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Formality Equivalence Checking

Best verifiable QoR...5X faster with
ML-driven adaptive distributed verification

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Expert Insights

Architects meeting working at computer in office

Optimizing Design Signoff and Achieving Accurate Functional ECOs the Smarter Way

Synopsys’ unique, ML-powered equivalence checking approach and solution deliver an array of advantages compared to traditional techniques.

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IP, AI, artificial intelligence, machine learning

A Machine Learning-Based Approach To Formality Equivalence Checking

Learn to use Synopsys Formality to automatically determine the right verification strategy based on the design characteristics that may present challenges.

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Webinars

Webinar

5x Faster Equivalence Checking with Formality ML-driven DPX

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Webinar

Achieve Out-of-the-box Equivalence Checking with Formality ML-driven Distributed Processing

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Webinar

Achieving the Best Verifiable QoR using Formal Equivalence Verification

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SNUG Papers

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NXP

Resolving Formality Conflicts for Designs Having Incomplete/Partial Power Architecture in RTL

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Broadcom

Formality Challenges for Low Power Based Flow for Multimillion Gate Complex SoCs

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Arm

A Simple RTL IP Obfuscation Flow - Using Synopsys VCS, DC and Formality

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Seagate

Case Study of Full Chip Flat Formality with Parameterized System Verilog Interface

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NXP

Divide and Conquer Strategy to Tackle Seemingly Unsolvable 25M+ Gate Design with Hybrid Hierarchical and Flat Approach

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NVIDIA

Strategies for Formality Success

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NXP

Resolving Formality Conflicts for Designs Having Incomplete/Partial Power Architecture in RTL

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