Improving PPA When Embedding FPGAs Into SoCs


Embedded FPGAs have been on everyone’s radar for years as a way of extending the life of chips developed at advanced nodes, but they typically have come with high performance and power overhead. That’s no longer the case, and the ability to control complex chips and keep them current with changes to algorithms and various protocols is significant step. Geoff Tate, CEO of Flex Logix, talks a... » read more

A New Year’s Wish


Every year I run a predictions article. It is a mashup of ideas from many people within the industry, and while many predictions are somewhat self-serving, there are other which come more from the heart — or perhaps they are dreams rather than expectations. I see hope in some of those, particularly the ones that look toward sustainability within our industry, and of our industry. Just like... » read more

What Does 2023 Have In Store For Chip Design?


Predictions seem to be easier to make during times of stability, but they are no more correct than at any other period. During more turbulent times, fewer people are courageous enough to allow their opinions to be heard. And yet it is often those views that are more well thought through, and even if they turn out not to be true, they often contain some very enlightening ideas. 2022 saw some ... » read more

Choosing The Correct High-Bandwidth Memory


The number of options for how to build high-performance chips is growing, but the choices for attached memory have barely budged. To achieve maximum performance in automotive, consumer, and hyperscale computing, the choices come down to one or more flavors of DRAM, and the biggest tradeoff is cost versus speed. DRAM remains an essential component in any of these architectures, despite years ... » read more

Research Bits: Jan. 24


Transistor-free compute-in-memory Researchers from the University of Pennsylvania, Sandia National Laboratories, and Brookhaven National Laboratory propose a transistor-free compute-in-memory (CIM) architecture to overcome memory bottlenecks and reduce power consumption in AI workloads. "Even when used in a compute-in-memory architecture, transistors compromise the access time of data," sai... » read more

Supply Chain Collaboration Key To Making Chip Industry More Sustainable


Coming in the wake of the COP27, the Smart and Green Manufacturing Summit at SEMICON Europa 2022 (Munich, 15-17 November) had a timely focus on the semiconductor industry’s contribution to meeting the United Nations’ target of limiting global warming to 1.5°C above pre-industrial levels. However, in an industry as large and valuable as semiconductors, social as well as environmental imp... » read more

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation


Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the state-of-the-art in semantic segmentation. However, many of recent semantic segmentation works only consider class accuracy and ignore the accuracies at the boundaries between semantic classes. To improv... » read more

Design And Verification Methodologies Breaking Down


Tools, methodologies and flows that have been in place since the dawn of semiconductor design are breaking down, but this time there isn't a large pool of researchers coming up with potential solutions. The industry is on its own to formulate those ideas, and that will take a lot of cooperation between EDA companies, fabs, and designers, which has not been their strong point in the past. It ... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

Is AI Sustainable? Five Ways To Reduce Its Carbon Footprint


Forget adding bunny ears to your selfie; AI has long since grown up and begun tackling tough, environmental problems. Its data-crunching superpowers make it ideal for everything from ocean monitoring to climate change prediction modeling. But training AI models requires vast amounts of energy, so do the benefits outweigh the environmental cost? In short, is AI sustainable? Sustainable AI: fact... » read more

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