Andes Technology teams up with Green Hills Software for automotive RISC-V 

RISC-V CPU IP vendor, Andes Technology, and Green Hills Software will collaborate to develop an integrated, secure hardware-software platform for automotive applications.

Andes Technology’s ASIL-certified AndesCore 25-Series RISC-V processor family will be integrated with Green Hills’ safety-certified µ-velOSity real time operating system (RTOS), the ASIL-certified MULTI development environment with advanced system-level debugging and analysis tools and C/C++ optimising compilers, along with the Green Hills probe for JTAG and trace target connections.

The combined hardware and software platform is designed for SoC companies and end customers to create market-leading 32bit / 64bit RISC-V-based SoCs targeting critical functions requiring ISO 26262 ASIL B to ASIL D. The offering will be used for vehicle electronics requiring compact and cost-sensitive SoCs that are still capable of ASIL certification, confirmed Green Hills Software.

The CPU IP cores are based on AndesStar V5 architecture incorporating RISC-V technology. Its five-stage pipeline is optimised for high operating frequency and high performance, with a small gate count. The 25-Series supports optional single- and double-precision floating point instructions. It also offers branch prediction for efficient branch execution, instruction and data caches, local memories for low-latency accesses, and ECC for L1 memory soft error protection.

Through design guidance and training, Green Hills Software’s services teams help customers achieve their own tailored levels of safety, security, and performance, with the highest developer productivity.
Andes Technology claims to be the first RISC-V processor IP vendor to receive ASIL D process certification for both hardware (ISO 26262-5) and software (ISO 26262-6). The functional safety-enabled Andes Technology and Green Hills Software offering is expected to be available for general licensing by the second half of 2022.

“AndesCore RISC-V processor IP with safety enhancement has already been adopted by several early customers,” said Dr Charlie Su, Andes technology president and CTO. “The . . . partnership with Green Hills Software enables us to further offer comprehensive and robust development support for our customers. We welcome the benefits that Green Hills Software’s mature functional safety solutions bring to the RISC-V community to speed up the adoption of RISC-V safety-related applications,” he added.

Expanding the Green Hills’ portfolio to include the latest advanced safety-certified RISC-V AndesCore IP in a combined hardware-software solution means “SoC providers using the AndesCore 25-Series family can immediately start developing their next generation vehicle ECUs with the highest performing, lowest power offerings, while reducing their customers’ time to market and development costs by offering integrated and optimised production-proven solutions,” said Dan Mender, vice president, business development, Green Hills Software.

http://www.ghs.com

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Aitech release three 3U VPX cybersecurity-enabled SOSA aligned SBCs 

Rugged board provider, Aitech Systems offers three configurations of 3U VPX cybersecurity-enabled SBCs (single board computers) aligned to The Open Group Sensor Open Systems Architecture (SOSA) technical standard. 

The U-C8500, U-C8501 and U-C8502 use powerful Intel TigerLake SoCs with integrated general purpose graphics processor units (GPUs) to optimise SWaP-C for interconnectivity in military, aerospace and space applications.

The U-C850x series of SBCs combine modern data processing acceleration, CPU, iGPU and FPGA. It includes a high-performance CPU SoC with an internal GPU, combined with optional integrated large FPGA. As a result, the SBCs are suitable for rugged military and aerospace data-intensive applications, including AI and machine learning, while minimising SWaP-C and without sacrificing performance, said Aitech Systems.

The U-C850x series fully supports AiSecure, Aitech’s proprietary cybersecurity framework that increases survivability and level of confidence by detecting and preventing unexpected attacks. The inherent security features enable both firmware and data protection as well as prevents reverse engineering and tampering with system integrity, while allowing secure transmission and storage of sensitive data.

The U-C850x series of rugged 3U VPX SBCs features a multi-core Intel Architecture CPU processor, strong general purpose GPU AI processing and advanced cybersecurity protection. The Intel 11th generation TigerLake UP3 (TGL-UP3) SoC with four cores/ eight threads and a GPU with up to 96 execution units enables 12W, 15W and 28W TDP (thermal design performance) options. 

The U-C8500 is a four PCIe Gen3/4 data plane with an XMC slot, the U-C8501 is a four PCIe Gen3 Data Plane, four PCIe Gen4 expansion plane with an XMC slot and the U-C8502 is a four PCIe Gen3 data plane, four PCIe Gen4 expansion plane with integrated Xilinx MPSoC FPGA. 

According to Aitech, the U-C850x series has highly integrated functionality and excellent SWaP-C for use in harsh military and aerospace applications that need to reliably process significant amounts of data, for example, unmanned aerial vehicles and unmanned ground vehicles (UAV/UGV), mission computers and digital signal and image processing as well as signal intelligence (SIGINT) and electronic warfare (EW).

