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Abstract

The drive for performance in parallel computing and the need to evaluate platform upgrades or replacements are major reasons frequent running of benchmark codes has become commonplace for application and platform evaluation and tuning. NIST is developing a prototype for an automated benchmarking toolset to reduce the manual effort in running and analyzing the results of such benchmarks. Our toolset consists of three main modules. A Data Collection and Storage module handles the collection of performance data and implements a central repository for such data. Another module provides an integrated mechanism to analyze and visualize the data stored in the repository. An Experiment Control Module assists the user in designing and executing experiments. To reduce the development effort this toolset is built around existing tools and is designed to be easily extensible to support other tools.

Keywords  Cluster computing - data collection - database - performance measurement - performance analysis - queuing system - visualization

This NIST contribution is not subject to copyright in the United States. Certain commercial items may be identified but that does not imply recommendation or endorsement by NIST, nor does it imply that those items are necessarily the best available.
Visiting scientist from University of Maryland, UMIACS.
Guest researcher from the Institut National des Télécommunications, France.

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