Need to save a little energy?

Not everyone has a supercomputer lying around, especially an idle one, but if you have a high performance system and are looking to save some energy without losing much performance, Los Alamos National Laboratory might have the solution. With the use of EnergyFit 1.0, LANL is claiming a potential 10-25% energy savings in system energy consumption. According to this mobile piece from, EnergyFit is

a transparent software layer based on a novel algorithm that reduces the power and energy consumption of high-performance computing systems.

Developed by Chung-Hsing Hsu and Wu-chun Feng at LANL, this software is another approach to addressing the enormous energy consumption and heat distribution of multiple processor architectures. Reducing the amount of energy used and consequent head produced by big machines leads, among other things, to a decrease in MTBF (mean time between failure) of processors and an increase in overall system reliability.

More information about power consumption and savings on large systems can be found in this Computerworld article.

Comments are closed.

The moderators and/or administrators of this weblog reserve the right to edit or delete ANY content that appears on the site. In other words, the moderators and administrators have complete discretion over the removal of any content deemed by them to be inappropriate, in full or in part.

Any opinions expressed on this site belong to their respective authors and are not necessarily shared by the sponsoring institutions or the National Science Foundation.

Any trademarks or trade names, registered or otherwise, that appear on this site are the property of their respective owners and, unless noted, do not represent endorsement by the editors, publishers, sponsoring institutions, the National Science Foundation, or any other member of the CTWatch team.

No guarantee is granted by CTWatch that information appearing in the Blog is complete or accurate. Information on this site is not intended for commercial purposes.