The Enterprise Model for Developing Distributed Applications
IEEE Parallel & Distributed Technology: Systems & Technology
Visual Programming and Debugging for Parallel Computing
IEEE Parallel & Distributed Technology: Systems & Technology
Modeling master/worker applications for automatic performance tuning
Parallel Computing - Algorithmic skeletons
Dynamic performance tuning of distributed programming libraries
ICCS'03 Proceedings of the 2003 international conference on Computational science
Modeling pipeline applications in POETRIES
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Hi-index | 0.00 |
Performance analysis and tuning of parallel/distributed applications are very difficult tasks for non-expert programmers. It is necessary to provide tools that automatically carry out these tasks. These can be static tools that carry out the analysis on a post-mortem phase or can tune the application on the fly. Both kind of tools have their target applications. Static automatic analysis tools are suitable for stable application while dynamic tuning tools are more appropriate to applications with dynamic behaviour. In this paper, we describe KappaPi as an example of a static automatic performance analysis tool, and also a general environment based on parallel patterns for developing and dynamically tuning parallel/distributed applications.