Tuesday, December 15, 2009

Energy Efficient Computing on Multiple Scales

"Energy is one of the key issues to be solved in order for systems to work more efficiently," said UC San Diego Jacobs School of Engineering professor Tajana Simunic Rosing, who is leading MuSyC's Large-Scale Systems effort. "At a very small scale such as a brain-machine interface, without energy you cannot do anything at all. At a very large scale such as a data center, if you are not efficient about how you deal with energy, you go bankrupt."

This quote is from a Calit2 press release announcing Jacobs School computer science professor Tajana Simunic Rosing as one of the leaders of a new research center charged with finding ways to improve the design of computing systems ranging from large data centers to tiny brain sensors. In its first three years, the Multi-Scale Systems Center (MuSyC) will focus on tackling a critical issue affecting multiple scales: energy efficiency.

Doug Ramsey from Calit2 wrote the story. Read the full story on the Jacobs School of Engineering Web site, or on the Calit2 Web site.
Caption for above photo: MuSyC investigators at UCSD, pictured in front of Calit2's GreenLight Instrument modular data center, include (l-r) Rajesh Gupta, Tajana Simunic Rosing and Amin Vadhat. (Not pictured: SDSC's Allan Snavely)
I briefly covered this announcement in a story about Tajana Simunic Rosing's work on energy-efficient data centers in the latest Jacobs School alumni magazine, Pulse.

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