In this paper, we present an algorithm based on verification for improving the accuracy of design error diagnosis. This algorithm integrates three-valued logic ...
We introduce a hybrid method for making preimage calculations using ATPG and binary decision diagrams (BDDs). Experimental results show that the proposed method ...
On the other hand, ATPG with success-driven learning computed the preimage completely in fewer backtracks and shorter execution times. The BDD sizes for storing ...
Unlike methods that combine ATPG/SAT and OBDD, we present a novel success-driven learning algorithm which significantly accelerates an ATPG engine for ...
Unlike methods that com- bine ATPG/SAT and OBDD, we present a novel success-driven learning algorithm which significantly accelerates a ATPG en- gine for ...
[PDF] Efficient preimage computation using a novel success-driven ...
www.semanticscholar.org › paper
This work presents a novel success-driven learning algorithm which significantly accelerates an ATPG engine for enumerating all solutions (preimages) and ...
Success-Driven Learning in ATPG for Preimage Computation. Editor's note: Unbounded model checking fundamentally requires either image or preimage calculations.
Experimental results have demonstrated the effectiveness of the approach, in which we are able to compute preimages for large sequential circuits, where OBDD- ...
Integrating both success driven and conflict driven learning showed that our techniques prune upto 90% of the search space and computes preimage for states ...
... success-driven learning algorithm which significantly accelerates an ATPG engine for enumerating all solutions (preimages). The algorithm effectively prunes ...