Blog Review: Aug. 16


Cadence's Paul McLellan checks out how Imec sees the future of transistors and the challenges of 3D logic. Synopsys' Robert Vamosi gets a lesson on the electronic systems powering modern cars, and considers when it's ethical to hack one. Mentor's Colin Walls takes a look at how to pass data between RTOS tasks. Rambus' Aharon Etengoff looks at recent semi market predictions, from expand... » read more

How Reliable Are FinFETs?


Stringent safety requirements in the automotive and industrial sectors are forcing chipmakers to re-examine a number of factors that can impact reliability over the lifespan of a device. Many of these concerns are not new. Electrical overstress (EOS), electrostatic discharge (ESD) and [getkc id="160" kc_name="electromigration"] (EM) are well understood, and have been addressed by EDA tools f... » read more

Using CNNs To Speed Up Systems


Convolutional neural networks (CNNs) are becoming one of the key differentiators in system performance, reversing a decades-old trend that equated speed with processor clock frequencies, the number of transistors, and the instruction set architecture. Even with today's smartphones and PCs, it's difficult for users to differentiate between processors with 6, 8 or 16 cores. But as the amount o... » read more

Blog Review: Aug. 9


Cadence's Paul McLellan digs into a recently discovered vulnerability in the Broadcom Wi-Fi chip used in many smartphones and why it should be a wakeup call for SoC designers. Mentor's Craig Armenti considers whether work-in-process design data management is an asset or a liability. Synopsys' Thomas M. Tuerke notes that in code, as in medicine, proper hygiene is should be treated as a con... » read more

Electrification: Achieving Next-Level Performance


Engineered electrical systems for energy production, distribution and consumption are incredibly complex — and becoming even more sophisticated as their functionality increases. Dramatically improving the efficiency of these systems means relying on engineering simulation to introduce extreme innovation, quickly and cost-effectively. To read more, click here. » read more

The Rising Value Of Data


The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » read more

The Week In Review: Design


M&A Invecas will acquire Lattice Semiconductor's HDMI design team and Simplay Labs subsidiary, which oversees standards compliance and interoperability testing services. Invecas supplies foundation, analog, and interface IP optimized for GlobalFoundries processes. The deal is expected to close later this month. Last year, Lattice announced it would be acquired by Chinese private equity fir... » read more

Using Machine Learning In EDA


Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

Blog Review: Aug. 2


In a video, Cadence's Marc Greenberg describes the post-package repair capability in LPDDR4 and why it's important for future LP/DDR5 memories. Synopsys' Kiran Vittal looks at formal, machine learning, and when computers beat humans at games. Mentor's Matt Knowles digs into how cell-aware diagnosis works and why it can find tricky finFET defects. ARM's Freddi Jeffries digs into why com... » read more

Machine Learning Popularity Grows


Machine learning and deep learning are showing a sharp growth trajectory in many industries. Even the semiconductor industry, which generally has resisted this technology, is starting to changing its tune. Both [getkc id="305" kc_name="machine learning"] (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural langua... » read more

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