SBIR/STTR Research Award

SBIR Phase I: Speculative Compilation for Energy Efficency

Award identifier b0e627e1a1c2ff865b9afa771a4a9e5bd09a7f80045a2683f3bd726cca05a0a8Awarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
BLUERISC INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
LVWLKDJURJL1
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research Phase I project will outline a plan to commercialize the retargetable power-aware compilation technology that we have developed over the past several years. The central thesis of this proposal is that much speculative information about a program can be extracted at compile time that is currently not exploited. This information can then be exposed and used in making operational decisions (such as throttling various system sub- units) to reduce power consumption with minimal (or no) impact on performance. Our approach relies primarily on compiler-based energy reductions, rather than on circuit and architectural techniques. The key difference between our work and that of others is that we do not require all our compiler-derived information to be provably correct: all that we require is that predictions are correct often enough that they can be usefully exploited in making resource-control decisions. Relaxing the requirement to be provably correct in making predictions (of, for instance, the instruction-level parallelism of certain portions of a program) greatly reduces the complexity of otherwise highly sophisticated analysis techniques (e.g., flow-sensitive alias analysis) and expands their scope to large and complex applications. Extensive preliminary work has been carried out to validate this approach. We believe this approach is orthogonal to many other power-aware approaches currently being used, and that its effects can be additive to these traditional approaches. Further, the nature of our approach lends it to being retrofitted to current technology. Extensive analysis of the significant power-aware computing market indicates the high level of applicability of our techniques to a very wide range of applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

60 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $29,565,062. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Homeland Security, National Science Foundation, Department of Energy

Agency intelligence

National Science Foundation

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