R. Desineni
Carnegie Mellon University
9 Papers
229 Citations
R. Desineni is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Fault (power engineering) & Fault model. The author has an hindex of 7, co-authored 9 publications.
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Papers
A Logic Diagnosis Methodology for Improved Localization and Extraction of Accurate Defect Behavior
R. Desineni,Osei Poku,R.D. Blanton +2 more
- 01 Oct 2006
TL;DR: Results from several simulated and over 800 failing ICs reveal a significant improvement in localization and an accurate model of the logic-level defect behavior that provides useful insight into the actual defect mechanism.
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Fault tuples in diagnosis of deep-submicron circuits
R.D. Blanton,J.T. Chen,R. Desineni,K.N. Dwarakanath,Wojciech Maly,T.J. Vogels +5 more
- 07 Oct 2002
TL;DR: Fault tuples can accurately mimic the complex misbehavior of DSM ICs at the logic level, enabling practical diagnosis of large circuits, and indicate that fault tuples may enhance diagnosis significantly.
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Multiple-detect ATPG based on physical neighborhoods
J.E. Nelson,J.G. Brown,R. Desineni,R.D. Blanton +3 more
- 24 Jul 2006
TL;DR: A new ATPG strategy is presented that uses a new metric to capture quality of a multiple-detect test set based on the number of unique states on lines in the physical neighborhood of a targeted line to generate higher quality test sets.
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Defect Modeling Using Fault Tuples
TL;DR: How fault tuples can and have been used to enhance testing tasks such as fault simulation, test generation, and diagnosis, and enable new capabilities such as interfault collapsing and application-based quality metrics is described.
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Benchmarking diagnosis algorithms with a diverse set of IC deformations
T.J. Vogels,T. Zanon,R. Desineni,R.D. Blanton,W. Maly,J.G. Brown,J.E. Nelson,Y. Fei,X. Huang,P. Gopalakrishnan,M. Mishra,V. Rovner,S. Tiwary +12 more
- 26 Oct 2004
TL;DR: A simulation-based benchmarking strategy is developed that uses circuit-level models to describe the complex nature of real defects and a simple yet powerful strategy using a small circuit and a set of bounded deformations for measuring the effectiveness of diagnosis techniques.
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