Designing 5G Chips


5G is the wireless technology of the future, and it’s coming fast. The technology boasts very high-speed data transfer rates, much lower latency than 4G LTE, and the ability to handle significantly higher densities of devices per cell site. In short, it is the best technology for the massive amount of data that will be generated by sensors in cars, IoT devices, and a growing list of next-g... » read more

Power/Performance Bits: April 17


Flexible LCDs Researchers at Donghua University and Hong Kong University of Science and Technology developed a flexible, optically rewriteable LCD for paperlike displays. The team estimates it will be cheap to produce, perhaps only costing $5 for a 5-inch screen. Optically rewriteable LCDs, like conventional LCDs, are structured like a sandwich, with a liquid crystal filling between two ... » read more

Tech Talk: Analog Simplified


Benjamin Prautsch, Fraunhofer EAS' group manager for advanced mixed-signal automation, talks about how to simplify and speed up analog IP development, its role in IoT and IIoT/Industry 4.0, and why this is becoming so important for advanced packaging and advanced process nodes. https://youtu.be/6ISL1A7Wy_I » read more

What Happened To UPF?


Two years ago there was a lot of excitement, both within the industry and the standards communities, about rapid advancements that were being made around low-power design, languages and methodologies. Since then, everything has gone quiet. What happened? At the time, it was reported that the [gettech id="31043" comment="IEEE 1801"] committee was the largest active committee within the IEEE. ... » read more

IP Electromagnetic Crosstalk Requires Contextual Signoff


By Magdy Abadir and Anand Raman Continuous advancement in technology scaling is enabling the emergence of high-performance application markets such as artificial intelligence, autonomous cars and 5G communication. These electronic systems operate at multi-GHz speed, while consuming the lowest amount of power possible leaving very little margin for error. Chips in these systems are highly in... » read more

Architecture, Materials And Software


AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

Aging Models: The Basis For Predicting Circuit Reliability


Today, many products are based on high-performance electronic systems and integrated circuits (ICs), and the importance of these elements is ever-increasing. A certain tension arises here as these applications often call for a large amount of processing power and reliability. The processing power can best be supplied with highly scaled semiconductor technologies. However, these manufacturing te... » read more

Power-Aware Intent And Structural Verification Of Low-Power Designs


In Part 1 of this series on power aware (PA) verification, we examined the foundations and verification features of PA static checks. In Part 2, we will discuss the features of the static verification library and describe best static verification practices. Library for Static Verifications Cell-level and pin-level attributes from Liberty are mandatorily required for accurate PA-Static verif... » read more

Navigating The Foggy Edge Of Computing


The National Institute of Standards and Technology (NIST) defines fog computing as a horizontal, physical or virtual resource paradigm that resides between smart end-devices and traditional cloud or data centers. This model supports vertically-isolated, latency-sensitive applications by providing ubiquitous, scalable, layered, federated and distributed computing, storage and network connecti... » read more

AI Signals A New Change Of Perspective


A very long time ago, I was a student at MIT, programming with card decks in APL on IBM mainframes and studying AI in a class from Patrick Winston (who took over MIT’s AI lab from the legendary Marvin Minsky). I kept the text book as a reminder of where the world would go. Over four titanic shifts, mainframes/card decks became VAX/VT100, thence to IBM PCs and PC clients tied by Ethernet to co... » read more

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