SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre
Chris Loken(University of Toronto), Daniel Gruner(University of Toronto), L. Groer(University of Toronto), Richard Peltier(University of Toronto), Neil Bunn(IBM (United States)), Michael Craig(IBM (United States)), Teresa Henriques(University of Toronto), J.L. Dempsey(University of Toronto), Ching-Hsing Yu(University of Toronto), Joseph S. Chen(University of Toronto), Lewis Jonathan Dursi(University of Toronto), J. Kenneth Chong(University of Toronto), Scott Northrup(University of Toronto), Jaime Pinto(University of Toronto), N. S. Knecht(University of Toronto), Ramses van Zon(University of Toronto)
Cited by 515Open Access
Abstract
SciNet, one of seven regional HPC consortia operating under the Compute Canada umbrella, runs Canada's first and third fastest computers (as of June 2010) in a state-of-the-art, highly energy-efficient datacentre with a Power Usage Effectiveness (PUE) design-point of 1.16. Power efficiency, computational "bang for the buck" and system capability for a handful of flagship science projects were important criteria in choosing the nature of the computers and the data centre itself. Here we outline some of the lessons learned in putting together the systems and the data centre that hosts Canada's fastest computer to date.
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