Si2 Annual Technology Forum 2021
Friday, August 6
8:00 – 10:00 a.m. Pacific Time
8:00 – 10:00 a.m. Pacific Time
The semiconductor industry is entering a new era of creativity and productivity, fueled largely by cloud computing
Join us for discussions on semiconductor design-in-the-cloud strategy presented by Si2, a leading R&D joint venture creating EDA interoperability solutions and standards
This talk presents examples of cloud-based design and verification methods used within Amazon in the creation of cloud-connected products, as well as examples of how AWS semiconductor customers increasingly rely on cloud-based, multi-vendor design and verification flows to innovate faster, and at cloud scales.
Prior to joining Amazon Web Services, Pellerin had a career in electronic design automation and hardware-accelerated reconfigurable computing. He has experience with digital logic simulation and optimization, high-level synthesis, grid and cluster computing, and embedded systems for image, video, and network processing. He has published five Prentice Hall technical books.
Kalafala is the lead architect of EDA analytics and static timing analysis software tools used to design and verify the world’s fastest microprocessors. He has received multiple Research Division awards for publications in computer science and mathematics, an ACM/IEEE Technical Impact Award in EDA, and as a best-paper award at the Design Automation Conference. He is an inventor on at least 80 issued patents worldwide.
Kalafala received his undergraduate and graduate degrees in Computer and Systems Engineering from Rensselaer Polytechnic Institute.
A 20-year Intel veteran, Rodriguez directs a team that oversees electronic design automation, intellectual property, test and measurement, and security assurance supplier engagements. His volunteer industry experience includes general chair of the IEEE Electronic Design Process Symposium (2019-2021) and executive committee member of the Design Automation Conference (2015-2017).
Rodriguez has a Bachelor of Science in Electrical Engineering from the University of California, Los Angeles, and an MBA, Executive Program, from the W.P. Carey School of Business, Arizona State University.
Dr. Davis joined North Carolina State University in 2002 as an assistant professor and became professor in 2008. He received the National Science Foundation Faculty Early Career Development award in 2007 and the Si2 Distinguished Service Award in 2012 for development of standards for electronic design automation, and the FreePDK open-source, predictive process design kit. He has been an IEEE member since 1993 and became a senior member in 2011. He has published over 50 scholarly journal and conference articles.
Dr. Davis’ research is centered on developing methodologies, CAD tools, and circuits for systems-on-chip in emerging technologies. He received his Master of Science and Ph.D. in Electrical Engineering from UC Berkeley.
Dr. Jain leads machine learning research and development R&D for SoC design at Qualcomm. He previously conducted research in computer-aided-design and integrated circuit design at Siemens, IMEC, the University of California at Berkeley, and the University of California at Los Angeles, where he is currently professor emeritus. In 1999 he was elected IEEE Fellow for his contributions to computer-aided design tools for signal processing circuits.
Dr. Jain received his B. Tech in Electrical Engineering from the Indian Institute of Technology, Delhi , and a Ph.D and Electrical Engineering from the Katholieke Universiteit, Leuven, Belgium.
In her current role, she drives the technology, partnerships and ecosystem needed to make chip design on cloud pervasive. Obilisetty has over two decades of experience in the EDA. Previously, she was at Synopsys for 11 years, where she was involved in several verification products (simulation, coverage, formal verification) and more recently, led the AI/ML charter for Synopsys. Obilisetty has also founded two startups in the EDA domain. She holds a Bachelor’s degree in Electronics and Communication Engineering from Birla Institute of Technology, Mesra, India, and a Master’s degree in Computer Engineering from the University of Massachusetts, Amherst.