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NanoCOM-TGU combines 11th Gen Intel Core processor with UHD Graphics

Mon, Jan 03, 2022

A COM Express Type 10 module, powered by the 11th Generation Intel Core processor (Tiger Lake UP3), has been released by Aaeon. The NanoCOM-TGU optimises embedded and mobile applications for today’s IoT requirements, says Aaeon.

The NanoCOM-TGU’s computing capability is combined with the graphical processing power enabled by Intel UHD Graphics in a compact COM Express Type 10 mini form factor, measuring 84 x 55mm.

Power by the 11th Generation Intel Core SoC, the module is designed for applications with intensive data and graphic processing needs. The SoC integrates both CPU and GPU, as well as AI and deep learning acceleration engines, to accelerate processing capability in embedded mobile applications, such as telematics, public sectors, and industrial automation.

According to Aaeon, the mini form factor of COM Express Type 10 of NanoCOM-TGU shortens the design and deployment processes for system designers or integrators in embedded mobile projects. In addition, by leveraging the Type 10 form factor, NanoCOM-TGU offers the high-speed I/O interfaces to shorten the system design, including one 2.5Gigabit Ethernet, two display outputs (eDP and DDI), one high-definition audio output, two SATA 3.0 interfaces, one onboard PCIe NVMe SSD (up to 256Gbyte), 10 USBs (allocated as eight USB 2.0 and two USB 3.2 Gen 2 ports), two UARTs and one PCI-Express 4.

For memory bandwidth and storage, NanoCOM-TGU supports LPDDR4x memory with in-band ECC up to 16Gbyte for IoT and big data related applications. The onboard PCIe NVMe SSD interface supports up to 256Gbyte and accelerates read / write speeds multiple times than conventional storage interfaces.

Aaeon adds that system designers or integrators can use the Intel UHD Graphics’ graphical processing power for enhanced visual performance.

Established in 1992, Aaeon designs and manufactures professional intelligent IoT products. It provides reliable and high quality computing platforms, including industrial motherboards and systems, industrial displays, rugged tablets, embedded controllers, network appliances and related accessories and integrated solutions. The company also has the hardware and services for premier OEM/ODMs and system integrators worldwide.

As an Associate Member of the Intel Internet of Things Solutions Alliance, Aaeon offers customised services from initial product conceptualisation and board product development to mass manufacturing and after-sales service programs.

https://www.aaeon.com

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Real time clock modules cut current consumption by 30 per cent

Mon, Jan 03, 2022

Compact real time clock (RTC) modules from Seiko Epson have current consumption that is reduced by 30 per cent compared to earlier modules from the company. They also have an increased number of events – 32 – that can be recorded by the time stamp function.

The RX8901CE and RX4901CE RTC modules for industrial applications feature a built-in digital temperature compensated crystal oscillator (DTCXO). Package dimensions are 3.2 x 2.5 x 1.0mm (max) which makes them the smallest RTC modules from the company.

The RX8901CE supports an I2C-bus interface and the RX4901CE supports an SPI-bus interface. They are designed for timekeeping in electronic systems which need a small form factor and low current consumption, for example, IoT devices, click-charge systems, security equipment, industrial systems.

Accurate tracking of time and date information is also needed in equipment that is installed in vehicles, outdoors, and other environments where systems are exposed to ambient temperature extremes. In addition, there is greater need for security to prevent information leaks caused by unauthorised product modification and tampering. Intrusions must be detected at all times despite the device’s low current consumption, advises Seiko Epson, which has increased demand for devices that consume less current and remain frequency-stable over a wider operating temperature range.

The RX8901CE and RX4901CE consume 0.24 microA (typical), which is 30 per cent less than the 0.35 microA (typical) consumed by the RX8804CE (an earlier equivalent Epson RTC module).

The number of time stamp records that can be kept has expanded from one to a maximum of 32. Epson also added an SPI-Bus interface, offered alongside the original I2C-Bus interface.

Epson individually adjusts and guarantees the timekeeping accuracy of modules at the factory. This renders adjustment of timekeeping accuracy unnecessary and helps to increase design efficiency and quality.

The RX8901CE and RX4901CE RTC modules are sampling now and are intended for use in smart meters and security equipment, as well as in factory automation equipment and other small electronic products.

https://www5.epsondevice.com/en

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Intel updates oneAPI tookits for cross-architecture capabilities

Thu, Dec 23, 2021

Enhanced oneAPI 2022 toolkits expand cross-architecture features to provide developers greater architectural choice to accelerate computing, says Intel.

New capabilities include what is claimed to be the world’s first unified compiler implementing C++, SYCL and Fortran, data parallel Python for CPUs and GPUs, advanced accelerator performance modelling and tuning, and performance acceleration for AI and ray tracing visualisation workloads.

The 2022 Intel oneAPI toolkits benefit from over 900 new and enhanced features, added over the course of this year. Included in the foundational and domain-specific toolkits are compilers, libraries, pre-optimised frameworks, analysers and debuggers.

One highlight is cross-architecture programming. Intel’s unified compiler implements C++, SYCL and Fortran for CPUs and GPUs utilising a common LLVM back end.

Another new feature is accelerated compute on CPUs and GPUs for the most popular programming language today, Python.

The Intel DPC++ compatibility tool has been improved to automatically migrate 90 to 95 per cent of CUDA code to SYCL/DPC++.

