Decision selection and associated learning for computing all...

Error detection/correction and fault detection/recovery – Pulse or data error handling – Digital logic testing

Reexamination Certificate

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Reexamination Certificate

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11194543

ABSTRACT:
An all solutions automatic test pattern generation (ATPG) engine method uses a decision selection heuristic that makes use of the “connectivity of gates” in the circuit in order to obtain a compact solution-set. The “symmetry in search-states” is analyzed using a “Success-Driven Learning” technique which is extended to prune conflict sub-spaces. A metric is used to determine the use of learnt information a priori, which information is stored and used efficiently during “success driven learning”.

REFERENCES:
patent: 6886124 (2005-04-01), Wang
patent: 7185254 (2007-02-01), Ishida et al.
Panda et al. “Who are the Variables in Your Neighborhood” Dept. of Electrical and Computer Engineering, Univ. of Colorado at Boulder; pp. 74-79 , 1995.
Richard Rudell, “Dynamic Variable Ordering for Ordered Binary Decision Diagrams” pp. 42-47, 1993.
Iyer et al. “Satori—A Fast Sequential Sat Engine for Circuits” Dept of ECE, University of Cal. pp. 320-325; 2003.
Marques-Silva et al. “GRASP: A Search Algorithm for Propositional Satisfiability” IEEE Transactions on Computers, vol. 48 No. 5, pp. 506-521; May 1999.
Zhang et al. “Efficient Conflict Driven Learning In a Boolean Satisfiability Solver” pp. 279-285; 2001.
Chang et al. “Short Papers” IEEE Transactions on Computer-aided Design on Integrated Circuits and Systems, vol. 19, No. 1 pp. 152-160; Jan. 2000.
Lawrence H. Goldstein “Controllability/Observability Analysis Digital Circuits” vol. CAS 26, No. 9; Sep. pp. 685-693; Sep. 1979.
Wang et al. “A Signal Correlation Guided ATPG Solver And Its Applications For Solving Difficult Industrial Cases” pp. 436-441; Jun. 2003.
Iyer et al. “On the A Development of an ATPG based Satisfiability Checker” University of California; 2002.
Kang et al. “SAT-Based Unbounded Symbolic Model Checking” pp. 840-843; Jun. 2003.
Ken L. McMillan “Applying SAT Methods in Unbounded Symbolic Model Checking” pp. 250-264; 2001.
Li et al. “A Novel All-Solutions Solver for Efficient Preimage Computation” Computer Science; 2004.
Sheng et al. “Efficient Preimage Computation Using A Novel Success-Driven ATPG” Computer Science; 2003.
Bern et al. “Short Papers” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 15, No. 1 pp. 127-130; Jan. 1996.
Gergov et al. “Efficient Boolean Manipulation With OBDD's can be Extended to FBDD's” IEEE Transactions on Computers, vol. 43, No. 10, pp. 1197-1209; Oct. 1994.
Aloul et al. “MINCE: A Static Global Variable-Ordering for SAT and BDD” 2001.
Chung et al. “Efficient Variable Ordering Heuristics for Shared ROBDD” pp. 1690-1693.
Giraldi et al. “EST: The New Frontier in Automatic Test-Pattern Generation” 27th ACM/IEEE Design Automation Conference; 1990.
Wang et al. “Conflict Driven Techniques for Improving Deterministic Tet Pattern Generation” pp. 87-93; 2002.
Chandrasekar et al. “ATPG-Based Preimage Computation: Efficient Search Space Pruning with ZBDD” pp. 117-122; 2003.
Pomeranz et al. “An Efficient Nonenumerative Method to Estimate the Path Delay Fault Coverage in Combinational Circuits”IEEE Transactions on Computer-Aided Design of Intergrated Circuits and Systems, vol. 13, No. 2, pp. 240-250; Feb. 1994.

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