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Infineon claims Hall sensor is a first for ASIL D systems

Tue, Jun 18, 2019

Infineon Technologies believes that the Xensiv TLE499913 is the industry’s first monolithically integrated linear Hall sensor developed entirely according to the safety standard ISO26262 for automotive applications.

The single sensor enables the development of fault-tolerant systems that have to meet the highest level of functional safety (ASIL D), says Infineon, such as electric steering systems, electric throttle control systems, and pedal applications.

ISO26262 requires a system to keep functioning even if a single fault occurs, or a single components fails. The TLE4999I3 allows uninterrupted operation at system level. It consists of a monolithic design with two independent Hall elements. Their signal paths are separate from each other and internal control mechanisms carry out a plausibility check of the sensor data already within the chip. The linear Hall sensor also provides extensive status information to the system.

In addition to functional safety, the TLE4999I3 also offers very high magnetic sensitivity with an error tolerance of less than two per cent. The offset error drift, another important parameter for magnetic sensors as it determines the absolute position in a magnetic field, is maximum 100 microT, or half that of comparable products, claims Infineon. The values of these parameters apply across the entire temperature range and lifetime of the product.

The TLE4999I3 allows two magnetic ranges of ±12.5 and 25mT to be adjusted. These low values allow the use of relatively small and, consequently, inexpensive magnets.

A PSI5 communication interface is a current interface, requiring little wiring and offering “an excellent electromagnetic performance” according to Infineon. The TLE4999I3 is suitable for applications in which it is connected to the control unit over large distances as it supports cable lengths up to 12m.

The TLE4999I3 sensor is supplied in a PG-SSO-3 package and is qualified according to AECQ100, Grade 0 for use in applications with ambient temperatures of 150 degrees C during average operational conditions.

Infineon will be exhibiting this and other sensor solutions at the Sensor+Test 2019 trade fair (Nuremberg, 25 to 27 June 2019) Hall 1 – booth 429.

http://www.infineon.com

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Servers are powered by AI for HPC

Tue, Jun 18, 2019

At this year’s ISC in Frankfurt, Tyan, is showcasing its second generation Intel Xeon Scalable processor-based server platforms. According to the company, they are optimised for predictive analytics, machine learning (ML) and high performance computing (HPC) applications.

“The most demanding workloads including HPC, AI deep learning, data analytics, and multi-cloud infrastructure require maximum performance across compute, memory, storage, and network resources, “said Danny Hsu, vice president of MiTAC Computing Technology’s Tyan business unit

Powered by the newest generation of Intel Xeon Scalable processors, Tyan’s Thunder HX range takes advantage of Intel Deep Learning Boost technology to enable faster machine learning application execution. The Thunder HX FT83-B7119 supports 3Tbyte of memory, 12 hot-swappable 3.5-inch drives in a 4U enclosure. The system is suitable for AI training and inference applications.

Another 4U server system is the Thunder HX FT77D-B7109. It supports dual second generation Intel Xeon Scalable processors with integrated Intel Omni-Path 100Gabit networking fabric that can reach a total of 200Gbits per second fabric connectivity for massively parallel workloads such as scientific computing and large-scale facial recognition.

Tyan’s Thunder HX FT48T-B7105 is a pedestal workstation platform with dual second generation Intel Xeon Scalable processors and support for up to five, high performance workstation graphic cards. The workstation gives maximum I/O to professional power users and can be used for 3D rendering and image processing.

Intel Optane DC persistent memory and increased DDR4 memory speed and capacity features in the Thunder SX FA100-B7118, which is Tyan’s flagship storage server supporting dual second generation Intel Xeon Scalable processors and 100 hot-swap 3.5-inch drives in a 4U rackmount form factor. The platform is designed for both cold storage and large-scale object storage applications such as Lustre.

Visitors will also see the Thunder SX GT90-B7113 which features support for dual Intel Xeon Scalable processors, 12 hot-swap 3.5-inch drives mounted to a service drawer and four hot-swap NVMe U.2 drive bays in a 35-inch deep 1U chassis. The platform matches CSP server-based storage applications by allowing serviceability and density within the same server.

The Thunder CX GT24E-B5556 is a 1U single-socket Intel Xeon E-2100 processor-based server platform for CSP deployment. It has support for up to four DDR4 DIMM slots, one double-width PCIe x16 slot, and dual 10GBase-T Ethernet ports. The platform is optimised for cost-effective cloud gaming applications, confirms Tyan.

