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Webinar: How Deep Data Analytics Accelerates SoC Time-to-Market by 6 Months

April 27 @ 9:00 AM - 9:30 AM

SoCs have become very complex silicon solutions. They now consist of 100s of millions or billions of gates, 100 or more discrete Semiconductor Intellectual Property (SIP) blocks, megabytes of volatile and non-volatile embedded memory and multiple CPU cores.

Join us on Thursday, April 27 for this 30-minute webinar as we describe and quantify the benefits to using deep data analytics to accelerate SoC product development. Semico Research will present a head-to-head comparison of two companies designing a similar multicore SoC on a 5nm technology node.

Key findings show that using deep data analytics:

  • Accelerates time-to-market by 20-25% (equivalent to six months in this example), ensuring the product is first to market and able to capitalize on this advantage.
  • Reduces design and development costs by nearly $25M, amounting to a 9% cost savings.
  • Leads to a higher quality product by improving performance by 15-18%, depending on the device complexity and process technology used.

Register now and save your seat.

Meet Our Speakers

Rich Wawrzyniak is the Principal Analyst for ASIC and SoC at Semico Research. He has over 35 years of experience in the semiconductor industry and has a well-rounded background in both emerging and mature markets and applications with special emphasis on analog, ASIC, memory and processor functions, as well as systems products, software development, and process technology. Prior to Semico, Wawrzyniak worked at STMicroelectronics and Toshiba America Electronic Components (TAEC). He is a graduate of Loyola University in Chicago.

Marc Hutner is Senior Director of Product Marketing at proteanTecs. He has been innovating in the areas of design, test, DFT and data analytics for more than 20 years and is a recognized thought leader on these topics. Prior to joining proteanTecs, he worked at Teradyne for more than 20 years as a silicon and system architect. He has a Bachelor of Computer Engineering (B.Eng) from McGill University in Montreal, Canada and a Master of Science in Engineering Management (M.Sc.EM) from Tufts University in Boston.

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