An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources

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Student
Berkhahn, Jonathan Allen
Degree
MS
Defense date
2013-06-06
Department
Computer Science and Applications
Commitee
Butt, Ali R. A., Chair
Kim, Byoung-Do, Member
Cao, Yong, Member
Abstract
Cloud computing setups are a huge investment of resources and personnel to maintain. As<br />the workload on a system is a major contributing factor to both the performance of the<br />system and a representation of the needs of system users, a clear understanding of the<br />workload is critical to organizations that support supercomputing systems. In this paper,<br />we analyze traces from two production level supercomputers to infer the characteristics of<br />their workloads, and make observations as to the needs of supercomputer users based on<br />them. We particularly focus on the usage of graphical processing units by domain<br />scientists. Based on this analysis, we generate a synthetic workload that can be used for<br />testing future systems, and make observations as to e"cient resource provisioning.
ETD Page
http://hdl.handle.net/10919/23172

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