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SBIR Phase II: Speculative Compilation for Energy Efficiency

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0348966
Agency Tracking Number: 0231492
Amount: $500,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2004
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
28 Dana Street
Amherst, MA 01002
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Csaba Moritz
 PI
 (413) 545-2442
 andras@bluerisc.com
Business Contact
 Csaba Moritz
Phone: (413) 545-2442
Email: andras@bluerisc.com
Research Institution
N/A
Abstract

This SBIR Phase II project will develop energy-aware compiler techniques to reduce power and energy consumption in microprocessors, without affecting performance. Over the past few years, energy consumption by computers has emerged as a major area of intellectual and commercial activity. A key principle behind this approach is to use speculative information available at compile time to reduce power and energy consumption. The key qualifier is speculative: the information does not have to be provably correct. Speculative information that turns out to be correct will enhance energy reduction; if it is incorrect, the worst that will happen is that a penalty (in terms of energy) will have to be paid. The use of such speculative compile-time information opens up a largely unexplored dimension in compilers and computer architectures, to target energy efficiency.

The outcome of the proposed effort will not merely be a set of products, but also a vastly increased understanding of the means by which compile-time information can be exploited for energy savings. It is expected that this development effort will have a considerable impact on the theoretical underpinnings of compilers and compiler-architecture interaction, as well as a significant commercial impact. With the increasing prevalence of battery-powered computing devices such as PDAs, mobile telephones, and notebooks, power-aware computing is becoming increasingly important commercially.

* Information listed above is at the time of submission. *

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