By Topic

Performance evaluation of some MPI implementations on workstation clusters

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)
Zhixin Ba ; High Performance Comput. Center, Tsinghua Univ., Beijing, China ; Haichang Zhou ; Huai Zhang ; Zhenxiao Yang

The Message Passing Interface (MPI) has already become a standard of the communication library for distributed-memory computing systems. Since the release of the new versions of MPI specification, several MPI implementations have been made publicly available. Different implementations employ different approaches. It is critical to selecting an appropriate MPI implementation for message passing based applications, because performance of communication is extremely crucial to these applications. Our study is intended to provide a guideline on how to submit a task and how to perform such a task, economically and effectively, on workstation clusters in high performance computing. We investigate several MPI aspects including its implementations, supporting hardware environment and derived datatype which affect the communication performance. In the end, our results point out the strength and weakness of different implementations on our experimental system.

Published in:

High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on  (Volume:1 )

Date of Conference:

14-17 May 2000