-01T01:28:05Z
dc.date.available 2014-03-01T01:28:05Z
dc.date.issued 2008 en
dc.identifier.issn 0164-1212 en
dc.identifier.uri http://hdl.handle.net/123456789/18706
dc.subject Code generation en
dc.subject Dynamic scheduling en
dc.subject General loops en
dc.subject Shared and distributed memory architectures en
dc.subject.classification Computer Science, Software Engineering en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Chlorine compounds en
dc.subject.other Codes (standards) en
dc.subject.other Codes (symbols) en
dc.subject.other Computational geometry en
dc.subject.other Motion estimation en
dc.subject.other Scheduling en
dc.subject.other Testing en
dc.subject.other Case studies en
dc.subject.other Code generation en
dc.subject.other Communication minimization en
dc.subject.other Data locality en
dc.subject.other Dithering algorithms en
dc.subject.other Dynamic scheduling en
dc.subject.other Extensive testing en
dc.subject.other General loops en
dc.subject.other Generic systems en
dc.subject.other Loop-carried dependencies en
dc.subject.other Makespan en
dc.subject.other Motion estimation algorithms en
dc.subject.other Nested Loops en
dc.subject.other Optimal scheduling en
dc.subject.other Parallel coding en
dc.subject.other Parallelizing en
dc.subject.other Run-time libraries en
dc.subject.other Run-time scheduling en
dc.subject.other Scheduling policies en
dc.subject.other Shared and distributed memory architectures en
dc.subject.other Shared-memory systems en
dc.subject.other Test cases en
dc.subject.other Transitive closures en
dc.subject.other Scheduling algorithms en
dc.title Cronus: A platform for parallel code generation based on computational geometry methods en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jss.2007.11.715 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.jss.2007.11.715 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract This paper describes CRONUS, a platform for parallelizing general nested loops. General nested loops contain complex loop bodies (assignments, conditionals, repetitions) and exhibit uniform loop-carried dependencies. The novelty Of CRONUS is twofold: ( 1) it determines the optimal scheduling hyperplane using the QuickHull algorithm, which is more efficient than previously used methods, and (2) it implements a simple and efficient dynamic rule (successive dynamic scheduling) for the runtime scheduling of the loop iterations along the optimal hyperplane. This scheduling policy enhances data locality and improves the makespan. CRONUS provides an efficient runtime library, specifically designed for communication minimization, that performs better than more generic systems, such as Berkeley UPC. Its performance was evaluated through extensive testing. Three representative case studies are examined: the Floyd-Steinberg dithering algorithm, the Transitive Closure algorithm, and the FSBM motion estimation algorithm. The experimental results corroborate the efficiency of the parallel code. The tests show speedup ranging from 1.18 (Out of the ideal 4) to 12.29 (Out of the ideal 16) on distributed-systems and 3.60 (out of 4) to 15.79 (out of 16) on shared-memory systems. CRONUS Outperforms UPC by 5-95% depending on the test case. (C) 2007 Elsevier Inc. All rights reserved. en
heal.publisher ELSEVIER SCIENCE INC en
heal.journalName Journal of Systems and Software en
dc.identifier.doi 10.1016/j.jss.2007.11.715 en
dc.identifier.isi ISI:000258800900009 en
dc.identifier.volume 81 en
dc.identifier.issue 8 en
dc.identifier.spage 1389 en
dc.identifier.epage 1405 en


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