Power-aware applications for scientific cluster and distributed computing

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Paola Grosso, Curtis Hillegas, Burt Holzman, Ruben L. Janssen, Sander Klous, Robert Knight, Shahzad Muzaffar

Research output: Contribution to journalConference articlepeer-review


The aggregate power use of computing hardware is an important cost factor in scientific cluster and distributed computing systems. The Worldwide LHC Computing Grid (WLCG) is a major example of such a distributed computing system, used primarily for high throughput computing (HTC) applications. It has a computing capacity and power consumption rivaling that of the largest supercomputers. The computing capacity required from this system is also expected to grow over the next decade. Optimizing the power utilization and cost of such systems is thus of great interest. A number of trends currently underway will provide new opportunities for power-aware optimizations. We discuss how power-aware software applications and scheduling might be used to reduce power consumption, both as autonomous entities and as part of a (globally) distributed system. As concrete examples of computing centers we provide information on the large HEP-focused Tier-1 at FNAL, and the Tigress High Performance Computing Center at Princeton University, which provides HPC resources in a university context.

Original languageEnglish (US)
Article number018
JournalProceedings of Science
StatePublished - 2014
EventInternational Symposium on Grids and Clouds, ISGC 2014 - Taipei, Taiwan, Province of China
Duration: Mar 23 2014Mar 28 2014

All Science Journal Classification (ASJC) codes

  • General


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