The workload on parallel supercomputers: modeling the characteristics of rigid jobs
Journal of Parallel and Distributed Computing
Benefits of Global Grid Computing for Job Scheduling
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Job Superscheduler Architecture and Performance in Computational Grid Environments
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
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Proceedings of the 19th annual international conference on Supercomputing
Analysis of Jobs in a Multi-Organizational Grid Test-bed
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Metrics for Mass-Count Disparity
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
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GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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State of the Practice Reports
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Proceedings of the 26th ACM international conference on Supercomputing
Longitudinal user and usage patterns in the XSEDE user community
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit
A survey of task mapping on production grids
ACM Computing Surveys (CSUR)
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Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Optimizing utilization across XSEDE platforms
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
NCAR storage accounting and analysis possibilities
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Toward fine-grained online task characteristics estimation in scientific workflows
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
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TeraGrid has deployed a significant monitoring and accounting infrastructure in order to understand its operational success. In this paper, we present an analysis of the jobs reported by TeraGrid for 2008. We consider the workload from several perspectives: traditional high-performance computing (HPC) workload characteristics; grid-oriented workload characteristics; and finally user- and group-oriented characteristics. We use metrics reported in prior studies of HPC and grid systems in order to understand whether such metrics provide useful information for managing and studying resource federations. This study highlights the importance of distinguishing between analyses of job patterns and work patterns; that small sets of users dominate the workload both in terms of job and work patterns; and that aggregate analyses across even loosely coupled federations, with incomplete information for individual systems, reflect patterns seen in more tightly coupled grids and in single HPC systems.