By Topic

Evaluation of P3T+: a performance estimator for distributed and parallel applications

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

4 Author(s)
Fahringer, T. ; Inst. of Software Technol. & Parallel Syst., Tech. Univ. Wien, Austria ; Pozgaj, A. ; Luitz, J. ; Moritsch, H.

In this paper, we report on experiences with P3T+, a performance estimator for distributed and parallel programs which is used to examine at compile time the performance outcome of changes in code, problem and machine sizes, and target architectures. P3T+ computes a variety of performance parameters including work distribution, number of transfers, amount of data transferred, transfer times, computation times, and number of cache misses. It is unique in that it models programs, code transformations and parallel and distributed architectures and derives a performance prediction based on all three of these elements. P3T+ is the successor tool of P 3T which computed a similar set of performance parameters, however for parallel programs only. P3T+ has been re-designed and re-implemented from scratch and goes beyond P3T by extending the class of programs that cart be handled and by employing several novel estimation methods (symbolic analysis, simulation, pre-measured kernel codes, etc.). The core part of this paper reports on the evaluation of P3T+ to demonstrate both accuracy and usefulness of this tool for realistic kernel codes taken from real-world applications (pricing of financial derivatives and quantum mechanical calculations of solids)

Published in:

Parallel and Distributed Processing Symposium, 2000. IPDPS 2000. Proceedings. 14th International

Date of Conference: