Xtensa processors meet ISO 26262 compliance to ASIL-D

Cadence Tensilica Xtensa processors with FlexLock capability meet the ISO 26262:2018 standard to ASIL-D, the highest level possible under the Automotive Safety Integrity Level rating. The functional safety certification spans from base microcontroller to high-performance DSP, each with a configuration option for FlexLock to provide increased random fault protection. The processor have been developed following a robust safety process to protect against systematic faults. Tensilica Xtensa processors with FlexLock are suitable for the automotive market and tailored for AI, vision, radar, lidar, audio, vehicle-to-everything (V2X), and control applications.

The Cadence Tensilica FlexLock processors optimised for automotive applications are among the first in the industry to achieve full compliance with ASIL-D functional safety standards, said Wolfgang Ruf, head of functional safety for semiconductors at SGS-TÜV Saar. “Certification to . . . . the ISO 26262:2018 standard for ASIL-D systematic and random fault avoidance is a testament to the high functional safety quality of Cadence’s IP. SoC designers are assured that their designs using functional safety-certified Tensilica processor IP can achieve compliance with the automotive industry’s stringent safety-critical requirements,” he added.

Key to ASIL-D compliance is the new FlexLock capability, which adds lockstep support to the flexible and extensible Xtensa processor architecture. Lockstep is a proven method for increasing safety in software execution by providing redundancy of the core logic at the hardware level. In addition to ASIL-D certification, FlexLock also gives design teams the ability to accommodate two cores running independently in ASIL-B solutions and the option of running local memories and caches of two cores in lockstep, achieving even greater levels of protection against memory faults.

“Higher levels of autonomy require more intelligent computing at the edge in automotive applications, which is driving the need for higher levels of functional safety,” said Larry Przywara, senior group director, Tensilica marketing at Cadence. “With the introduction of FlexLock capability, users of Tensilica controllers and DSPs can achieve the highest level of certification, ASIL-D, and the protection it brings against random hardware faults. Designers choosing Tensilica IP to accelerate their ADAS [advanced driver assistance systems], radar, lidar, V2X and vision processing can do so with the confidence that they can meet their customers’ functional safety requirements.”

As with other Xtensa processors, the ASIL-D certified cores can be customised using the Tensilica Instruction Extension (TIE) language. This allows the IP to be optimised for the specific application, combining the right level of performance with the highest levels of safety.

The Tensilica Xtensa processors with FlexLock capability are available now.

http://www.cadence.com

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Neural network detects faces in 12milliseconds

Faces can be detected in video and still images at 12 milliseconds per inference in the Detectum neural network created by Xailient. The IoT face detection system uses Maxim Integrated’s MAX78000 AI microcontroller.

Xailient’s neural network draws 250 times  lower power (at just 280 microJoules) than conventional embedded solutions, and at 12 milliseconds per inference, the network performs in real time and is faster than the most efficient face-detection system available for the edge, claims Maxim.

Battery-powered AI systems that require face detection, such as home cameras, industrial grade smart security cameras and retail solutions, require a low power operation to provide the longest possible time between charges. In addition to supporting standalone applications, Maxim Integrated’s microcontroller paired with Xailient’s neural network improves overall power efficiency and battery life of hybrid edge / cloud applications that use a low power ‘listening’ mode which wakes up the more complex systems when a face is detected.

Xailient’s Detectum neural network includes focus, zoom and visual wake word technologies to detect and localise faces in video and images at 76 times faster rates than conventional software, at similar or better accuracy, says Maxim. The ability to localise a face means that it can be used for advanced applications which determine where a face is in the image’s field of view. Examples include person, vehicle and object counting, presence or obstruction detection, as well as path mapping and footfall heatmaps.

The network can be extended to other applications such as livestock inventory and monitoring, parking spot occupancy and retail or warehouse inventory levels.

Xailient’s neural network combined with the computational efficiency and low power sleep modes of the MAX78000 microcontroller extend the operating time of coin cell battery-powered, hybrid edge/cloud applications for many years, says Maxim.

“AI is on track to be the second largest carbon emitting industry,” said Dr. Shivy Yohanandan, Xailient chief technology office (CTO) and inventor of Xailient’s Detectum neural network technology. “Replacing 14 legacy internet protocol cameras that use traditional cloud AI with edge-based cameras equipped with the Maxim Integrated MAX78000 paired with Xailient’s neural network has the equivalent carbon impact of taking one gasoline powered car off the road,” he said.

The MAX78000 is available now and Maxim also offers the MAX78000EVKIT# evaluation kit.

The Detectum neural network, series models, tools, services as well as focus, zoom and visual wake word technologies are available directly from Xailient.

http://www.maximintegrated.com

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Eight-channel ReDriver has PCIe 4.0 interfaces

Extending its linear ReDriver ICs, Diodes has added the PI3UPI1608 with internal coupling capacitors. The IC can “significantly” extend PCB trace lengths while minimising power consumption and associated bill of materials costs, says the company.

It supports speeds of up to 20Gbits per second and is UPI 2.0 and PCIe 4.0- compliant with eight differential channels. Integral coupling capacitors save board area by reducing the number of external components required. can be avoided.

Key applications include AI servers, data storage equipment, 5G networking infrastructure and high-performance PCs as well as CPU-to-CPU and CPU-to-storage interconnects.

The PI3UPI1608 ReDriver compensates for channel losses at the transmitter and improves signal integrity at the receiver. It is also optimised for high-performance systems operating at elevated frequencies.

The programmable linear equalisation, output swing, and flat gain capabilities enable the PI3UPI1608 to reduce bit error rates (BERs) and lower intersymbol interference. Programmability can be carried out via the pin strap and I2C interface.

The PI3UPI1608 ReDriver IC runs off a 3.3V supply and has an operating temperature range of -40 to +85 degrees C. It is supplied in a 116-pin QFN package which measures 13 x 7.0mm.

Diodes delivers semiconductor products to companies in the consumer electronics, computing, communications, industrial, and automotive markets. Its product portfolio includes discrete, analogue and mixed-signal products and packaging technology to meet customers’ needs. There are 31 sites around the world, including engineering, testing, manufacturing, and customer service.

http://www.Diodes.com

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Box PC powered by Nvidia Jetson TX2 NX provides AI at the edge

The Boxer-8230AI AI edge box PC developed by Aaeon is powered by Nvidia’s Jetson TX2 NX system on module (SoM).

It is rugged and cost-effective, says Aaeon, and has a varied I/O layout, including five Gigabit Ethernet ports.

It can be used for intelligent applications including surveillance, smart factory, and smart retail, advises the company.

The Boxer-8230AI is available in two configurations, the Boxer-8230AI-A3 and Boxer-8230AI-A4, both with five Gigabit Ethernet LAN ports to connect with IP cameras and other devices, four USB3.2 Gen 1 ports and two COM ports. Storage is provided with 16Gbyte onboard eMMC storage, microSD slot and a 2.5-inch SATA III bay (A4 model).

The Jetson TX2 NX delivers more than twice the performance of the Nvidia Jetson Nano thanks to its six-core Arm processor and Nvidia Pascal GPU with 256 CUDA cores. The Jetson TX2 NX achieves speeds up to 1.33TFLOPS, sufficient to power a wide range of AI edge applications.

The Boxer-8230AI is designed for use in rugged environments. It is a fanless design to keep dust and contaminants out. It also has wide operating temperature ranges, from -25 to 75 degrees C for the Boxer-8230AI-A4 and up to 65 degrees C for the Boxer-8230AI-A3. According to Aaeon, the PC can be deployed in almost any harsh environment.

Aaeon provides customer support in the form of software and customisation. Each system comes with the latest Nvidia JetPack 4.5.1 software development kit pre-installed, with no need to flash the OS. The company also offers customisation to boot from different devices and other services on a per-project basis.

Aaeon has also announced that it will extend the range with the planned release of the Boxer-8233AI with PoE PSE capabilities and HDMI input .

Established in 1992, Aaeon designs and manufactures industrial IoT and AI edge computing products, with a portfolio of industrial motherboards and systems, rugged tablets, embedded AI edge systems, uCPE network appliances, and LoRaWAN / WWAN products. Aaeon also provides OEM / ODM services worldwide and works closely with cities and governments to develop and deploy smart city ecosystems.

Aaeon works closely with chip designers and is recognised as an Nvidia Preferred Partner.

http://www.aaeon.com

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