Metrics and Benchmarking for Parallel Job Scheduling
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
What is worth learning from parallel workloads?: a user and session based analysis
Proceedings of the 19th annual international conference on Supercomputing
Cyberinfrastructure Usage Modalities on the TeraGrid
IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
Measuring TeraGrid: workload characterization for a high-performance computing federation
International Journal of High Performance Computing Applications
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The XSEDE user community is often assumed to be dominated by a (mostly) fixed set of users in a largely static pecking order. This assumption is based primarily on anecdotal experience but often the only quantitative data are the consistent patterns of overall resource consumption observed at many time scales. The XSEDE accounting system offers a unique opportunity to study consumption patterns over time by project teams and individuals. This analysis shows some tendency for larger-scale consumers to remain among the larger-scale consumers; however, the XSEDE user community is much more dynamic than often assumed. In addition, small-scale user behavior over time differs distinctly from large-scale user behavior, with the "long tail" more often comprised of short-lived projects. We define a number of metrics for describing these patterns and consider their implications for the outreach activities and user support within XSEDE and other HPC environments.