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Resolution Proofs as a Data Structure for Logic Synthesis

Resolution Proofs as a Data Structure for Logic Synthesis

Resolution Proofs as a Data Structure for Logic Synthesis. John Backes ( back0145@umn.edu ) Marc Riedel ( mriedel@umn.edu ) Electrical and Computer Engineering University of Minnesota. Data Structures. Sum of Products (SOPs) Advantages: explicit, readily mapable.

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673 views • 58 slides
Resolution Proofs as a Data Structure for Logic Synthesis

Resolution Proofs as a Data Structure for Logic Synthesis

Resolution Proofs as a Data Structure for Logic Synthesis. John Backes ( back0145@umn.edu ) Marc Riedel ( mriedel@umn.edu ) Electrical and Computer Engineering University of Minnesota. Data Structures. Sum of Products (SOPs) Advantages: explicit, readily mapable.

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690 views • 58 slides
The Synergy between Logic Synthesis and Equivalence Checking

The Synergy between Logic Synthesis and Equivalence Checking

The Synergy between Logic Synthesis and Equivalence Checking. R. Brayton UC Berkeley. Thanks to SRC, NSF, and industrial sponsors, Actel, Altera, Calypto, Intel, Magma, Synplicity, Synopsys, Xilinx. Outline. Mostly emphasize synthesis Look at the operations of classical logic synthesis

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425 views • 39 slides
Generalized SAT-Sweeping for Post-Mapping Optimization

Generalized SAT-Sweeping for Post-Mapping Optimization

Generalized SAT-Sweeping for Post-Mapping Optimization. Tobias Welp 1 Smita Krishnaswamy 2 Andreas Kuehlmnn 1,3 1 University of Califonia at Berkeley, CA, USA 2 Columbia University, NY, USA 3 Coverity, Inc., San Francisco, CA, USA Date: 2012/6/29. Outline. Introduction Motivation

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506 views • 32 slides

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