More Performance At The Edge


Shrinking features has been a relatively inexpensive way to improve performance and, at least for the past few decades, to lower power. While device scaling will continue all the way to 3nm and maybe even further, it will happen at a slower pace. Alongside of that scaling, though, there are different approaches on tap to ratchet up performance even with chips developed at older nodes. This i... » read more

Energy At The Edge


Ever since the first mention of the IoT, everyone assumed there would be billions of highly efficient battery-powered devices that drew milliwatts of energy. As it turns out, we are about to head down a rather different path. The enormous amount of data that will be gathered by sensors everywhere cannot possibly be sent to the cloud for processing. The existing infrastructure cannot handle i... » read more

Blazing-Fast Performance


When it comes to raw performance, there's nothing like a supercomputer. Until recently, though, most of this was simply bragging rights about whose supercomputer was faster. A trillion calculations (petaflop), more or less, doesn't mean that much outside of scientific circles. What's changing is that companies and governments now can utilize these blazing fast machines across a wider swath o... » read more

Higher Performance, Lower Power Everywhere


The future of technology is all about information—not just data—at our fingertips, anywhere and at any time. But making all of this work properly will require massive improvements in both performance and power efficiency. There are several distinct pieces to this picture. One is architectural, which is possibly the simplest to understand, the most technologically challenging to realize, ... » 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

Exponentials At The Edge


The age of portable communication has set off a scramble for devices that can achieve almost anything a desktop computer could handle even five years ago. But this is just the beginning. The big breakthrough with mobile devices was the ability to combine voice calls, text and eventually e-mail, providing the rudiments of a mobile office-all on a single charge of a battery that was light enou... » read more

Customizing Power And Performance


Designing chips is getting more difficult, and not just for the obvious technical reasons. The bigger issue revolves around what these chips going to be used for-and how will they be used, both by the end user and in the context of other electronics. This was a pretty simple decision when hardware was developed somewhat independently of software, such as in the PC era. Technology generally d... » read more

Warp Speed Ahead


The computing world is on a tear, but not just in one direction. While battery-powered applications are focused on extending the time between charges or battery replacements, there is a whole separate and growing market for massive improvements in speed. Ultimately, this is where quantum computing will play a role, probably sometime in the late 2020/early 2030 timeframe, according to multipl... » read more

Noise At 7nm And Beyond


The digital and analog worlds always have been very different. Digital engineers see the world in terms of electrons and a well-defined set of numerical values. Their waves are discrete and squared off and their devices are often noisy when they turn on and off. Analog engineers think in terms of quiet, smooth waves, and they are very concerned about anything that can disrupt those waves, such ... » read more

Quantum Madness


The race is on to commercialize quantum computing for everything from autonomous vehicles to supercomputers for hire. IBM has been working on a 50-qubit computer. Intel and QuTech, its Dutch research partner, showed off a 17-qubit test chip last month. And Alphabet, Google's parent company, is developing a 20-qubit computer. These numbers sound paltry compared to the billions of transistors ... » read more

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