$GTCHD developing machine learning based software
Post# of 18519
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Posted On: 11/18/2021 12:00:41 PM
$GTCHD developing machine learning based software solutions to include integrated circuit design, verification and manufacturing aspects under one platform, enabling faster design, higher performance, and silicon yield. Based on its recent patented technology, GBT has started the development of a comprehensive software solution to address advanced nanometer challenges under one design environment. The software platform (internal code name MAGIC II), will address a wide variety of IC design aspects among these are functional verification, geometric design-rules correctness, power management, reliability and design for manufacturing (DFM).
The platform is targeted to support analog, digital and mixed signal designs, enabling efficient scalability and process migration. GBT’s ML technology plans to be implemented to ensure fast performance; especially, with today’s very large ICs in the domains of AI, IoT and data processing. The solution suite will include design, verification and manufacturing analysis under one platform which eliminates the use of different EDS vendors and tool tools. The platform will take into consideration design requirements and perform area optimization for efficient silicon yield.
The platform is targeted to support analog, digital and mixed signal designs, enabling efficient scalability and process migration. GBT’s ML technology plans to be implemented to ensure fast performance; especially, with today’s very large ICs in the domains of AI, IoT and data processing. The solution suite will include design, verification and manufacturing analysis under one platform which eliminates the use of different EDS vendors and tool tools. The platform will take into consideration design requirements and perform area optimization for efficient silicon yield.
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