Profiling Java programs for parallelism

Author

Hammacher, Clemens ; Streit, Kevin ; Hack, Sebastian ; Zeller, Andreas

Author_Institution

Dept. of Comput. Sci., Saarland Univ., Saarbrucken

fYear

2009

fDate

18-18 May 2009

Firstpage

49

Lastpage

55

Abstract

One of the biggest challenges imposed by multi-core architectures is how to exploit their potential for legacy systems not built with multiple cores in mind. By analyzing dynamic data dependences of a program run, one can identify independent computation paths that could have been handled by individual cores. Our prototype computes dynamic dependences for Java programs and recommends locations to the programmer with the highest potential for parallelization. Such measurements can also provide starting points for automatic, speculative parallelization.

Keywords

Java; multiprocessing systems; object-oriented programming; parallel programming; program diagnostics; software maintenance; software metrics; Java program; dynamic data dependency analysis; legacy system; multicore architecture; software measurement; speculative parallelization; Computer architecture; Computer hacking; Computer science; Concurrent computing; Data analysis; Java; Parallel processing; Programming profession; Prototypes; Scalability;

fLanguage

English

Publisher

ieee

Conference_Titel

Multicore Software Engineering, 2009. IWMSE '09. ICSE Workshop on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4244-3718-4

Type

conf

DOI

10.1109/IWMSE.2009.5071383

Filename

5071383