Intel ships Stratix 10 DX FPGAs to accelerate data centre workloads

FPGAs designed to support Intel Ultra Path Interconnect (UPI), PCI-Express (PCIe) Gen4 x16 and a new controller for Intel Optane technology are shipping from Intel. The Stratix 10 DX FPGAs are designed to boost acceleration of workloads in the cloud and enterprise when used with Intel’s data centre products.

The Stratix 10 DX FPGAs have new interfaces, including the option to support select Intel Optane DC persistent memory dual in-line memory modules (DIMMs). They increase bandwidth and provide coherent memory expansion and hardware acceleration for future Intel Xeon Scalable processors, reveals the company.

Data centre customers are using hardware accelerators, like FPGAs, for more computational speed from server systems running networking and cloud-based applications such as artificial intelligence (AI) training / inferencing or database-related workloads. The effective performance of hardware accelerators depends heavily on the communications bandwidth and latency between one or more server CPUs, available system memory and any attached accelerator, such as a graphics processor unit or application-specific standard products.

Diverting tasks to accelerators frees up CPU cores to become available to work on other higher priority workloads, increasing data centre operator efficiency, says Intel.

Stratix 10 DX FPGAs’ features include a memory controller which supports up to eight Intel Optane DC persistent memory modules per FPGA (up to 4Tbytes of non-volatile memory). There is also 100Gbyte per second Ethernet, HBM2 memory stacks and a quad-core Arm Cortex-A53 processor sub-system with peripherals.

The Stratix 10 DX joins the Stratix 10 GX, Stratix 10 SX SoC FPGAs, Stratix 10 TX and Stratix 10 MX FPGAs.

http://www.intel.com

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Isolated technology driver maximises power efficiency for industry 4.0

Analog Devices claims to maximise efficiency and minimise electromagnetic (EM) emissions of motion systems as customers migrate to higher density automation, at the launch of the ADuM4122 isolated, dual-drive strength output driver. It uses iCoupler technology.

Improvements in motor efficiency can improve economic and environmental benefits in industrial automation and IoT within smart factories, reports Analog Devices.

The ADuM4122 is designed to satisfy the growing demand for intelligent technology and features within systems. It accomplishes this by controlling how fast or slow a MOSFET or IGBT turns on or off by user command, on the fly, to control motor currents, says Analog Devices.

Mack Lund, director of the Interface and Isolation Technology Group at Analog Devices explains that users can dynamically move from a slower to a faster switching transition, optimising EM emissions without sacrificing efficiency. “In short, you no longer have to leave performance on the table when trying to achieve lower emissions and power consumption,” he said.

The ADuM4122 is a simple dual-drive strength output driver that efficiently toggles between two slew rates controlled by a digital signal. It is in an eight-pin SOIC, making it smaller than existing discrete or complex integrated solutions that have 20 or more pins, says Analog Devices.

An evaluation board is also available.

The ADuM4122 further improves system capabilities with high common-mode transient immunity and low propagation delay for high performance applications such as motion control, robotics and energy.

http://www.analog.com

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IoT gateway with Raspberry Pi accelerates adoption, says Farnell

Distributor, Farnell, is now shipping the Avnet SmartEdge industrial IoT gateway. The low-cost industrial gateway is powered by Raspberry Pi and is designed for a range of applications, including building management, vehicle monitoring, industrial automation and predictive maintenance.

The Avnet SmartEdge industrial IoT gateway’s seamless, secure connectivity is enabled by Avnet’s IoTConnect platform to provide features to gather, analyse and provide actionable, real-time data visualisation. The IoTConnect platform runs on Microsoft Azure edge-to-cloud services to build, deploy, and manage IoT connected assets.

The gateway provides connectivity with data intelligence for a range of industrial 4.0 applications including additional ports to handle industrial protocols, higher power input range, a trusted computing module for comprehensive end-to-end hardware data security, and a robust wall or DIN-rail mountable metal enclosure.

Connectivity options include a full set of industrial peripherals which include CAN-BUS and RS-232/ 485 (Modbus and DeviceNet) interfaces, isolated digital I/O and dual 10/100 Ethernet, with wireless connectivity including WiFi at 2.4GHz and Bluetooth Low Energy 4.2 via an integrated antenna with external connectivity, and an mPCIe interface for cellular modems. Power is via a 12 to 24V DC input and an HDMI display output is also incorporated. It is based on an 8Gbyte EMMC which replaces the standard SD memory card, with security guaranteed by an onboard TPM 2.0.

