|
USENIX Technical Program - Abstract - COOTS 99
Tuning Branch Predictors to Support Virtual Method Invocation in Java
N. Vijaykrishnan, Pennsylvania State University; N. Ranganathan, University of Texas at El Paso
Abstract
Java's object oriented nature along with its distributed nature
make it a good choice for network computing. The use of virtual methods associated with
Java's object oriented behavior requires accurate target prediction for indirect branches.
This is critical to the performance of Java applications executed on
deeply pipelined, wide issue processors. In this paper, we investigate the use of a path
history based predictor to accurately determine the target of these virtual methods.
The effect of varying the various parameters of the predictor on the misprediction rates
is studied using various Java benchmarks.
Results from this study show that the execution of Java code will benefit from more sophisticated
branch-predictors.
- View the full text of this paper in
HTML form and
PDF form.
- If you need the latest Adobe Acrobat Reader, you can download it from Adobe's site.
- To become a USENIX Member, please see our Membership Information.
|
Need help? Use our Contacts page.
Technical Program