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Stelios Diamantidis
steliosdiamantidis

Stelios Diamantidis leads strategy and product management for Synopsys AI, and is a founder of the Machine Learning Center of Excellence, where he looks at applying machine learning (ML) technology to key disruptions in the design and manufacturing of integrated computational systems. He has more than 20 years of experience in system and semiconductor design and EDA software. A passionate technologist, Stelios has pioneered several EDA applications including design verification IP (2001), constrained-random metric-driven verification (2003), design-for-test (DFT) verification (2005), and at-speed post-silicon validation (2007). He has also driven the definition of IEEE standards including IEEE1647 (vice chair, Standard for Functional Verification Language) and IEEE1687 (founding member, Standard for Access and Control of Instrumentation). Stelios has published numerous papers and articles on the design and test of semiconductors and routinely presents at industry conferences and events. He holds an M.S. degree in electrical engineering from Stanford University.


Posts by Stelios Diamantidis:

 

The Power of Silicon Remastering for Addressing Chip Supply Pressures

See how silicon remastering eases the chip supply shortage by migrating old designs to modern process nodes to expand semiconductor manufacturing capacity.

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Posted in Artificial Intelligence, EDA

 

SiMa.ai Teams with Synopsys to Ease the Path to Deliver ML Applications for the Embedded Edge

Learn how our partnership with SiMA.ai enables embedded edge machine learning applications with programmable processor IP cores and a software-driven ML SoC.

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Posted in Artificial Intelligence, Customer Spotlight, IP

 

With AI-Driven Chip Design, So Much Is Possible

We explain how AI-powered chip design opens new doors for chip makers and how AI chips at the edge & hyperscale data centers are increasing compute performance.

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Posted in Artificial Intelligence, EDA, Machine Learning

 

AI’s Next Act: 5 Key Applications and Trends to Watch for in 2022

We share our AI predictions for 2022, including the impact of AI on SoC design and security, trending AI applications, and the rise of AIoT (AI + IoT) devices.

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Posted in Artificial Intelligence, EDA, Internet of Things

 

4 Futuristic Design Takeaways from the AI Hardware Summit 2021

We share AI chip design insights from AI Hardware Summit 2021, including wafer scale AI accelerator chips, high-bandwidth memory interfaces, and custom SoCs.

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Posted in Artificial Intelligence, EDA, Machine Learning

 

Why Now Is the Time to Create an AI Strategy for Chip Design

Learn how designers increase productivity with AI chip design tools and improve chip performance & energy efficiency to meet PPA targets on complex designs.

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Posted in Artificial Intelligence, EDA

 

How Hardware Is Driving AI Innovation

Learn how AI accelerators enable greater scalability & lower latency when processing artificial intelligence workloads both in hyperscale data centers & SoCs.

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Posted in Artificial Intelligence

 

Chip Design Symbiosis: Leveraging AI to Design Better Chips

By Stelios Diamantidis, Director, AI Products, Design Group

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Posted in Artificial Intelligence, EDA