Power-aware applications for scientific cluster and distributed computing [article]

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Paola Grosso, Curtis Hillegas, Burt Holzman, Ruben L. Janssen, Sander Klous, Robert Knight, Shahzad Muzaffar
2014 arXiv   pre-print
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
more » ... 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.
arXiv:1404.6929v2 fatcat:op74jfffafhyjbxgu42u3xnzai