Guest Blogger Sanjay Gangal
Sanjay Gangal is a veteran of Electronics Design industry with over 25 years experience. He has previously worked at Mentor Graphics, Meta Software and Sun Microsystems. He has been contributing to EDACafe since 1999. EDACafe Industry Predictions for 2023 – PerforceJanuary 19th, 2023 by Sanjay Gangal
By Simon Butler, General Manager, PerforceSupply chain issues will work out of the system, including legacy analog processes used in automotive and other non data-center applications. A semiconductor over supply scenario is likely, especially for high volume and commodity parts (memory components are already making production cutbacks). There will be more manufacturing activity in the US mostly around fab plant design and engineering; we won’t see actual wafers for another two years as the factories complete construction and begin to staff up. Expect more investigation into other aspects of the manufacturing process that could be bought back to the US: Testing, packaging, etc., and how much of these activities lend themselves to automation given that US labor is more expensive. I expect to see an uptick in IP-centric based design, including IPs at the die level as part of chiplet based designs. These will require new platforms to handle the assembly and to secure the provenance of the constituent components. Expect aggregating IP catalogs that span multiple vendors and technologies, and with block chain style authentication and traceability to ensure what is being assembled is what is expected.
AI driven use models will continue to grow, including those in the EDA space where machine learning assisted tools will help with verification and testing solutions. Autonomous driving is another area that will continue to advance, and help drive demand for data center compute resources to interpret the vast amounts of data being generated, and real time systems tasked with making decisions at the edge. More use models around AR (augmented reality) should come online. Systems that augment the user experience and assist during real world tasks are becoming more prevalent. Examples such as oil well explorations, AR assisted surgery, other medical user models, and other in-the-field interactions that can benefit from a combination of augmentation and AI/ML to assist the operator. Simon Butler – Bio Simon Butler was founder and CEO of Methodics Inc, acquired by Perforce in 2020, and is currently the General Manager of the Methodics Business unit at Perforce. Methodics created IPLM as a new business segment in the enterprise software space to service the needs of IP and component-based design. Simon has 30 years of IC design and EDA tool development and specializes in product strategy and design. Category: EDA Predictions |