Research Bits: March 6


2D TMDs on silicon Engineers at MIT, University of Texas at Dallas, Institute for Basic Science, Sungkyunkwan University, Washington University in St. Louis, University of California at Riverside, ISAC Research, and Yonsei University found a way to grow 2D materials on industry-standard silicon wafers while preserving their crystalline form. Using a new “nonepitaxial, single-crystalline g... » read more

Week In Review: Design, Low Power


Keysight Technologies acquired Cliosoft, add IP data management and design data to Keysight’s EDA portfolio. “The bigger vision is how we’re going to manage silicon lifecycle, from spec to tape-out. So you can have a data management and IP management layer and visibility into that data, and that ties into Keysight’s design and test software," said Simon Rance, vice president of marketi... » read more

Research Bits: Feb. 21


High-quality ‘chirps’ for automotive, industrial mmWave radar Imec demonstrated a low-power phase-locked loop (PLL) that generates high-quality frequency-modulated continuous-wave (FMCW) signals for mmWave radar, which can be used in short-range automotive and industrial radar applications. The FMCW radars popular in healthcare, automotive, and industrial send out sinusoidal waves that get... » read more

How Gamification Improves Semiconductor IP Reuse


In today’s increasingly complex semiconductor industry, companies are always looking for new and innovative ways to maximize the value of their Intellectual Property (IP) assets. One way to do this is through the use of crowdsourcing and gamification. Crowdsourcing is the process of obtaining services, ideas, or content by enlisting a large number of people, typically through an online platfo... » read more

Is RISC-V Ready For Supercomputing?


RISC-V processors, which until several years ago were considered auxiliary processors for specific functions, appear to be garnering support for an entirely different type of role — high-performance computing. This is still at the discussion stage. Questions remain about the software ecosystem, or whether the chips, boards, and systems are reliable enough. And there are both business and t... » read more

The Next Disruption


Machine learning (ML) is an inherently disruptive technology because the algorithm architectures are evolving so fast and are very compute intensive, requiring innovative silicon for acceptable performance. This blog looks at where we’ve been and where ML is going – into another market ready for disruption. ML started in the data center In the early days of the ML explosion – a mere 8 o... » read more

MIPI DSI-2 & VESA Video Compression Enable Next-Generation Displays


By Joseph Rodriguez and Simon Bussières It is hard to believe, but it has been 20 years since MIPI Alliance was first founded. The organization was originally formed to standardize the video interface technologies for cameras and displays in phones, with the MIPI acronym standing for Mobile Industry Processor Interface (MIPI). As the mobile industry has evolved, MIPI Alliance has evolved wi... » read more

Disaggregating And Extending Operating Systems


The push toward disaggregation and customization in hardware is starting to be mirrored on the software side, where operating systems are becoming smaller and more targeted, supplemented with additional software that can be optimized for different functions. There are two main causes for this shift. The first is rising demand for highly optimized and increasingly heterogeneous designs, which... » read more

Chiplets Taking Root As Silicon-Proven Hard IP


Chiplets are all the rage today, and for good reason. With the various ways to design a semiconductor-based system today, IP reuse via chiplets appears to be an effective and feasible solution, and a potentially low-cost alternative to shrinking everything to the latest process node. To enable faster time to market, common IP or technology that already has been silicon-proven can be utilized... » read more

Everything, Everywhere, All At Once: Big Data Reimagines Verification Predictability And Efficiency


Big data is a term that has been around for many years. The list of applications for big data are endless, but the process stays the same: capture, process and analyze. With new, enabling verification solutions, big data technologies can improve your verification process efficiency and predict your next chip sign-off. By providing a big data infrastructure, with state-of-the-art technologies... » read more

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