The Community for Technology Leaders
RSS Icon
Subscribe
Rome
May 23, 2009 to May 29, 2009
ISBN: 978-1-4244-3751-1
pp: 1-8
Gregory R. Watson , IBM T.J. Watson Research Center, USA
Craig E. Rasmussen , Los Alamos National Laboratory, USA
Beth R. Tibbitts , IBM T.J. Watson Research Center, USA
ABSTRACT
The development of parallel applications is becoming increasingly important to a broad range of industries. Traditionally, parallel programming was a niche area that was primarily exploited by scientists trying to model extremely complicated physical phenomenon. It is becoming increasingly clear, however, that continued hardware performance improvements through clock scaling and feature-size reduction are simply not going to be achievable for much longer. The hardware vendor's approach to addressing this issue is to employ parallelism through multi-processor and multi-core technologies. While there is little doubt that this approach produces scaling improvements, there are still many significant hurdles to be overcome before parallelism can be employed as a general replacement to more traditional programming techniques. The Parallel Tools Platform (PTP) Project was created in 2005 in an attempt to provide developers with new tools aimed at addressing some of the parallel development issues. Since then, the introduction of a new generation of peta-scale and multi-core systems has highlighted the need for such a platform. In this paper, we describe some of the challenges facing parallel application developers, present the current state of PTP, and provide a simple case study that demonstrates how PTP can be used to locate a potential deadlock situation in an MPI code.
CITATION
Gregory R. Watson, Craig E. Rasmussen, Beth R. Tibbitts, "An integrated approach to improving the parallel application development process", IPDPS, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2009 IEEE International Symposium on Parallel & Distributed Processing (IPDPS) 2009, pp. 1-8, doi:10.1109/IPDPS.2009.5160941
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool