Anika Sunda

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Anika Sunda is a senior product marketing manager in the Cadence System Verification Group. She has more than 13 years of semiconductor industry experience spanning product management, research development, and verification from prior roles at Synopsys and Agilent Technologies. Sunda holds a master’s from the IIIT Bangalore, India. She is currently responsible for business development and product marketing of Xcelium products, helping bring Cadence's machine learning technology, Xcelium-ML, to the broader market.

Author's Latest Posts

Weak Verification Plans Lead To Project Disarray

By Anika Sunda - 29 Feb, 2024 - Comments: 0

The purpose of the verification plan, or vplan as we call it, is to capture all the verification goals needed to prove that the device works as specified. It’s a big responsibility! Getting it right means having a good blueprint for verification closure. However, getting it wrong could result in bug escapes, wasting of resources, and possibly lead to a device failing altogether. With the foc... » read more

Unified AI/ML Solution Helps Accelerate Verification Curve

By Anika Sunda - 09 Feb, 2023 - Comments: 0

With the surge in usage requirements and increasing customer demands, hardware design is quickly becoming more complex. The rapid change in market trends, with a greater focus on technologies such as electric vehicles, dictates the demand for efficient power management and high-performance processing. Verification throughput continues to be a bottleneck as SoC designs increase in size, and so d... » read more

Recipe To Catch Bugs Faster Using Machine Learning

By Anika Sunda - 19 Sep, 2022 - Comments: 0

We all agree that verification and debug take up a significant amount of time and are arguably the most challenging parts of chip development. Simulator performance has consistently topped the charts and is a critical component in the verification process. Still, the need of the hour is to stretch beyond simulator speed to achieve maximum verification throughput and efficiency. Artificial in... » read more