A New Dawn For IP


The IP industry is changing again. The concept started as build once, use everywhere, but today it is more like architect once, customize everywhere. Few designs can afford sub-optimal IP for their application. The need for customized IP is driven by both leading-edge designs and the trailing markets, although for different reasons. While this customization is causing IP companies to transfo... » read more

How to Manage One Trillion Devices on the Edge


THE EDGE, THE DATACENTER, AND NEW DESIGN PRINCIPLES: The world of compute is changing rapidly, as is the traditional view of a physical building, or buildings filled with servers, storage, and networking to “run the business”. Cloud computing, distributed cloud computing, and edge computing will all be fed by a 5G access network, forcing IT organizations to think and plan differently. Th... » read more

Blog Review: Dec. 11


Arm's Urmish Thakker investigates ways to make recurrent neural networks run on resource constrained devices with limited cache and compute resources by reducing the number of RNN computations, without the need to retrain the original RNN model. Mentor's Brent Klingforth digs into the challenges of designing rigid-flex PCBs and how advanced capabilities in modern tools, like awareness of sta... » read more

5 Major Shifts In Automotive


Much of the automotive industry has begun repositioning and retrenching over the past few months, pushing back the projected rollout for fully autonomous vehicles and changing direction on power sources and technology used in the next-generation of electric vehicles. Taken together, these shifts mark a significant departure for traditional automakers, which find themselves playing catch-up t... » read more

Week In Review: Design, Low Power


Cadence signed a deal to buy National Instruments’ AWR business unit for about $160 million in cash, a move that Cadence describes as a way to broaden its market into intelligent system design. AWR’s strength is high-frequency RF design automation tools, particularly in the millimeter wave and microwave spectrums, which are critical for radar and 5G. It also has technology for III-V materia... » read more

Week In Review: IoT, Security, Auto


Internet of Things SiFive is bringing RISC-V to IoT makers and university developers through the RISC-V-based SiFive Learn Initiative, an open-source learning package that can be used to create a low-cost RISC-V hardware compatible with AWS IoT Core. The development platform SiFive Learn Inventor has a software package and education enablement course. It includes: The programmable SiFive Lear... » read more

A Trillion Security Risks


An explosion in IoT devices has significantly raised the security threat level for hardware and software, and it shows no sign of abating anytime soon. Sometime over the next decade the number of connected devices is expected to hit the 1 trillion mark. Expecting all of them to be secure is impossible, particularly as the attack surface widens and the attack vectors become more sophisticated... » read more

Blog Review: Dec. 4


Arm's Rupal Gandhi digs into the Cell-Aware Test methodology to deterministically target the growing number of defects that occur within the cells, the process of CAT library generation, and compares the static and transition patterns generated. Cadence's Paul McLellan shares highlights from the recent WOSET event with a look at the big drivers for the current interest in open-source EDA too... » read more

Using FPGAs For AI


Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Week In Review: IoT, Security, Autos


Internet of Things Amazon is expanding its IoT services. Alexa Voice Services will require less processing power on the device, moving from the 100MB of RAM and Arm Cortex A microprocessor to 1MB and an Arm Cortex-M. Amazon will do more of the processing in the cloud, enabling developers to add Alexa to smaller, single purpose devices. “It just opens up the what we call the real ambient inte... » read more

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