By Topic

Containers on the parallelization of general-purpose Java programs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Peng Wu ; Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA ; Padua, D.

Automatic parallelization of general-purpose programs is still not possible in general in the presence of irregular data structures and complex control-flows. One promising strategy is tread-level data speculation (TLDS). Although TLDS alleviates the need of proving independent computations statically, studies showed that applying TLDS blindly to programs with limited speculative parallelism may lead to performance degradation. Therefore, a positive approach is to combine TLDS with strong compiler analyses. The compiler can provide a guideline of where to speculate by “lazily” detecting some dependences and leave dependences that are more dynamic to be detected at runtime. Furthermore, transformations can be applied to eliminate some of the dependences detected by the compiler to enhance speculative parallelism in the program. We propose compiler techniques to implement this approach. In particular, we focus on general-purpose Java programs with extensive use of containers that refer to any general-purpose aggregate data structures

Published in:

Parallel Architectures and Compilation Techniques, 1999. Proceedings. 1999 International Conference on

Date of Conference:

1999