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AI-Driven Verification: Saving Time with Verdi Regression Debug Automation

July 27, 2022 @ 10:00 am - 11:00 am PDT

Synopsys, July 27, 2022

Analyzing the thousands of failures from daily regression runs is a manual, tedious, and error-prone process. The process can significantly impact quality-of-results, time-to-results and cost-of-results. The Synopsys Verdi® Regression Debug Automation (RDA) is an artificial intelligence (AI) driven verification technology for automating the process of finding the root causes of failures in the design under test and test bench. RDA addresses the challenges brought by manual and error-prone processes for dealing with regression failures by automatically classifying and probing raw regression failures through learned behavior leading to an increase of 10X faster root cause analysis and debug.

In this Synopsys webinar, we will discuss the challenges engineers face during the design verification and debug phase. We will walk you through the AI-driven components of RDA to help you eliminate the manual process, save time, more quickly understand design behavior and get to the root cause of errors.


Listed below are the industry leaders scheduled to speak.

Rob van Blommestein

Product Marketing Manager, Sr. Staff

Rob van Blommestein is the product marketing manager for the Verdi Automated Debug System at Synopsys. He has over 20 years of experience in marketing verification products from startups to large-scale companies.

Myles Glisson

Applications Engineer, Sr. Staff

Myles Glisson is a product and debug applications engineer with nearly 30 years of experience. He is a well-known leader in customer advocacy, building strong customer relationships, solving issues as well as providing technical advice and solutions. As a highly-motivated technical resource and troubleshooting expert thriving in fast-paced, pre- and post-sales environments, he works with sales, marketing and R&D to drive the adoption of solutions in customer flows and methodologies.


July 27, 2022
10:00 am - 11:00 am PDT
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