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
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
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
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
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
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
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
Artificial Intelligence (AI) and Machine Learning (ML) are becoming more and more commonplace in our world. We have Siri, Alexa and Google Assistant that understand our voice commands. Vision systems that recognize objects are used for facial recognition, autonomous driving, medical, geographical and many other applications.… Read More
Based on what I’m seeing, I believe Cadence is looking at the world a bit differently these days. I first reported about their approach to machine learning for EDA in March, and then there was their white paper about Intelligent System Design in April. It’s now May, and Cadence is shaking things up again with a new white paper entitled… Read More
Artificial intelligence (AI) and machine learning (ML) are hot topics. Beyond the impact these technologies are having on the world around us, they are also having impact on the semiconductor and EDA ecosystem. I posted a blog last week that discussed how Cadence views AI/ML, both from a tool and ecosystem perspective. The is one… Read More
