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» Scalable Performance Analysis of Parallel Systems: Concepts ...
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IPPS
2006
IEEE
14 years 1 months ago
Easy and reliable cluster management: the self-management experience of Fire Phoenix
High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...
ICCS
2003
Springer
14 years 21 days ago
Performance Instrumentation and Measurement for Terascale Systems
As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this ma...
Jack Dongarra, Allen D. Malony, Shirley Moore, Phi...
EUROPAR
2007
Springer
14 years 1 months ago
TAUoverSupermon : Low-Overhead Online Parallel Performance Monitoring
Online application performance monitoring allows tracking performance characteristics during execution as opposed to doing so post-mortem. This opens up several possibilities other...
Aroon Nataraj, Matthew J. Sottile, Alan Morris, Al...
IPPS
1996
IEEE
13 years 11 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...
HIPC
2009
Springer
13 years 5 months ago
Continuous performance monitoring for large-scale parallel applications
Traditional performance analysis techniques are performed after a parallel program has completed. In this paper, we describe an online method for continuously monitoring the perfor...
Isaac Dooley, Chee Wai Lee, Laxmikant V. Kal&eacut...