SOAFEE brings cloud-native design to vehicles, says Arm and partners

To address the software-defined needs of cars today quickly and seamlessly, a standardised framework will enhance proven cloud-native technologies that work at scale with the real time and safety features required in automotive applications. The same framework can also benefit other real -time and safety critical applications, such as robotics and industrial automation.

Vehicle manufacturers, system integrators, semiconductor manufacturers, software developers and cloud technology companies have worked together to define SOAFEE (Scalable Open Architecture for Embedded Edge), for the software-defined vehicle. The SOAFEE reference implementation will be free open source software aimed at allowing broad prototyping, workload exploration and early development.

Building on Project Cassini and SystemReady from Arm, which enable a standards-based cloud-native experience at the edge, SOAFEE enables cloud concepts like container orchestration with automotive functional safety and in real time. Arm said it is working with commercial solutions providers to maximise compatibility and provide a faster route to functionally safe designs.

The immediate availability of SOAFEE will empower cloud-based developers to apply their expertise and contribute to vehicle electronics and software-architecture requirements, and driving the industry to a software-centric future.

“At AWS, we’re committed to innovation with key industry players like Arm to help solve complex challenges for delivering software-defined vehicles with a service-oriented architecture,” said Bill Foy, director, worldwide automotive business development at AWS. “In collaboration with Arm, and AWS’s Arm-based AWS Graviton2 instances, we . . . make it possible to run applications on the same architecture in the cloud and at the automotive edge to simplify developer workflow.”

AdLink’s new SystemReady-compatible development platform is powered by Arm Neoverse-based Ampere Altra cores and will allow workload exploration and development on Arm-based silicon using the SOAFEE reference software stack for applications such as cockpit, ADAS, powertrain and autonomous driving. The development platform comprises a developer workstation and a rugged in-vehicle product. It is available for pre-order, with general availability expected in Q4 2021.

Also announced today are the AVA developer platform – a 32-core scalable compute system built for lab-based development. It is capable of running autonomous workloads and allows developers to leverage accelerator hardware to complement CPUs.

For in-vehicle prototyping and testing, the AVA-AP1 has 80 cores for increased CPU performance, extra I/O capabilities and a safety processor to enable in-vehicle execution using real sensors.

In addition to support from AWS, ADLink, Ampere and CARIAD, the initiatives have received broad support from leaders across the supply chain including Apex.AI, Continental, Green Hills Software, Linaro, Marvell, MIH Consortium, Red Hat, SUSE, Woven Planet and Zing Robotics.

http://www.arm.com

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Qseven CoM celebrates 15 years with i.MX 8M Plus processor

To celebrate the 15th anniversary of Qseven computer on modules (COMs), congatec has introduced the conga-QMX8-Plus Qseven module based on the NXP i.MX 8M Plus application processor.

It has been introduced as an upgrade for all NXP i.MX 6-based Qseven applications. It brings modern machine learning and AI (artificial intelligence) capabilities as well as time sensitive networking (TSN) support for real-time Ethernet to those applications, said congatec. It will also extend their lifetime by an additional 10 to 15 years.

The i.MX 8M Plus application processor has 1.8GHz Arm Cortex-A53 quad-core performance and an additional integrated neural processing unit (NPU) with up to 2.3Tera operations per second. There is also a DSP that enables speech recognition applications.

The first i.MX processor with a machine learning accelerator, the i.MX 8M Plus provides higher performance for deep learning inference and AI at the edge. Typical power consumption is just 3.0W. The conga-QMX8-Plus module is supported by the 64-bit architecture and onboard LPDDR4 memory with up to 6Gbyte.

The i.MX 8M Plus processor is enhanced with AES encryption for higher cyber security. There is also the Arm TrustZone which integrates the resource domain controller (RDC) for isolated execution of critical software, and secure high assurance boot (HAB) mode to prevent the execution of unauthorised software during boot.

The image signal processor (ISP) for parallel real-time processing of high resolution images is another new feature. It includes H265 decoding / encoding.   

The modules can control up to three independent displays, connected via natively supported HDMI 2.0a, LVDS 2x24bit and MIPI-DSI, and provide hardware accelerated video decoding and encoding including H.265 so that high resolution camera streams delivered by two integrated MIPI-CSI interfaces can be sent directly to the network. For onboard data storage, the modules provide up to 128 GB 5.1 eMMC, which can also operate in safe pSLC mode, as well as one onboard µSD socket. Peripheral interfaces include one PCIe Gen 3, one USB 3.0, three USB 2.0, four UART as well as one CAN FD and 14 general purpose I/O ports. For real-time networking, the module offers 1Gbit with TSN support. There are also two I2S for sound. The supported operating systems include Linux, Yocto and Android.

Target market applications are industrial controls, smart robotics and factory automation to medical health care and retail, and from transportation and smart farming to smart cities and smart buildings.

https://www.congatec.com

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Secure embedded controllers integrate AI/ML acceleration

Built to power the next generation, always-connected IoT products, Alif Semiconductor’s Ensemble and Crescendo families are power-efficient devices which integrate AI/ML acceleration, multi-layered security, LTE Cat-M1 and NB-IoT connectivity, GNSS positioning, and memory.

