草榴社区

Accelerate Coverage Closure Using AI/ML-based VCS ICO Technology

Functional verification dominates semiconductor development, consuming the largest percentage of project time and resources. Verification is never truly complete, so the decision to release a chip for software development on an emulation or FPGA prototyping platform, or for physical tape out, is based on a combination of factors. Verification engineers want to see key metrics converge to target goals, and do so with stringent cost and time constraints. Innovation that can accelerate this convergence and help find bugs sooner deliver high value by “shifting left” the verification process and therefore tape out and software development.  

In this 草榴社区 webinar, we will review 草榴社区’ new Intelligent Coverage Optimization (ICO) technology, which reduces coverage regression turn-around time (TAT), while improving coverage and exposing rare bugs. ICO leverages AI/ML technologies to accumulate and learn from project experience, and deliver increasing optimization benefits over regression runs. ICO fits seamlessly in 草榴社区 VCS constrained random verification technologies and flows, and is an important new tool for verification engineers to use as part of 草榴社区’ overall shift left solution.

Speakers

Anika Malhotra Headshot

Anika Malhotra

Senior Product Marketing Manager
Verification Group

草榴社区

Anika Malhotra is a Senior Product Marketing Manager in 草榴社区’ Verification Group. Anika has over 12 years of semiconductor industry experience spanning product management, research development and verification from prior roles at Cadence and Agilent Technologies. Anika holds a Master’s from the IIIT Bangalore, India. She currently is responsible for product marketing of Verification IP and VCS products. 

Anika Malhotra Headshot

Will Chen

Applications Engineer
Customer Success Group

草榴社区

Will Chen is a Principal Applications engineer in 草榴社区’ Customer Success Group. Will has over 20 years of experience with account and project management for functional verification. He has recently been focusing on using AI/ML to improve verification efficiency and productivity.

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