Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Integrated architectural application characterization tools for comparative assessment of parallel systems

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

8 Author(s)
Pease, D. ; Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA ; Ghafoor, A. ; Ahmad, I. ; Andrews, D.
more authors

PAWS (Parallel Assessment Window System) is an experimental research tool currently operational at Syracuse University that provides a single unified environment for performing application specific analysis for existing, prototype, and conceptual machine architectures. The flexibility of the system allows comparisons among vastly different machine architectures running a common application. PAWS consists of four tools; an application characterization tool, an architecture characterization tool, an interactive graphic display tool (IGDT), and a performance assessment tool (PAT). Using the application characterization tool, Ada programs are transformed into machine independent data flow graphs and displayed showing the parallelism contained in the application to the user. These graphs are partitioned onto a target machine, based on that machine's attributes, which are created and stored using the architectural characterization tool. Profile plots are generated showing both the parallelism of the partitioned graph, and the predicted parallelism of the application

Published in:

System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on  (Volume:i )

Date of Conference:

8-11 Jan 1991