Age Of Acceleration


A shift from the fastest processors to accelerating specific functions is underway, supplanting an era of dark silicon in which one or more processor cores remain in a ready state whenever a single core's performance bogs down. In effect, the dark silicon/multi-core approach is being scrapped for many functions in favor of an accelerator-based microarchitecture that is far more granular. The... » read more

ESD Guns, Transients And Testing…Oh My!


With the pervasiveness of power management techniques like clock gating and power gating, transient power is on the rise, accompanied by the requirement to closely examine a system for such phenomenon as electrostatic discharge. I was interested to recently learn more about ESD testing, some of which is done with software tools, but much is still done in the lab with prototypes of the end d... » read more

From SerDes Chiplets To Die-To-Die Interfaces


The demand for ever faster high-speed interfaces has never been quite so pronounced. In our increasingly connected world, petabytes of data are continuously generated by a wide range of devices, systems and IoT endpoints such as vehicles, wearables, smartphones and even appliances. The resulting digital tsunami has prompted industry heavyweights like Google, Microsoft, Facebook and Amazon to co... » read more

What Does “Low Power Optimization” Mean To You?


As I was researching some new low power capabilities, I asked this question of nearly every designer I met: “How important is low power optimization?” It turns out that it’s a pretty useless question because of course it’s important to just about everyone. After all, reducing power improves reliability and reduces design costs. And for chips destined for certain applications, such as mo... » read more

The Evolution Of Deep Learning For ADAS Applications


Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it also will be critical for the automobile to interpret content from those images and react accordingly. To accomplish this, embedded vision processors must be hardware optimized for performanc... » read more

Large-Screen Compute Transformation Is Here


Mobile development never sleeps. Unlike some application areas where a technology takes root, grows and evolves quickly, and then plateaus when the products are mature, mobile is a different beast. It influences other areas of technology, bringing a new look and life to older applications. Since 2009, each smart phone generation has delivered improved performance at the same or lower power c... » read more

Libraries: Standardization and Requirements For Power-Aware Dynamic Simulation


INTRODUCTION Multivoltage (MV) based power-aware (PA) design verification and implementation methodologies requires special power management attributes in libraries for standard, MV and Macro cells for two distinctive reason. The first aspect is to provide power and ground (also bias) supply or PG-pin information, which is mandatory for PA verification. The second reason is to provide a distin... » read more

The Future Of Sports Cars


The introduction of autonomous vehicles will have a huge effect on the car market, but not for the obvious reasons—and not necessarily in the time frame that most people expect. Numerous sources say one automakers are very concerned about what kinds of vehicles people will buy once cars are autonomous. What will differentiate one car from another? And what will become of brands such as Por... » read more

Power Just One Piece Of The Puzzle At 10nm And Below


With dynamic power density and rising leakage power becoming more problematic at each new node, it is more important than ever to look at designs today with power in mind from the very start. As part of this complex picture of electronic design today, every piece in the design flow must tie together for the greatest efficiency and optimization. While this is partly power, there are more... » read more

The Efficiency Problem


Part one of this report addressed the efficiency problem in neural networks. This segment addresses efficiencies in training, quantization, and optimizing the network and the hardware. Minimize the Bits (CNN Advanced Quantization) Training a CNN involves assigning weight vectors to certain results, and applying adaptive filters to those results to determine the positives, false positives, a... » read more

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