The Ensemble family scales from single Arm Cortex®-M55 microcontrollers to so-called fusion processors which blend up to two Cortex-M55 cores, up to two Cortex-A32  microprocessor cores capable of running high-level operating systems, and up to  two Arm Ethos-U55 microNPUs for artificial intelligence (AI) and machine learning (ML)  acceleration.

The Ensemble family devices contain an advanced secure enclave that provides device integrity protection, secure identity, strong  root-of-trust and secure lifecycle management. They also have large on-chip SRAM and non-volatile memory, accelerated graphics, imaging, making them suitable for smart home automation, appliances, point of sale (PoS) terminals and robotics applications, said the company.

The Crescendo family offers the same functionality as the Ensemble family, with the addition of LTE Cat-M1 and NB-IoT cellular connectivity, optional iSIM for simplified subscriber management, integrated RF, power amplifiers, and a concurrent GNSS receiver. These capabilities make them well-suited for smart city, connected infrastructure, asset tracking, healthcare devices and wearable devices said the company, using a single chip to minimise size and weight.

To address the reliance on battery power in IoT devices, which can be challenging when there is a high requirement for local processing, AI/ML, and wireless communication, Alif Semiconductor has also introduced Autonomous Intelligent Power Management (aiPM) technology that allows fine-grained control of when resources  in the chip are being powered. This results in low power operation, enabling intelligent devices to last longer on smaller batteries.

“The solution that Alif delivers fills a significant gap in the market,” said Jerome Schang, head of Microsoft Azure Edge Silicon devices strategy. “We are always on the lookout for the most efficient technology platforms for our Edge experiences, and the Ensemble and Crescendo families are very well aligned with our customers’ needs.”

Ensemble and Crescendo devices are sampling now to lead customers. They are supported by Alif Semiconductor’s software, development tools and kits. Production qualification will be complete in 1Q22.

https://www.alifsemi.com/

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SOM-5883 COM is engineered for graphics performance

Equipped with 11th Generation Intel Core processors, the SOM-5883 computer on module (COM) is designed by Advantech for high-performance edge computing applications.

It is a COM Express Basic Type6 Module and offers octa-core computing performance under thermal dynamic performance (TDP) 45W. It also has Intel Iris Xe graphics and an Edge AI Suite software toolkit, which make the COM suitable for medical imaging and AI applications.

To resolve the heavy workload of image processing applications, SOM-5883 has the capability to support up to 128Gbyte DDR4 3200 SODIMM, with high capacity and high frequency memory technology. The COM includes high speed I/O interfaces including PCIe Gen4 and USB3.2 Gen2 (10Gbits per second) and 2.5Gbase-T for enhanced system expansion. There is also optional NVMe SSD and TPM2.0 onboard design. Other features are -40 to +85 degrees C operating temperature and 8.5 to 20V power input. As a result, says Advantech, the SOM-5883 is reliable and secure for edge computing requirements.

The SOM-5883 offers a 1.7X computing performance growth and 1.5X 3D graphics upgrade. Advantech provides Edge AI Suite containing Intel Open VINO and more than a hundred AI models.

There are four independent displays up to 4K over three DisplayPort 1.4 / HDMI 2.1, optional eDP or LVDS, and VGAl, and the COM is configurable up to two ports 8K HDR outputs. Graphics-driven applications such as ultrasound can achieve much more accurate diagnosis with the combination of native graphics engine and external expansion for system configuration, said Advantech. At the same time, SOM-5883 supports multiple cutting-edge I/O technologies. It enables high speed data transmission with improved bandwidth of 2.5G LAN and an NVMe SSD onboard, with the capability to transfer huge data between AIoT applications. The 2.5G LAN equipped with time sensitive networking (TSN) is suitable for automation or edge applications requiring low-latency. This technology fulfils the demand of real-time traffic, prioritising critical data in the communication process, such as transferring command, actions or safety information on time, said the company. It also supplies extraordinary USB4, which can be configured as DisplayPort, Thunderbolt, USB 3.2, and USB 2.0 in a slim USB-Type-C connector. Advantech also offers USB4 reference design documents and SOM-MZ10 development board, to help partners accelerate the implementation of new I/O technology.

Advantech’s QFCS (Quadra flow cooling system) thermal technology enables the SOM-5883 to release 100 per cent CPU power. The technology is not only efficient in heat dissipation but also thin, quiet and light, sufficiently so to be integrated into a 1U height slim chassis, added Advantech.

The SOM-5883 features error code correction (ECC) memory, TPM2.0 chip onboard to prevent cyber-threats, and also supports BIOS storage protection, security boot, BIOS power-management, plus WISE-DeviceOn for remote hardware monitoring and over-the-air (OTA) software update to prevent system malfunction.

http://www.advantech.eu

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