Categories and context in scalable execution visualization
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
Performance technology for complex parallel and distributed systems
Distributed and parallel systems
Pajé: An Extensible Environment for Visualizing Multi-threaded Programs Executions
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Flexible performance visualization of parallel and distributed applications
Future Generation Computer Systems - Tools for program development and analysis
The Cluster Monitoring & Controlling Method with Scalable Communication Framework
HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
MASIPE: a tool based on mobile agents for monitoring parallel environments
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
| Hi-index | 0.00 |
We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Real use includes performance analysis of parallel applications and cluster administration. Ka-admin includes a generic "filter" module that processes monitored data independently of what they represent. Filters can remove, aggregate and transform data or pass them to external applications. The end user is responsible for activating the filters from within an interactive graphical interface. This allows him to focus on important information. We also present a "scatter/gather" module that allows efficient collection and distribution of data and commands in a large cluster. Early work on "MPI/threads" applications and system monitoring tools proved that the combination of both modules matches the objective of a scalable visualization of large data sets.