Synopsys and Infineon prepare for expanding AI use in automotive applications

Synopsys and Infineon prepare for expanding AI use in automotive applications
by Tom Simon on 10-03-2019 at 10:38 am
Categories: Automotive, IP, Synopsys

We all know that cars are using processors for many tasks, but it is easy to fail to comprehend just how many there are in a typical modern car. Browsing through the Infineon AURIX automotive processor application guide, you can start to see just how pervasive processors are. The AURIX processors are specifically designed for automotive… Read More

April 12, 2019November 22, 2019

Real Time Object Recognition for Automotive Applications

Real Time Object Recognition for Automotive Applications
by Tom Simon on 04-12-2019 at 7:00 am
Categories: AI, Automotive, eFPGA, Events, Flex Logix, IP

The basic principles used for neural networks have been understood for decades, what have changed to make them so successful in recent years are increased processing power, storage and training data. Layered on top of this is continued improvement in algorithms, often enabled by dramatic hardware performance improvements.… Read More

August 21, 2018

Computer Vision Design with HLS

Computer Vision Design with HLS
by Bernard Murphy on 08-21-2018 at 7:00 am
Categories: AI, EDA, IoT, Mentor, a Siemens Business
3 Comments

I’m on a mini-roll on the subject of high-level design for ML-based systems. No complaints from me, this is one of my favorite domains and is certainly a hot area; it’s great to that EDA vendors are so active in advancing ML-based design. Here I want to talk about the Catapult HLS flow for use in ML design.

Since I’ve covered the ML topic… Read More

August 14, 2018

Architecting an ML Design

Architecting an ML Design
by Bernard Murphy on 08-14-2018 at 7:00 am
Categories: AI, EDA, Synopsys

Discussion on machine learning (ML) and hardware design has been picking up significantly in two fascinating areas: how ML can advance hardware design methods and how hardware design methods can advance building ML systems. Here I’ll talk about the latter, particularly about architecting ML-enabled SoCs. This approach is … Read More

July 12, 2018

Deep Learning: Diminishing Returns?

Deep Learning: Diminishing Returns?
by Bernard Murphy on 07-12-2018 at 7:00 am
Categories: AI
10 Comments

Deep learning (DL) has become the oracle of our age – the universal technology we turn to for answers to almost any hard problem. This is not surprising; its strength in image and speech recognition, language processing and multiple other domains amaze and shock us, to the point that we’re now debating AI singularities. But then,… Read More

November 17, 2017

Tensilica Vision P6 DSP is Powering Huawei Kirin 970 Image

Tensilica Vision P6 DSP is Powering Huawei Kirin 970 Image
by Eric Esteve on 11-17-2017 at 7:00 am
Categories: Cadence, IP, Mobile

Cadence has recently announced two key design-in for their Vision DSP IP family: MediaTek’s Helio P30 integrates the Tensilica Vision P5 DSP and HiSilicon has selected the Cadence® Tensilica® Vision P6 DSP for its 10nm Kirin 970 mobile application processor. The Kirin 970 being integrated into Huawei’s new Mate 10 Series mobile… Read More

November 1, 2017

Synopsys discusses the challenges of embedded vision processing

Synopsys discusses the challenges of embedded vision processing
by Tom Simon on 11-01-2017 at 12:00 pm
Categories: AI, IP, Mobile, Synopsys

Before the advent of convolutional neural networks (CNN), image processing was done with algorithms like HOG, SIFT and SURF. This kind of work was frequently done in data centers and server farms. To facilitate mobile and embedded processing a new class of processors was developed – the vision processor. In addition to doing a … Read More

October 24, 2017

DSP-Based Neural Nets

DSP-Based Neural Nets
by Bernard Murphy on 10-24-2017 at 7:00 am
Categories: AI, CEVA, IoT, Mobile, Security
4 Comments

You may be under the impression that anything to do with neural nets necessarily runs on a GPU. After all, NVIDIA dominates a lot of what we hear in this area, and rightly so. In neural net training, their solutions are well established. However, GPUs tend to consume a lot of power and are not necessarily optimal in inference performance… Read More

October 19, 2017November 22, 2019

Accelerating Accelerators

Accelerating Accelerators
by Bernard Murphy on 10-19-2017 at 7:00 am
Categories: Achronix, AI, eFPGA, Events, FPGA

Accelerating compute-intensive software functions by moving them into hardware has a long history, stretching back (as far as I remember) to floating-point co-processors. Modern SoCs are stuffed with these applications, from signal processors, to graphics processors, codecs and many more functions. All of these accelerators… Read More

July 11, 2017June 14, 2019

Synopsys New EV6x Offers 4X More Performance to CNN

Synopsys New EV6x Offers 4X More Performance to CNN
by Eric Esteve on 07-11-2017 at 7:00 am
Categories: Automotive, IP, Synopsys

When Synopsys bought Virage Logic in 2010, ARC processor IP was in the basket, but at that time ARC processor core was not the most powerful on the market, and by far. The launch of EV6x vision processor sounds like Synopsys has moved ARC processor core by several orders of magnitude in term of processing power. EV6x deliver up to 4X … Read More

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