The boards feature support for up to 64Gbyte LPDDR4X RAM to provide the performance required for graphics and AI/ML applications using the integrated general purpose GPU as well as PCIe Gen4 support for optimised interconnect to other boards in the system.

http://www.aitechsystems.com

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NeuralVDB reduces memory footprint and adds AI 

Building on the development of OpenVDB, the open source C++ library for volumetric data, Nvidia has announced NeuralVDB, which brings the power of AI to OpenVDB.

It reduces memory footprint by up to 100 times which allows professionals working in scientific computing and visualisation, medical imaging, rocket science and visual effects to interact with extremely large and complex datasets in real time.

In the last decade, explained Ken Museth, senior director of simulation technology at Nvidia, OpenVDB has moved out of the visual effects industry and into industrial design and scientific use cases where sparse volumetric data is prevalent.

NeuralVDB joins Nvidia’s NanoVDB which was introduced last year, adding GPU support to OpenVDB. This accelerated performance and opened the door to real-time simulation and rendering, said Museth.

NeuralVDB builds on this GPU acceleration by adding machine learning to introduce compact neural representations that “dramatically reduce” its memory footprint. As a result, 3D data can be represented at even higher resolution and at a much larger scale than OpenVDB. Users can therefore handle massive volumetric datasets on devices like individual workstations and even laptops, said Nvidia.

NeuralVDB compresses a volume’s memory footprint up to 100x compared to NanoVDB which allows users to transmit and share large, complex volumetric datasets more efficiently.

To accelerate training up to a factor of two, NeuralVDB allows the weights of a frame to be used for the subsequent one. NeuralVDB also enables users to achieve temporal coherency, or smooth encoding, by using the network results from the previous frame.

This combination reduces memory requirements, accelerates training and enables temporal coherency offering new possibilities for scientific and industrial use cases, including massive, complex volume datasets for AI-enabled medical imaging and large scale digital twin simulations.

http://www.nvidia.com

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Farnell ships DFRobot’s LattePanda 3 Delta SBC

Claimed to be the world’s smallest x86 single board computer (SBC), the LattePanda 3 Delta is available from Farnell.

The SBC is the latest addition to the LattePanda family. The pocket-sized hackable computer, measuring 125 x 78 x 16mm. It supports Linux, Windows 10 and Windows 11.

Compared to other SBCs at the same price, the LattePanda 3 Delta offers the highest performance, said Farnell. It features Intel’s 11th generation mobile four-core processor, the N5105. With up to 8Gbyte RAM and 64Gbyte storage, LattePanda 3 Delta is the most cost-effective product yet from DFRobot. It is suitable for artificial intelligence (AI) and IoT applications, smart city, edge computing, smart home, face detection and recognition, artificial intelligence server, intelligent monitoring, voice recognition and cloud machine learning.

It offers developers new levels of creativity, said Romain Soreau, head of single board computing at Farnell. “Designed as the world’s most compact SBC, LattePanda 3 Delta is an exceptional board for space constrained applications which require high performance such as AI localisation, robotics, smart factory, home automation, gaming and handheld devices,” he said.

The LattePanda 3 Delta board supports 4K IPS touch displays. It has a high resolution of 3840 x 2160 pixels, two USB Type C and one mini-HDMI port.

The CPU is up to two times faster than the previous version and the GPU is up to three tunes faster to support 4K HDR video and processor intensive games. 

It also supports Wi-Fi 6 and with a transfer speed up to 2.4Gbits per second is 2.7  times faster than Wi-Fi 5. The SBC is also equipped with a USB 3.2 gen2 port that has an high bandwidth, delivering up to 10Gbits per second of throughput which is twice as fast as USB3.2 gen1 (USB3.0). Bluetooth 5.2 is included as standard.

Other features are support for Gigabit Ethernet, 42 expandable interfaces and   2933MHz high-frequency LPDDR4 RAM up to 8Gbyte. Storage has been doubled, up to 64Gbyte and the board also has a watchdog time and automatic power on and a cooling fan.

The LattePanda 3 Delta is available with a Windows 10 license. 

Developers can achieve a significant performance boost by upgrading from the Celeron N4100 of the LattePanda Delta to the Intel 11th-generation Celeron N5105 processor with up to 2.9GHz burst frequency, advised Farnell. The processor maintains almost the same pinout and layout as the previous version to allow for effortless system migration or upgrading by replacement. 

DFRobot creates hardware and software products that become the building blocks in  electronic projects, fostering a strong community of learners around it. DFRobot has expanded from open source hardware to STEM education, manufacturing and other industries. The company’s production lines range from gadgets for Arduino, LattePanda, Raspberry Pi, micro:bit, to comprehensive learning kits for K12 students such as Boson kit, micro:Maqueen series and Mind Plus.

Distributor Farnell can provide customers with fast access to easy-to-use products for project design. Customers can also benefit from 24/5 technical support alongside free access to valuable online resources on the Farnell website, and element14 community.

DFRobot’s LattePanda 3 Delta is now in stock and available for fast delivery from Farnell in Europe, element14 in APAC and Newark in North America.

http://www.farnell.com

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