1 / 10

Finding the Minimal Logic Difference for Functional ECO

2012 CAD Contest. Finding the Minimal Logic Difference for Functional ECO. Black Yu , Charlotte Lin, Jerry Wang, and Randy Chen. 2012 CAD Contest. Outline. Problem Formulation Flow Current Progress Problems & Solutions SAT-based diagnosis Craig interpolation Node merging

xaria
Télécharger la présentation

Finding the Minimal Logic Difference for Functional ECO

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 2012 CAD Contest Finding the Minimal Logic Difference for Functional ECO Black Yu, Charlotte Lin, Jerry Wang, and Randy Chen

  2. 2012 CAD Contest Outline • Problem Formulation • Flow • CurrentProgress • Problems & Solutions • SAT-based diagnosis • Craig interpolation • Node merging • Experimental Result

  3. 2012 CAD Contest ProblemFormulation o1 o1 • Given g2 g2 n3 g4 n2 n2 n1 g1 g1 g3 x1 x2 x1 x2 x3 x3 <g1.v> <g2.v>

  4. 2012 CAD Contest Problem Formulation o1 o1 patch.v • Find g2 g2 n3 g3.v g4 n2 n2 n1 g1 g1 g3 x1 x2 x1 x2 x3 x3 <g1.v> <g2.v>

  5. 2012 CAD Contest Flow Old Circuit Golden Circuit Verilog Parser Difference Identification Patch Construction Patch Minimization Patch Patched Circuit

  6. 2012 CAD Contest Current Progress

  7. 2012 CAD Contest SAT-based Diagnosis • Input: A set of candidate signals • Output: A set of feasible rectification points • Problem: Consuming so much time • Solution: • Counterexample covering: (𝑟1+𝑟2)(𝑟3)(𝑟2+𝑟3)(𝑟1+𝑟2+𝑟3) • Cardinality constraints • Reducing candidates (fail) • More heuristics ?

  8. P • Pioff Pion • 2012 CAD Contest Craig Interpolation • Input: Pion and Pioff • Output: Interpolantof Pion and Pioff • Problem: The generated patch is too large • Solution: Extracting minimum UNSAT core (MUC). ITP (Pion, Pioff)

  9. 2012 CAD Contest Node Merging • Input: Patch nodes and g1 • Output: Minimized patch • Status: Integrating…

  10. 2012 CAD Contest Experimental Result

More Related