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Jesse Allen

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Jesse Allen is the Knowledge Center administrator and a senior editor at Semiconductor Engineering.

Author's Latest Posts

Power/Performance Bits: April 8
By Jesse Allen - 08 Apr, 2019 - Comments: 0

Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Week In Review: Design, Low Power
By Jesse Allen - 05 Apr, 2019 - Comments: 0

Tools & IP Cadence entered the system design and analysis market with the release of Clarity 3D Solver, which creates S-parameter models for use in signal integrity, power integrity, and electromagnetic compliance analysis. The tool uses a distributed adaptive meshing approach for cloud and on-premises distributed computing and it optimized to distribute a job across multiple low-cost comp... » read more

Blog Review: April 3
By Jesse Allen - 03 Apr, 2019 - Comments: 0

Synopsys' Taylor Armerding contends that as the IoT becomes more ubiquitous, the threat of cyber-physical attacks is rising, with the potential for a domino effect if even simple devices are compromised in large enough quantities. Mentor's Colin Walls considers the move away from programming on bare metal with the rise of drivers and RTOSes and when it makes sense to still use the old method... » read more

Power/Performance Bits: April 2
By Jesse Allen - 02 Apr, 2019 - Comments: 0

DNA programming Computer scientists at California Institute of Technology, University of California, Davis, Maynooth University, and Harvard University created a library of DNA molecules that can self-assemble to compute a variety of algorithms. Each molecule represents a six-bit binary number. The library created by the team is made up of around 700 short pieces, or tiles, of DNA. Each DNA... » read more

Week In Review: Design, Low Power
By Jesse Allen - 29 Mar, 2019 - Comments: 0

ON Semiconductor will acquire Quantenna Communications for $24.50 per share in an all cash transaction, representing an equity value of approximately $1.07 billion and enterprise value of approximately $936 million. Quantenna, a maker of Wi-Fi chipsets, was founded in 2006 and went public in late 2016. Tools & IP Achronix completed testing and is now demonstrating the 112 Gbps SerDes th... » read more

Blog Review: Mar. 27
By Jesse Allen - 27 Mar, 2019 - Comments: 0

Rambus' Steven Woo takes a look at the memory requirements of neural networks and why some companies are using on-chip memory while others are using HBM2 or GDDR6. Cadence's Lana Chan  observes growing momentum for NVMe and highlights some new features in the latest specification that are pushing mainstream adoption forward. Mentor's Matthew Ballance contends that when it comes to adopti... » read more

Power/Performance Bits: Mar. 26
By Jesse Allen - 26 Mar, 2019 - Comments: 0

Material holds both electrons, holes Researchers at Ohio State University discovered a material that can hold both electrons and holes. They hope the material, the layered metal crystal NaSn2As2, could simplify electronics, potentially removing the need for multiple layers or materials. "It is this dogma in science, that you have electrons or you have holes, but you don't have both. But our... » read more

Week In Review: Design, Low Power
By Jesse Allen - 22 Mar, 2019 - Comments: 0

Synopsys announced several new products: a new test family, a physical verification solution, and a software library for neural net SoCs. TestMAX, the new family of test products, includes soft error analysis and X-tolerant logic BIST for automotive test and functional safety requirements. TestMAX enables test through functional high-speed interfaces and supports early validation of DFT logi... » read more

Blog Review: Mar. 20
By Jesse Allen - 20 Mar, 2019 - Comments: 0

Cadence's Paul McLellan argues that rapid improvements in the performance of general-purpose computing led to a lack of innovation in domain-specific architectures, but as scaling slows, they're entering a new golden age. In a video, Mentor's Colin Walls takes a look at the use of floating point in an embedded application and some of the pitfalls associated with it. Synopsys' Taylor Armer... » read more

Power/Performance Bits: Mar. 19
By Jesse Allen - 19 Mar, 2019 - Comments: 0

Explainable AI Researchers from Technische Universität Berlin (TU Berlin), Fraunhofer Heinrich Hertz Institute (HHI), and Singapore University of Technology and Design (SUTD) propose a pair of algorithms to help determine how AI systems reach their conclusions. Explainable AI is an important step towards practical applications, argued Klaus-Robert Müller, Professor for Machine Learning at... » read more

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