ISQED'21 Keynotes
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April 7, 2021
Confluence of AI/ML with EDA and Software Engineering
Arun VenkatacharArun Venkatachar - Vice President, Artificial Intelligence and Central Engineering , Synopsys
Investments into AI/ML to solve EDA problems with ever-increasing complexities of chip-design is starting to come to light. Recent product announcements like the DSO.ai from Synopsys revolutionizes chip design by massively scaling exploration of options in design workflows. Similarly, there are many applications in production solving different challenges in areas like verification, place & route, dfm etc., that have harnessed the power of AI/ML, Big-Data and Compute to provide a new set of tools and techniques for EDA to address both existing and new challenges. Not only do these technologies aid EDA, they are also helping us address challenges during software engineering development of these complex EDA products. By harnessing the data from code, tests, and bugs one can now improve product quality, improve productivity, and provide greater customer experience. In my talk I will be also going over such applications that are in production. With such potential, companies now need to build good data strategies to harness these benefits across their organizations. They will also need to invest in good data and AI/ML infrastructures to expedite building these solutions. It is now time to have data generate algorithms instead of the other way around! While these investments are starting to come to fruition, semiconductor design industry is still in the early stages and future promise is very alluring and exciting.
About Arun Venkatachar
Arun Venkatachar is Vice President of Artificial Intelligence & Central Engineering at Synopsys. He is responsible for leading Synopsys’ Artificial Intelligence strategy and development, along with driving Synopsys core EDA engineering infrastructure, tooling and operations. He has over 20+ years of experience in building EDA products in the areas of compilers and debuggers and is currently focused on building AI/ML, Big-Data and Cloud-based solutions to solve complex problems for both internal and external customers. He has several publications and patents in the areas of distributed computing and simulation. He holds a Master’s Degree in Computer Engineering.
April 8, 2021
Cars Driving Chips or Chips Driving Cars?
Ravi SubramanianRavi Subramanian, Ph.D., Senior Vice President - IC Verification, Siemens EDA
The automotive industry, once driven by mechanical design, styling and fuel economy – has transformed. The road ahead for cars is now all about software and electronics in the pursuit of autonomous driving and electrification. Future automotive platforms are being shaped by new requirements around sensing, safety, and security - spanning design, manufacturing, and in-road operation. These are driving revolutionary changes in the required imaging, radar, computing, networking, and software platform technologies. In this talk, we will explore the evolution of automobile platforms and the resulting implications on IC design, manufacture, and field operation for automotive IC suppliers in the coming decade.
About Ravi Subramanian
Ravi Subramanian is Senior Vice-President of IC Verification at Siemens EDA. He joined Siemens through the acquisition of Mentor Graphics where he held the role of Vice President and General Manager of the Analog/RF/Mixed-Signal Verification Business Unit. Ravi joined Mentor through the acquisition of Berkeley Design Automation (BDA), where he was President and CEO. Prior to BDA, Ravi was at Infineon Technologies, where he was the VP and GM of the 3G WCDMA Business Group. Ravi joined Infineon through the acquisition of Morphics Technology, a fabless semiconductor company where he was the founder and VP Engineering, and then CEO. Ravi began his career at AT&T Bell Laboratories, where he worked on radio transceivers for CDMA and GSM mobile communications and led the Radio Systems Research Department. While at AT&T, Ravi won the AT&T Leadership Award for his work on digital radio platforms. Ravi received his BSEE (with honors) from the California Institute of Technology (1987). He earned his PhD in EECS from the University of California at Berkeley (1991) where he was a recipient of the prestigious UC Regent's Fellowship. He is the lead author on 18 issued United States patents on digital, analog, and RF signal processing techniques in mobile communications. With over 20 years of experience spanning semiconductor, software, wireless, and electronic design, Ravi has directly been involved in the transformations electronics, software, and semiconductors have enabled across multiple industries. Ravi is a respected and proven business leader, technologist, and entrepreneur. He is passionate about customer success, the business of technology, building teams, and fueling innovation.