(Formerly Processor Watch, Linley Wire, and Linley on Mobile)
Please feel free to forward this to your colleagues
January 25, 2018
Independent Analysis of Microprocessors and the Semiconductor Industry
Editor: Tom R. Halfhill
Contributor: Mike Demler
In This Issue:
- Neural Engines Rev Up Mobile AI
Speaking Slots Available: Linley Processor Conferences 2018
This year, we will host a Spring Processor Conference on April 11-12 and a Fall Processor Conference on October 31-November 1. Sponsored speaking slots are still available at both conferences.
At the Spring Processor Conference, the first day will focus on data-center products, including server processors and networking. The second day will focus on IoT hardware, including clients, gateways, wearable devices, and autonomous vehicles.
The Fall Processor Conference will feature our usual broad list of processor-related topics, including processors and IP for deep-learning, embedded, server, IoT, automotive, and networking applications.
We have slots remaining for sponsors at both conferences. Each sponsoring company receives one speaking slot and other promotion at the event and on our web site. Presentation proposals for the Spring Processor Conference are due on February 6, so if you are interested in sponsoring, please contact us as soon as possible at firstname.lastname@example.org.
Speakers are usually technical leaders from chip and IP vendors. Our events provide a great opportunity to present your latest product or technology to a knowledgeable and interested audience packed with potential customers and partners. We hope you can join us at the Hyatt Regency Santa Clara (in the heart of Silicon Valley) for one or both events.
Neural Engines Rev Up Mobile AI
By Mike Demler
Siri and Google Assistant popularized the use of machine learning applications on mobile devices. But they stream audio directly to the cloud, where deep neural networks (DNNs) running on powerful servers parse the spoken words. By contrast, new premium mobile processors can perform similar tasks directly thanks to their integrated neural-network engines (NNEs).
Although CPUs, GPUs, and DSPs can all run pretrained neural networks, they each make performance, power-consumption, precision, and programmability tradeoffs. Therefore, designers must employ heterogeneous-computing architectures that distribute the workload to the core best suited to each task. To further increase efficiency and enable more-complex machine learning, the trend is to augment the CPU/GPU/DSP complex with specialized deep-learning accelerators (DLAs).
Companies employing DLAs in their latest flagship processors include Apple, Huawei, and MediaTek. We expect Samsung will also integrate one in its next-generation Exynos. These integrated neural-network engines enable on-device machine-learning tasks ranging from keyword spotting for voice UIs to more complex biometric apps such as facial-, iris-, and voice-identification. Although the early focus for on-device machine learning has largely been augmented reality, computer vision, and personal digital assistants, locking a smartphone to its owner will increase its use for a plethora of security-sensitive applications such as mobile payments, which can help thwart identity theft.
Microprocessor Report subscribers can access the full article:
About Linley Newsletter
Linley Newsletter is a free electronic newsletter that reports and analyzes advances in microprocessors, networking chips, and mobile-communications chips. It is published by The Linley Group and consolidates our previous electronic newsletters: Processor Watch, Linley Wire, and Linley on Mobile. To subscribe, please visit:
Our previous subscription newsletters -- Microprocessor Report, Networking Report, and Mobile Chip Report -- are now consolidated in a single subscription newsletter: Microprocessor Report. MPR publishes articles with significantly more detail on the subjects covered in our free electronic newsletter. To subscribe, please visit:
...or contact us at 408.270.3772; email@example.com.
Back issues: http://www.linleygroup.com/mpr/archive.php?j=TLG
We encourage you to forward this newsletter to your colleagues. They may subscribe by visiting our web site using the link above.