tag: EDA

Big Changes In Verification
By Ann Mutschler - 28 Jan, 2021 - Comments: 0

Verification is undergoing fundamental change as chips become increasingly complex, heterogeneous, and integrated into larger systems. Tools, methodologies, and the mindset of verification engineers themselves are all shifting to adapt to these new designs, although with so many moving pieces this isn't always so easy to comprehend. Ferreting out bugs in a design now requires a multi-faceted... » read more

Achieving Physical Reliability Of Electronics With Digital Design
By John Parry - 14 Jan, 2021 - Comments: 0

By John Parry and G.A. (Wendy) Luiten With today’s powerful computational resources, digital design is increasingly used earlier in the design cycle to predict zero-hour nominal performance and to assess reliability. The methodology presented in this article uses a combination of simulation and testing to assess design performance, providing more reliability and increased productivity. ... » read more

Imec’s Plan For Continued Scaling
By Paul McLellan - 14 Jan, 2021 - Comments: 0

At IEDM in December, the opening keynote (technically "Plenary 1") was by Sri Samevadam of Imec. His presentation was titled "Towards Atomic Channels and Deconstructed Chips." He presented Imec's view of the future of semiconductors going forward, both Moore's Law (scaling) and More than Moore (advanced packaging and multiple die). It is always interesting to hear Imec's view of the world sinc... » read more

Realize A More Productive EDA Environment From HPE With AMD
By Ansys - 13 Jan, 2021 - Comments: 0

Few industries are more competitive than modern electronics manufacturing and chip design. Consumers expect devices to be faster, cheaper, and more reliable with each generation. Whether large or small, electronics manufacturers rely on electronic design automation (EDA) to enable these improvements. Click here to access the white paper. » read more

Machine Learning — Everywhere: Enabling Self-Optimizing Design Platforms for Better End-to-End Results
By Synopsys - 13 Jan, 2021 - Comments: 0

Machine-learning offers opportunities to enable self-optimizing design tools. Very much like self-driving cars that observe real-world interactions to improve their responses in different (local) driving conditions, AI-enhanced tools are able to learn and improve in (local) design environments after deployment. These new, ML-driven capabilities can be embedded in different design engines, gi... » read more

EDA, IP Revenue Up 15%
By Ed Sperling - 11 Jan, 2021 - Comments: 2

EDA and IP revenues blasted off in Q3 of 2020 in every geography and every sector, despite a trade war, a pandemic, and slowdowns in the automotive and avionics sectors. Revenue grew to $2.95 billion, up 15% over the $2.57 billion in the same period in 2019, according to a just-released report from the Electronic System Design Alliance Market Statistic Services (MSS). The four-quarter moving... » read more

CEO Outlook: 2021
By Ed Sperling - 04 Jan, 2021 - Comments: 0

The new year will be one of significant transition and innovation for the chip industry, but there are so many new applications and market segments that broad generalizations are becoming less meaningful. Unlike in years past, where sales of computers or smart phones were a good indication of how the chip industry would fare, end markets have both multiplied and splintered, greatly increasin... » read more

Industry Transformations In 2021 And Beyond
By Frank Schirrmeister - 22 Dec, 2020 - Comments: 0

Last December, the name of my predictions blog summarized my view crisply, which is that "applications, ecosystems and system complexity will be key verification drivers for 2020." Slam dunk on these. Application domains significantly impacted verification aspects in 2020. Who would have thought that Facebook and AWS would be among the keynotes at our user conference, speaking about how thei... » read more

Stretching Engineers
By Brian Bailey - 22 Dec, 2020 - Comments: 1

Engineering has one constant — you innovate or fall by the wayside. That is true both for the things that are designed and for the engineers who design and build them. Today’s systems are putting new strains on engineers who can no longer be "tall and thin" or "short and fat." Those descriptions pertain to an engineer who is either highly specialized or one who has much broader experience. ... » read more

A Collaborative Data Model For AI/ML In EDA
By Si2 - 21 Dec, 2020 - Comments: 0

This work explores industry perspectives on: Machine Learning and IC Design Demand for Data Structure of a Data Model A Unified Data Model: Digital and Analog examples Definition and Characteristics of Derived Data for ML Applications Need for IP Protection Unique Requirements for Inferencing Models Key Analysis Domains Conclusions and Proposed Future Work Abstra... » read more

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