Ramifications for Intel; Verification moves to ASIC; Connected cars; Deep learning is coming; NXP TFT preview
Examining the industry’s transition to 5G, Dr. Venkata Renduchintala, Intel, describes the revolution of connectivity and why the company is shifting its SoC focus and exploit its ecosystem.
Coming from another angle, Chris Ciufo, Intel Embedded, assess the impacts of the recently announced changes at Intel, including the five pillars designed to support the company: data center, memory, FPGAs, IoT and 5G, with his thoughts on what it has in its arsenal to achieve the new course.
As FPGA verification flows move closer to those of ASICs, Dr. Stanley Hyduke, Aldec, looks at why the company has extended its verification tools for digital ASIC design, including the steps involved.
Software in vehicles is a sensitive topic for some, since the VW emissions scandal, but Synopsys took the opportunity of the Future Connect Cars Conference in Santa Clara, to highlight its Software Integrity Platform. Robert Vamosi, Synopsys, reports on some of the presentations at the event on the automotive industry.
Identifying excessive blocking in sequential programming as evil, Miro Samek, ARM, write a spirited and interesting blog on real-time design strategy and the need to keep it flexible, from the earliest stages.
Santa Clara also hosted the Embedded Vision Summit, and Chris Longstaff, Imagination Technologies, writes about deep learning on mobile devices. He notes that Cadence Design Systems highlighted the increase in the number of sensors in devices today, and Google Brain’s Jeff Dean talked about the use of deep learning via GoogLeNet Inception architecture. The blog also includes examples of Convolutional Neural Networks (CNN) and how PowerVR mobile GPUs can process the complex algorithms.
This week, NXP FTF (Freescale Technology Forum), in Austin, Texas, is previewed by Ricardo Anguiano, Mentor Graphics. He looks at a demo from the company, where a simultaneous debug of a patient monitoring system runs Nucleus RTOS on the ARM Cortex-M4. He hints at what attendees can see using Sourcery CodeBench with ARM processors and a link to heterogeneous solutions from the company.
Caroline Hayes, Senior Editor