The device also has the 40-pin expansion header to link with a range of devices from the ecosystem of HATs and other accessories.

Those familiar with prototyping on a Raspberry Pi device will find it straightforward to bring their designs to an industrial environment without having to switch platforms, Farnell reassures developers.

Hari Kalyanaraman, global head of single board computers at Farnell said of the Avnet SmartEdge industrial IoT gateway: “Ease of use and seamless, secure connectivity make it ideal for developing industrial automation applications such as remote monitoring, predictive maintenance, process control and automation. . .  we believe this device could be a key driver in the further adoption of Industrial IoT applications.”

Pete Bartolotta, president of business transformation at Avnet, said: “The Avnet SmartEdge industrial IoT gateway will allow developers to design and scale IoT projects leveraging the familiar Raspberry Pi platform that’s now industrialised for scale.” He added that the Avnet and Farnell ecosystem provides the technology, support and tools developers need to bring IoT projects from prototyping to mass m market volumes.

The Avnet SmartEdge industrial IoT gateway is available from Farnell in Europe and Newark in North America.  The Avnet SmartEdge Industrial IoT Gateway is also available from Avnet Silica.

http://www.farnell.com

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Embedded Vision Processor IP prepares for AI-intensive edge applications

Integrating a deep neural network accelerator, vector digital signal processor (DSP) and vector floating point unit (FPU), Synopsys explains that the DesignWare EV7x Vision Processors’ heterogeneous architecture delivers 35 Tera operations per second (TOPS) for artificial intelligence system on chips (AI SoCs).

The DesignWare ARC EV7x Embedded Vision processors, with deep neural network (DNN) accelerator provide sufficient performance for AI-intensive edge applications.

The ARC EV7x Vision Processors integrate up to four enhanced vector processing units (VPUs) and a DNN accelerator with up to 14,080 MACs to deliver up to 35 TOPS performance in 16-nm FinFET process technologies under typical conditions, which is four times the performance of the ARC EV6x processors, reports Synopsys.

Each EV7x VPU includes a 32-bit scalar unit and a 512-bit-wide vector DSP and can be configured for 8-, 16-, or 32-bit operations to perform simultaneous multiply-accumulates on different streams of data.

The optional DNN accelerator scales from 880 to 14,080 MACs and employs a specialized architecture for faster memory access, higher performance, and better power efficiency than alternative neural network IP. In addition to supporting convolutional neural networks (CNNs), the DNN accelerator supports batched long short-term memories (LSTMs) for applications that require time-based results (such as predicting the location of a pedestrian based on their observed path and speed). The vision engine and the DNN accelerator work on tasks in parallel, for example in autonomous vehicles and ADAS applications where multiple cameras and vision algorithms operate concurrently.

The combination of vision engine and DNN accelerator with high productivity programming tools make the ARC EV7x Embedded Vision processors suitable for applications as varied as advanced driver assist systems (ADAS), video surveillance, smart home, and augmented reality (AR) and virtual reality (VR).

The processors optimise the execution of linear algebra and matrix math operations. In navigation systems this can accelerate processing on simultaneous localisation and mapping (SLAM) and provide real-time tracking for AR/VR and localisation for autonomous driving and increase the accuracy of environmental maps, for example.

To speed application software development for ARC EV7x Vision Processors, Synopsys’ MetaWare EV development toolkit provides a software programming environment based on common embedded vision standards, including OpenVX and OpenCL C. The mapping tools support Caffe and Tensorflow frameworks, as well as the ONNX neural network interchange format.

ASIL B and ASIL D -compliant versions of the new processors, the ARC EV7xFS portfolio, accelerate ISO 26262 certification of automotive SoCs. The functional safety-enhanced processors offer hardware safety features, safety monitors, and lockstep capabilities that enable designers to achieve stringent levels of functional safety and fault coverage without significant impact on power or performance.

A hybrid option enables system architects to select required safety levels up to ASIL D in the software, post-silicon.

ARC EV7x Embedded Vision processors, DNN accelerator option up to 14,080 MACs, and MetaWare EV software are expected to be available for lead customers in Q1 2020. The DNN accelerator option with up to 3,520 MACs is available now.

https://www.synopsys.com/designware

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