Intel oneAPI Toolkits are optimised to enable advanced features of the latest and upcoming new hardware, including 12th Gen Intel Core processors with AVX-VNNI, Next Gen Intel Xeon Scalable processors, codenamed Sapphire Rapids with Intel Advanced Matrix Extension (Intel AMX), and upcoming Xe client and data centre GPUs.

For AI, the deep learning framework performance has been accelerated up to 10 times over earlier versions with the latest Intel Optimization for TensorFlow and Intel Optimization for PyTorch.3

This edition also introduces the Intel Extension for Scikit-learn which speeds up machine learning algorithms more than 100 times on Intel CPUs over the stock open source version.

Another new feature is the Intel Neural Compressor which is designed to achieve increased inference performance through post-training optimisation techniques across multiple deep learning frameworks.

Advanced tools for development productivity include performance analysis for CPUs and accelerators. This includes Intel VTune Profiler’s flame graph display which helps improve the ability to visualise performance hot spots. Another tools is Intel Advisor’s accelerator performance modelling which allows developers to estimate performance benefits of offloading to a GPU before making code changes.

Advanced ray tracing has new features including cone telemetry, auxiliary feature denoising and FP16 support and there is also support future Intel Xe GPUs and real-time denoising to improve final frame, production-quality rendering.

Expanded development environment support includes deeper Microsoft Visual Studio Code integration, support for Microsoft Visual Studio 2022, and Microsoft WSL2 for Linux development on Windows.

Foundational and domain-specific toolkits are now available to download or use in the Intel DevCloud, free of charge.

The oneAPI cross-architecture programming model provides developers with tools to improve the productivity and velocity of code development when building cross-architecture applications.

An Evans Data survey reported that 40 per cent of developers target heterogeneous systems that use more than one type of processor, processor core or coprocessor. Developers can use oneAPI to choose the best hardware for a given solution without having to implement proprietary programming models, says Intel.

http://www.intel.com

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Radar scene emulator brings automakers closer to vehicle autonomy

Wed, Dec 22, 2021

Automotive OEMs are provided with full-scene emulation via the Radar Scene Emulator introduced by Keysight Technologies. It enables them to lab test complex, real-world scenarios, accelerating the overall speed of test and full vehicle autonomy.

Full-scene emulation in the lab is critical to developing the robust radar sensors and algorithms needed for advanced driver assistance systems (ADAS)/autonomous driving (AD) capabilities. Keysight’s full-scene emulator combines hundreds of miniature radio frequency (RF) front ends into a scalable emulation screen representing up to 512 objects and distances as close as 1.5 meters.

Using full scene rendering that emulates near and far targets across a wide continuous field of view (FOV), Keysight’s Radar Scene Emulator enables customers to rapidly test automotive radar sensors integrated in autonomous driving systems with highly complex multi-target scenes.

Its patented technology shifts emulation away from target simulation for object detection to traffic scene emulation. This approach allows automotive OEMs to see more with a wider, continuous field of view (FOV) and supports both near and far targets. In this way, gaps in a radar’s vision are eliminated, while enabling improved training of algorithms to detect and differentiate multiple objects in dense, complex scenes. As a result, autonomous vehicle decisions can be made based on the complete picture, not just what the test equipment sees, explained Keysight.

Radar sensors can be tested against a limited number of targets, providing an incomplete view of driving scenarios and masking the complexity of the real-world. Keysight’s radar scene emulator allows OEMs to emulate real-world driving scenes in the lab with variations of traffic density, speed, distance and total number of targets. Testing can be completed early for common to corner case scenes, while minimising risk, added the company.

It also provides a deterministic real-world environment for lab testing complex scenes that can presently only be tested on the road. OEMs can “significantly accelerate ADAS/AD algorithm learning by testing scenarios earlier with complex repeatable high-density scenes, with objects stationary or in motion, varying environmental characteristics, while eliminating inefficiencies from manual or robotic automation,” said the company.

There are point clouds (multiple reflections per object), which improve resolution for each object. For example, distinguishing between obstacles on the road which is required for Level 4 and 5 vehicle autonomy as designated by the Society of Automotive Engineers (SAE).

Keysight will demonstrate the Radar Scene Emulator at CES 2022 (5 to 8 January) at Booth 4169, Las Vegas Convention Center, West Hall.

Keysight’s radar scene emulator is part of the company’s Autonomous Drive Emulation (ADE) platform, created through a multi-year collaboration between Keysight, IPG Automotive and Nordsys. The ADE platform exercises ADAS and AD software through the rendering of pre-defined use cases that apply time-synchronised inputs to the actual sensors and sub-systems in a car, such as the global navigation satellite system (GNSS), vehicle to everything (V2X), camera and radar. The open platform, ADE enables automotive OEMs, and their partners, to focus on the development and testing of ADAS/AD systems and algorithms, including sensor fusion and decision-making algorithms. Automotive OEMs can integrate the platform with commercial 3D modelling, hardware-in-the-loop (HIL) systems and existing test and simulation environments.

http://www.keysight.com

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NanoCOM-TGU combines 11th Gen Intel Core processor with UHD Graphics

Real time clock modules cut current consumption by 30 per cent

Intel updates oneAPI tookits for cross-architecture capabilities

Radar scene emulator brings automakers closer to vehicle autonomy

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