tag: energy efficiency

Is Programmable Overhead Worth The Cost?
By Brian Bailey - 13 Jan, 2022 - Comments: 0

Programmability has fueled the growth of most semiconductor products, but how much does it actually cost? And is that cost worth it? The answer is more complicated than a simple efficiency formula. It can vary by application, by maturity of technology in a particular market, and in the context of much larger systems. What's considered important for one design may be very different for anothe... » read more

AI Goes Ultra Low Power — Part 1
By Fraunhofer IIS/EAS - 12 Jan, 2022 - Comments: 0

Based on the concept of the new Federal Agency for Jump Innovations (PSRIN-D), the BMBF initiated three pilot innovation competitions. One of them presented the participants with the task of developing the most energy-efficient AI system possible as a hardware implementation on an ASIC or FPGA. With this, a stack of hundreds of two-minute long ECG signals should be analyzed with a minimum of en... » read more

Batteries Have Moving Parts
By Katherine Derbyshire - 16 Dec, 2021 - Comments: 0

The race is on to make lithium-ion batteries safer, to increase the amount of energy that can be drawn out of these devices, and to reduce the time it takes to charge them up again. Transistors and other electronic components depend on the movement of electrons, which are effectively massless and dimensionless relative to the semiconductor, metal, and dopant atoms that surround them. A batte... » read more

Motional narrowing, ballistic transport, and trapping of room-temperature exciton polaritons in an atomically-thin semiconductor
By Technical Paper Link - 10 Dec, 2021 - Comments: 0

Abstract "Monolayer transition metal dichalcogenide crystals (TMDCs) hold great promise for semiconductor optoelectronics because their bound electron-hole pairs (excitons) are stable at room temperature and interact strongly with light. When TMDCs are embedded in an optical microcavity, excitons can hybridise with cavity photons to form exciton polaritons, which inherit useful properties from... » read more

Improving Energy And Power Efficiency In The Data Center
By Ann Mutschler - 06 Dec, 2021 - Comments: 0

Energy costs in data centers are soaring as the amount of data being generated explodes, and it's being made worse by an imbalance between increasingly dense processing elements that are producing more heat and uneven server utilization, which requires more machines to be powered up and cooled. The challenge is to maximize utilization without sacrificing performance, and in the past that has... » read more

More Data Drives Focus On IC Energy Efficiency
By Ann Mutschler - 08 Apr, 2021 - Comments: 0

Computing workloads are becoming increasingly interdependent, raising the complexity level for chip architects as they work out exactly where that computing should be done and how to optimize it for shrinking energy margins. At a fundamental level, there is now more data to compute and more urgency in getting results. This situation has forced a rethinking of how much data should be moved, w... » read more

Usage Models Driving Data Center Architecture Changes
By Ann Mutschler - 11 Feb, 2021 - Comments: 0

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to the various memory hierarchies, from SRAM to DRAM to storage. There is more data to process, and it takes less energy and time to process that data in place. But workloads also are being distrib... » read more

Is Computing Facing An Energy Crisis?
By Rob Aitken - 14 Jan, 2021 - Comments: 1

Is the end near? If the topic is energy efficiency gains in computing, the answer depends on whom you ask. The steady increase in performance per watt over the decades has been one of the most important drivers in our industry. Last year I was thumbing through a neighbor’s 1967 Motorola IC catalog that featured such space age wonders as a small control chip of the sort that went into th... » read more

Power Models For Machine Learning
By Brian Bailey - 14 Dec, 2020 - Comments: 1

AI and machine learning are being designed into just about everything, but the chip industry lacks sufficient tools to gauge how much power and energy an algorithm is using when it runs on a particular hardware platform. The missing information is a serious limiter for energy-sensitive devices. As the old maxim goes, you can't optimize what you can't measure. Today, the focus is on functiona... » read more

Low Power Still Leads, But Energy Emerges As Future Focus
By Ann Mutschler - 10 Dec, 2020 - Comments: 1

In 2021 and beyond, chips used in smartphones, digital appliances, and nearly all major applications will need to go on a diet. As the amount of data being generated continues to swell, more processors are being added everywhere to sift through that data to determine what's useful, what isn't, and how to distribute it. All of that uses power, and not all of it is being done as efficiently as... » read more

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