Towards concurrency refactoring for x10

Authors:
Shane A. Markstrum;Robert M. Fuhrer;Todd D. Millstein
Affiliations:
University of California, Los Angeles, Los Angeles, CA, USA;IBM T.J. Watson Research Center, Hawthorne, NY, USA;University of California, Los Angeles, Los Angeles, CA, USA
Venue:
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
Year:
2009

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Abstract

In this poster, we present our vision of refactoring support for languages with a partitioned global address space memory model as embodied in the X10 programming language. We examine a novel refactoring, extract concurrent, that introduces additional concurrency within a loop by arranging for some user-selected code in the loop body to run in parallel with other iterations of the loop. We discuss the mechanisms and challenges for implementing this refactoring and how development of this refactoring provides insight for designing future refactorings.