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Our research primarily focuses on two areas of design
challenges:
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To overcome the challenges in
functional verification
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To overcome the challenges in
achieving design-manufacturing convergence
Functional verification research
includes
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Automatic test bench improvement
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Mining and learning functional
simulation data
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Coverage evaluation and coverage
metric development
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Combined SAT, symbolic simulation,
and data learning in verification
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Development of design drivers for
the research
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Interface to existing constrained
verification environment
Design-manufacturing convergence
research includes:
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Statistical timing tools and
methodologies for test and diagnosis
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Test data learning
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Layout driven diagnosis and silicon
debug
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Timed and statistical timed ATPG
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Information flow back from test data
to design tools and models
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Monte Carlo simulation of combined
timing effects
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Modeling and handling of design
behavior variations
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