SBIR/STTR Research Award

SBIR Phase I:Design for Manufacturability Rule Evaluation using Test Measurement Data

Award identifier 324a42233d764a35ffd4cd2b56daad14363192404d0d06571383203a810ff8aaAwarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2010

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
TestWorks
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 09-609
Topic code
IC

Research abstract

This Small Business Innovation Research (SBIR) Phase 1 project will use normally-available data produced by failing integrated circuits (ICs) to evaluate the capability of design-for-manufacturability (DFM) rules and guidelines to ensure reliable, working ICs. All ICs employ DFM rules and guidelines that are constraints that prevent or limit the use of certain physical structures within the IC. Such structures are constrained since they are difficult to manufacture implying they have a less-than-acceptable likelihood for causing chip failure. Thus DFM is meant to ensure ICs yield at acceptable levels. Deployment of DFM does have a cost however since its application requires the use of complex design tools that typically require weeks of compute time to check for design compliance. Moreover, performance degradation results when the IC is modified to satisfy DFM constraints. While the costs of DFM are clear, there is however no direct way of measuring DFM effectiveness. In other words, how well a specific rule or guideline actually ensures yield is an open question. This SBIR project will develop and implement software that analyzes the design data and tester data from failing ICs to directly measure the effectiveness DFM rules/guidelines. The broader impact/commercial potential of this project is that it will enable chip designers and manufacturers to employ only those DFM rules/guidelines that are actually effective. This means that chip yield will improve since the overall design will be more manufacturable, chip quality will improve since systematic failures that are more likely to escape detection will be reduced, chip design cost will decrease since the time needed to deploy DFM will be reduced since only the effective rules will be used, and chip performance will improve since the design will be altered less since only the most effective rules will be used.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.