Author's Latest Posts


The Return Of Body Biasing


Body biasing is making a comeback across a wide swath of process nodes as designers wrestle with how to build mobile devices with more functionality and longer battery life. Consider an ultra-low-power IoT device with a wireless sensor, for example, which is meant to last for years without changing a battery. Body biasing can be used to create an ultra-low-leakage sleep state. “In that ... » read more

System Bits: Nov. 14


Tracking cyber attacks According to Georgia Tech, assessing the extent and impact of network or computer system attacks has been largely a time-consuming manual process, until now since a new software system being developed by cybersecurity researchers here will largely automate that process, allowing investigators to quickly and accurately pinpoint how intruders entered the network, what data... » read more

Getting Power Management Right


Getting power management right in the era of heterogeneous SoCs is a multi-pronged effort, there's no getting around it. Engineering teams daily try to squeeze more and more power from their designs, which many times includes adding human resources and expertise to the project. Take an example where a design team leader gets the mandate to include high level synthesis in the design metho... » read more

Lots Of Little Knobs For Power


Dynamic power is becoming a much bigger worry at new nodes as more finFETs are packed on a die and wires shrink to the point where resistance and capacitance become first-order effects. Chipmakers began seeing dynamic power density issues with the first generation of [getkc id="185" kc_name="finFETs"]. While the 3D transistor structures reduced leakage current by providing better gate contro... » read more

System Bits: Nov. 7


Exposing logic errors in deep neural networks In a new approach meant to brings transparency to self-driving cars and other self-taught systems, researchers at Columbia and Lehigh universities have come up with a way to automatically error-check the thousands to millions of neurons in a deep learning neural network. Their tool — DeepXplore — feeds confusing, real-world inputs into the ... » read more

Chiplets Gaining Steam


Building chips from pre-verified chiplets is beginning to gain traction as a way of cutting costs and reducing time to market for heterogeneous designs. The chiplet concept has been on the drawing board for some time, but it has been viewed more as a possible future direction than a necessary solution. That perception is beginning to change as complexity rises, particularly at advanced nodes... » read more

Big Trucks Go Electric, Autonomous


As the automotive ecosystem increases efforts across the board including commoditization as part of the ramp to autonomous vehicles, the news feed is replete with examples. In the area of big trucks, Mitsubishi Fuso Truck and Bus Corporation (MFTBC), part of Daimler Trucks, said at the recent Tokyo Motor Show that it would electrify its complete range of trucks and buses in upcoming years. F... » read more

Faster Commoditization In Cars


Sensors are at the heart of assisted and autonomous driving, but even before these devices hit the road the average selling prices of these components will have to fall far enough to be affordable to a mass audience. Achieving economies of scale is what has made the semiconductor industry successful over the past half century. It has enabled semiconductors to proliferate and for electronics ... » read more

System Bits: Oct. 31


Software enables cars to auto-report diagnostics Thanks to researchers at MIT, it may soon be possible to hop into a ride-share car, glance at a smartphone app, and tell the driver that the car’s left front tire needs air, its air filter should be replaced next week, and its engine needs two new spark plugs. [caption id="attachment_409967" align="alignnone" width="300"] A new smartphone a... » read more

Dealing With Deadlocks


Deadlocks are becoming increasingly problematic as designs becoming more complex and heterogeneous. Rather than just integrating IP, the challenge is understanding all of the possible interactions and dependencies. That affects the choice of IP, how it is implemented in a design, and how it is verified. And it adds a whole bunch of unknowns into an already complex formula for return on inves... » read more

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