By Topic

Characterization of Java applications at bytecode and ultra-SPARC machine code levels

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
$33 $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

3 Author(s)
R. Radhakrishnan ; Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA ; J. Rubio ; L. K. John

The paper identifies some of the most important execution characteristics of a recent suite of Java benchmarks (SPEC JVM98) from a bytecode perspective and while running in an interpreted environment on the Sun Ultra SPARC-II. We instrumented the Java Virtual Machine (JVM) to obtain detailed traces and developed a Java bytecode analyzer environment called Jaba to characterize the applications at the bytecode level. Utilizing Jaba and SPARC profiling tools, we analyze bytecode locality, instruction mix and dynamic method sizes. It is observed that less than 45 out of the 250 Java bytecodes constitute 90% of the bytecode stream. A tri-nodal distribution with peaks of 1, 10 and 27 bytecodes is observed for method size across all benchmarks in the JVM98 suite. For most of the applications, one bytecode is seen to translate into approximately 25 SPARC instructions

Published in:

Computer Design, 1999. (ICCD '99) International Conference on

Date of Conference: