Machine Learning in the Fab at #59DAC

Machine Learning in the Fab at #59DAC
by Daniel Payne on 09-14-2022 at 8:00 am

Virtual Metrology min

It used to be true that a foundry or fab would create a set of DRC files, provide them to designers, and then the process yield would be acceptable, however if the foundry knows more details about the physical implementation of IC designs then they can improve the yield. Using a digital twin of the design, process and metrology steps… Read More


A Different Perspective: Ansys’ View on the Central Issues Driving EDA Today

A Different Perspective: Ansys’ View on the Central Issues Driving EDA Today
by John Lee on 06-14-2022 at 6:00 am

RedHawk SC uses Ansys SeaScape Big Data Platform Designed for EDA Applications

For the past few decades, System-on-Chip (SoC) has been the gold standard for optimizing the performance and cost of electronic systems. Pulling together practically all of a smartphone’s digital and analog capabilities into a monolithic chip, the mobile application processor serves as a near-perfect example of an SoC. But… Read More


Podcast EP72: Analog AI/ML with Aspinity

Podcast EP72: Analog AI/ML with Aspinity
by Daniel Nenni on 04-20-2022 at 10:00 am

Dan is joined by Tom Doyle, CEO of Aspinity. Dan explores the benefits of Aspinity’s analog signal processing technology with Tom. The ultra-low power analog computing capability delivered by Aspinity has significant implications for the design and deployment of AI/ML systems.

The views, thoughts, and opinions… Read More


Bespoke Silicon is Coming, Absolutely!

Bespoke Silicon is Coming, Absolutely!
by Daniel Nenni on 04-18-2022 at 6:00 am

IMG 9977

It was nice to be at a live conference again. DesignCon was held at the Santa Clara Convention Center, my favorite location, which to me there was a back to normal crowd. The sessions I attended were full and the show floor was busy. Masks and vaccinations were not required, maybe that was it. Or there was a pent-up demand to get back engaged… Read More


Optimizing AI/ML Operations at the Edge

Optimizing AI/ML Operations at the Edge
by Tom Simon on 03-22-2022 at 6:00 am

Optimizing Edge Based AI ML

AI/ML functions are moving to the edge to save power and reduce latency. This enables local processing without the overhead of transmitting large volumes of data over power hungry and slow communication links to servers in the cloud. Of course, the cloud offers high performance and capacity for processing the workloads. Yet, … Read More


More Than Moore and Charting the Path Beyond 3nm

More Than Moore and Charting the Path Beyond 3nm
by Kalar Rajendiran on 12-22-2021 at 10:00 am

Cadence AIML Technologies

The incredible growth that the semiconductor industry has enjoyed over the last several decades is attributed to Moore’s Law. While no one argues that point, there is also industry wide acknowledgment that Moore’s Law started slowing down around the 7nm process node. While die-size reductions still scale, performance jumps… Read More


Webinar on Dealing with the Pain Points of AI/ML Hardware

Webinar on Dealing with the Pain Points of AI/ML Hardware
by Tom Simon on 12-07-2021 at 6:00 am

Achronix FPGA for AI/ML

Ever increasing data handling demands make creating hardware for many applications extremely difficult. In an upcoming webinar Achronix, a leading supplier of FPGA’s, talks about the data handling requirements for AI/ML applications – which are growing at perhaps one of the highest rates of all. Just looking at all data… Read More


Achronix Speedster7t Garners Best Practices Award for FPGA

Achronix Speedster7t Garners Best Practices Award for FPGA
by Tom Simon on 01-11-2021 at 10:00 am

Frost and Sullivan 2020 Award Achronix

FPGAs have played an important role in the growth of key markets, including networking, storage, mobile devices, etc. They offer a unique set of capabilities that ASICs, CPUs and GPUs find hard to match. FPGAs are wire-speed, programmable integrated circuits that accelerate data and applications.  The ability to reprogram … Read More


How ML Enables Cadence Digital Tools to Deliver Better PPA

How ML Enables Cadence Digital Tools to Deliver Better PPA
by Mike Gianfagna on 10-28-2020 at 10:00 am

How ML Enables Cadence Digital Tools to Deliver Better PPA

There has been a lot written about artificial intelligence/machine learning (AI/ML) and its application in the Cadence digital design flow. Most recently, I covered significant verification efficiency improvements in Xcellium ML.  A recent digital-themed white paper from Cadence takes a broader look at the impact of ML on… Read More


New Processor Helps Move Inference to the Edge

New Processor Helps Move Inference to the Edge
by Tom Simon on 08-10-2020 at 10:00 am

MIPI IP from Mixel

Many of the most compelling applications for Artificial Intelligence (AI) and Machine Learning (ML) are found on mobile devices and when looking at the market size in that arena, it is clear that this is an attractive segment. Because of this, we can expect to see many consumer devices having low power requirements at the edge with… Read More