Linley Processor Conference: Heterogeneous Computing, IoT Security and the Future of the Automotive Industry

Recently, I had the privilege of attending the 2015 Linli Processors Conference in San Jose to share some of my insights with you.

Jim Nicholas, vice president of the ImaginaTIonMIPS business unit, delivered a speech entitled "Heterogeneous System Architecture: Right Around You". Jim's presentation also represents the HSA Foundation and is part of a high-performance processor design workshop. Other speakers included speeches from Synopsys, Cadence, NetSpeed ​​and Marvell.

As previously stated, ImaginaTIon is a founding member of the non-profit organization HSA Foundation. The organization aims to create hardware and software standards and to simplify programming models to help software developers better utilize the power of modern CPUs and GPUs.

The Foundation's mission is to unlock the performance and power of the parallel computing engine used in most modern electronic devices. As our devices become more complex, the number and types of components within the processor are becoming more and more targeted – heterogeneous computing seems to be the most logical direction.

At the conference, Jim provided the embedded system community with the latest developments on the HAS Foundation:

• Earlier this year, the Foundation released the 1.0 specification to improve the programmability of heterogeneous processors, the portability of program code, and the interoperability of devices from different vendors.

• Members who are preparing for HSA certification and are testing their platform can test the consistency of HAS online

• Foundation members have released products based on heterogeneous architectures, and more members are coming soon; AMD is currently deploying its Carrizo APU with full HSA features.

• HAS system software has released open source system software on the Foundation website

If you are interested in learning more about the progress of the Foundation, please read the summary of Jim's speech.

John Min, director of processor technology at ImaginaTIon, also delivered a keynote speech on SoC security for IoT devices, entitled "Connections and Heterogeneity: Everything Ensures SoC Security in the Age of Internet of Things." John said that the importance of security is increasing, and security has become a design concern for SoC designers – whether the terminal is an entry device or a high-end device.

He pointed out that with the emergence of the Internet of Things, all aspects of our lives are vulnerable to hackers, so software-only security is not enough. He emphasized that hardware-based virtualization at the processor level can bring new isolation and security features. ImaginaTIon's OmniShield-enabled processor and other basic security technologies promise multi-domain security.

The most exciting thing for me was that the two-day Linley Processor Conference discussed new tracking technologies for advanced automotive applications and autonomous vehicles.

The discussion provided a unique insight into the advancement of fully automated SoCs. For example, visual SoC-based ADAS applications such as collision avoidance, lane departure warning, pedestrian detection, and maintaining driver alertness. These features that have been targeted at luxury cars are now rapidly entering the ordinary family life.

There are also people interested in introducing neural networks and deep learning techniques into embedded systems that were once considered part of the data center space. In short, neural network technology attempts to mimic the human brain. Our brains are good at using a variety of neural networks for cognitive processing, including sound, vision, and other senses. These networks evolve over time - the human brain collects and analyzes data and trains the system to recognize the outside world and handle the corresponding reactions. Embedded engineers are working hard to bring advanced awareness and reaction to SoC design. The embedded community is also beginning this journey of bringing powerful computing to our fingertips, and the biggest challenge is simply the power of computing power, power constraints, and algorithms.

Autonomous vehicles are another area of ​​concern for the embedded community. In fact, when it comes to group meetings with representatives of Ford and some startups, there is a clear concept that driverless cars make the intersection of system designers and players they have never touched before. Participants agreed that the concept of re-certification after an accident (automatically driving a car) will lead the chip and car dealer/repair industry to a direction we have never envisioned before. Although some people have predicted that there will be about 8 million self-driving cars in the world by 2030, the consensus is that the development of the industry will be largely determined by the government and insurance institutions.

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