Power Efficient Supercomputing

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$125,009.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
DE-FG02-11ER90007
Award Id:
n/a
Agency Tracking Number:
97412
Solicitation Year:
2011
Solicitation Topic Code:
35 d
Solicitation Number:
DE-FOA-0000413
Small Business Information
16 Cavendish Ct., Suite 2F, Lebanon, NH, 03766-1441
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
802822192
Principal Investigator:
AndrewFelch
Mr.
(949) 783-0201
andrew@cognitive-electronics.com
Business Contact:
ThomasDougherty
Mr.
(646) 200-5085
mac@cognitive-electronics.com
Research Institute:
Stub




Abstract
The search for new scientific knowledge is now driven in large part by supercomputers, and demand for new supercomputers continues to increase such that overall performance is limited by the amount of power and cooling capacity available. The problem is such that the high performance computing needed to study the environment is itself changing the environment by drawing from our energy resources. Supercomputers based on commodity servers are not optimized for the purpose, but specialized hardware can achieve superior power efficiency, though often at the sacrifice of programmability or other features. Cognitive Electronics has invented a new type of supercomputing system capable of dramatically increasing the performance of existing high performance software while decreasing power consumption. Cognitive Electronics desires to complete a prototype (Phase I) and fully develop its first supercomputer (Phase II) in order to sell cloud computing time, in the form of virtual clusters, at much greater scale and lower cost than is otherwise available. Commercial Applications and Other Benefits: Supercomputers with improved power efficiency promise many advancements including higher total performance, providing the ability to detect dangerous weather earlier and with more accuracy, achieve higher probability of finding cures for diseases, and better observe risk in financial systems.

* information listed above is at the time of submission.

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