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Automatic parallelization of programming languages: past, present and future

Published: 01 May 2010 Publication History

Abstract

Automatic parallelization of modern object-oriented languages, like Java, C#, Python or JavaScript, is considered to be a grand challenge. But what is the challenge exactly? Let us simplify the discussion by focusing on loop parallelization only. As usual loop parallelization requires answering two questions: (1) is it worthwhile to parallelize a loop? (2) is it safe to parallelize a loop?

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  • (2022)A Survey of Performance Tuning Techniques and Tools for Parallel ApplicationsIEEE Access10.1109/ACCESS.2022.314784610(15036-15055)Online publication date: 2022
  • (2019)A study on popular auto‐parallelization frameworksConcurrency and Computation: Practice and Experience10.1002/cpe.516831:17Online publication date: 11-Feb-2019
  • (2018)PETRAInternational Journal of Parallel Programming10.1007/s10766-014-0307-843:4(549-571)Online publication date: 28-Dec-2018

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cover image ACM Conferences
IWMSE '10: Proceedings of the 3rd International Workshop on Multicore Software Engineering
May 2010
72 pages
ISBN:9781605589640
DOI:10.1145/1808954
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 May 2010

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Cited By

View all
  • (2022)A Survey of Performance Tuning Techniques and Tools for Parallel ApplicationsIEEE Access10.1109/ACCESS.2022.314784610(15036-15055)Online publication date: 2022
  • (2019)A study on popular auto‐parallelization frameworksConcurrency and Computation: Practice and Experience10.1002/cpe.516831:17Online publication date: 11-Feb-2019
  • (2018)PETRAInternational Journal of Parallel Programming10.1007/s10766-014-0307-843:4(549-571)Online publication date: 28-Dec-2018

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