3 Big Challenges For 5G


The general assumption is that we will all be walking around with 5G phones in our pockets someday, but 5G devices may look more like a home router, a car, or maybe even a tablet than a smart phone. There are three main problems that need to be solved here. The big one is coverage, and that gets confusing because it depends on which version of 5G people are talking about. There are at least ... » read more

Getting To Automotive Grade


Given the amount of activity surrounding automotive semiconductor design today design teams want to know how to approach designs for a market they may not yet be intimately familiar with. EDA vendors are very quickly ramping tools and services to help them get there. One of these is Mentor, A Siemens Business, which has actually been working in this market segment for two decades. Andrew ... » read more

Physical Verification For Silicon Photonics: Don’t Panic!


Silicon photonics augments traditional electrical signals in integrated circuits (ICs) with light transmission to speed up data transfer and reduce power consumption. According to MarketsandMarkets, the overall silicon photonics market is worth approximately $774.1M in 2018, and is expected to reach $1,988.2M by 2023, at a CAGR of 20.8% between 2018 and 2023  [1]. Cloud computing is one market... » read more

A Primer On Last-Level Cache Memory For SoC Designs


System-on-chip (SoC) architects have a new memory technology, last level cache (LLC), to help overcome the design obstacles of bandwidth, latency and power consumption in megachips for advanced driver assistance systems (ADAS), machine learning, and data-center applications. LLC is a standalone memory that inserts cache between functional blocks and external memory to ease conflicting requireme... » read more

Build In Functional Safety Early


In the automotive world, recalls for electronics affect about five percent of the vehicles on the road. That means 5 out of every 100 vehicles today have a problem with their electronics. If we want to see more autonomous driving vehicles, that number must be improved. There needs be more robustness in the development process. Making cars safer today is Advanced Driver Assistance System (ADA... » read more

Deriving Configuration Time For eFPGAs


Part 1 of this blog post described how to configure an eFPGA, using Achronix’s Speedcore eFPGA as an example. It explained why each instance of the eFPGA in an ASIC or SoC design must be configured after the system powers up due to its nonvolatile SRAM technology to store configuration bits. This post will detail how the configuration time is derived, once again using Speedcore eFPGA as th... » read more

Flexible, Energy-Efficient Neural Network Processing At 16nm


At Hot Chips 30, held in August in Silicon Valley, Harvard University (Paul Whatmough, SK Lee, S Xi, U Gupta, L Pentecost, M Donato, HC Hseuh, Professor Brooks and Professor Gu) made a presentation on “SMIV: A 16nm SoC with Efficient and Flexible DNN Acceleration for Intelligent IOT Devices. ” (Their complete presentation is available now on the Hot Chips website for attendees and will be p... » read more

Effectively Fighting Fake Medical Products


Counterfeit goods have long existed. The worldwide ‘black market’ for brand-name items like purses and sunglasses is estimated to exceed $460B (Los Angeles Times, 2017). While fashion brands make up the majority of this illicit market, a very concerning trend is the rising amount of counterfeit medical products, including equipment, medicines, and vaccines. The World Health Organization ... » read more

IoT Meets ML


AI and machine learning are the next big things, and they're going make a huge difference in the adoption and capabilities of the IoT. Unlike previous technology approaches, AI, machine learning and deep learning are based on patterns. In effect, they raise up the level of abstraction for data. An image of a cat can be megabytes of data, and a cat taken from all angles may be gigabytes of da... » read more

Auto Chip Ecosystem Needs Common Language


In order to reach the levels of robustness that autonomous vehicles will require, companies throughout the automotive and semiconductor ecosystem are working with an eye toward high-sigma design. But along with this robustness, there must be a clear understanding of the situation at hand, how semiconductors can improve the number of vehicle fatalities, and make sure everyone is communicating... » read more

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