Powered by OpenAIRE graph
Found an issue? Give us feedback
 View all 2 versions
Claim

Divide and conquer based Fast Shmoo algorithms

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 21 Mar 2005Publisher:IEEEJournal:2004 International Conferce on Test
Authors: Peter Patten;

doi: 10.1109/test.2004.1386953

Divide and conquer based Fast Shmoo algorithms

Abstract

Shmoo-plots are a powerful characterization technique in digital IC testing. Utilization and number of ICs exposed are limited by high execution times. This work presents an effective Fast-Shmoo algorithm to accelerate device characterization. The robust optimization concept is adapted to specific device characterization needs and reduce test execution times significantly.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!
uploadUpload now