Visit Tyan at ISC 2019 (17-19 June) Messe Frankfurt, booth C-1250.

http://www.tyan.com

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Renesas announces memory technology for AI

Mon, Jun 17, 2019

Renesas Electronics has developed an AI accelerator that performs convolutional neural network (CNN) processing at high speeds and low power. A test chip with this accelerator has achieved the power efficiency of 8.8Tera operations per second per W (TOPS/W), which is the industry’s highest class of power efficiency, reports Renesas. The accelerator is based on the processing-in-memory (PIM) architecture, in which multiply-and-accumulate (MAC) operations are performed in the memory circuit as data is read out from that memory.

To create the new AI accelerator, Renesas developed three technologies. The first is a ternary-valued (-1, 0, 1) SRAM structure PIM technology that can perform large-scale CNN computations. The second is an SRAM circuit to be applied with comparators that can read out memory data at low power. The third is a technology that prevents calculation errors due to process variations in the manufacturing. Together, these technologies achieve a reduction in the memory access time in deep learning processing and a reduction in the power required for the MAC operations. As a result, the accelerator achieves the industry’s highest class of power efficiency while maintaining an accuracy ratio more than 99 per cent when evaluated in a handwritten character recognition test (MNIST), claims Renesas.

Before this development, the PIM architecture was unable to achieve an adequate accuracy level for large-scale CNN computations with single-bit calculations because the binary (0,1) SRAM structure was only able to handle data with values 0 or 1. Additionally, process variations in the manufacturing reduced the reliability of these calculations. The technologies developed by Renesas resolve these issues and can be applied to implement AI chips of the future and e-AI solutions for applications such as wearable equipment and robots that require both performance and power efficiency, says Renesas.

Since introducing the embedded AI (e-AI) concept in 2015, Renesas has defined classes based on the effectiveness of e-AI and applications that are implemented and has been developing e-AI solutions based on four classes: judging the correctness or abnormality of signal waveform data; judging correctness or abnormality using real-time image processing; performing recognition in real time and enabling incremental learning at an endpoint.

https://www.renesas.com

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Rohde & Schwarz verifies 5G NR with mobile network testing

Thu, Jun 13, 2019

Field tests of 5G NR networks have been performed by Rohde & Schwarz, using commercially available 5G NR devices.

The field tests of network performance and quality from the end-user perspective on a live 5G NR network are an important step to verify that the 5G network performance supports the demanding technical requirements, says Rohde & Schwarz, and ensuring it delivers the required quality of experience (QoE) to the end user. The company’s mobile network testing solutions for engineering, site acceptance, optimization, benchmarking and monitoring offer the ability to conduct such measurements using commercially available smartphones.

The ultimate test is to verify that the required quality of experience (QoE) is delivered to subscribers by using real 5G devices in live networks. A complete 5G NR network’s operation can be tested using commercially available 5G devices such as the Samsung S10 5G, Xiaomi Mi Mix 3 5G, Oppo Reno 5G and the LG V50 ThinQ 5G phones. Rohde & Schwarz engineers have conducted first field tests in live 5G networks and measured key quality of service (QoS) and QoE parameters.

The quality and performance of 5G NR mobile networks can be tested by operators using commercially available user equipment and Rohde & Schwarz mobile network testing solutions such as the R&S QualiPoc smartphone-based optimiser, R&S ROMES4 universal network measurement software or R&S SmartBenchmarker network benchmarking software. These cover video streaming quality and app testing, providing detailed IP and RF trace data using a rooted phone, RF and voice and data testing with a standard commercial off-the-shelf (COTS) device with open diagnostic ports.

At 5G World 2019 in London (12 to 13 June, booth 5G401) Rohde & Schwarz will showcase its test solutions that accelerate the adoption of 5G, including device testing in FR1 and FR2, 5G NR network coverage and operation testing and intelligent QoE analytics.

Rohde & Schwarz supplies mobile network testing, with a diverse product portfolio for mobile operators, infrastructure vendors, testing service providers, installation companies and government regulators. Products address every test scenario in the network lifecycle – from basestation installation to network acceptance and network benchmarking, from optimisation and troubleshooting to interference hunting and spectrum analysis and from IP application awareness to QoS and QoE of voice, data, video and app-based services.

Rohde & Schwarz’s mobile network testing solutions provide hardware, software and resources for the mobile networking industry to efficiently deliver better services, while enabling suppliers to increase the value of their networks and products.

http://www.rohde-schwarz.com

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Infineon claims Hall sensor is a first for ASIL D systems

Servers are powered by AI for HPC

Renesas announces memory technology for AI

Rohde & Schwarz verifies 5G NR with mobile network testing

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