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Access Point WBE750
 
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Intel Core 14th Gen i9
 
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Microchip Reveals Software Development Kit and Neural Network IP for Easily Creating Low-Power FPGA Smart Embedded Vision Solutions
Microchip’s VectorBlox SDK and IP offers an easy way for software developers to program a trained neural network without prior FPGA expertise

With the rise of Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT), applications are moving to the network edge where data is collected, requiring power-efficient solutions to deliver more computational performance in ever smaller, thermally constrained form factors. Through its Smart Embedded Vision initiative, Microchip Technology Inc. (Nasdaq: MCHP) is meeting the growing need for power-efficient inferencing in edge applications by making it easier for software developers to implement their algorithms in PolarFire® field-programmable gate arrays (FPGAs). As a significant addition to the solutions portfolio in this segment, Microchip’s VectorBlox Accelerator Software Development Kit (SDK) helps developers take advantage of Microchip’s PolarFire FPGAs for creating low-power, flexible overlay-based neural network applications without learning an FPGA tool flow. 

FPGAs are ideal for edge AI applications, such as inferencing in power-constrained compute environments, because they can perform more giga operations per second (GOPS) with greater power efficiency than a central processing unit (CPU) or graphics processing unit (GPU), but they require specialized hardware design skills. Microchip’s VectorBlox Accelerator SDK is designed to enable developers to code in C/C++ and program power-efficient neural networks without prior FPGA design experience.

The highly flexible tool kit can execute models in TensorFlow and the open neural network exchange (ONNX) format which offers the widest framework interoperability. ONNX supports many frameworks such as Caffe2, MXNet, PyTorch, and MATLAB®. Unlike alternative FPGA solutions, Microchip’s VectorBlox Accelerator SDK is supported on Linux® and Windows® operating systems, and it also includes a bit accurate simulator which provides the user the opportunity to validate the accuracy of the hardware while in the software environment. The neural network IP included with the kit also supports the ability to load different network models at run time.

 “In order for software developers to benefit from the power efficiencies of FPGAs, we need to remove the impediment of them having to learn new FPGA architectures and proprietary tool flows, while giving them the flexibility to port multi-framework and multi-network solutions,” said Bruce Weyer, vice president of the Field Programmable Gate Array business unit at Microchip. “Microchip’s VectorBlox Accelerator SDK and neural network IP core will give both software and hardware developers a way to implement an extremely flexible overlay convolutional neural network architecture on PolarFire FPGAs, from which they can then more easily construct and implement their AI-enabled edge systems that have best-in-class form factors, thermals and power characteristics.”

For inferencing at the edge, PolarFire FPGAs deliver up to 50 percent lower total power than competing devices, while also offering 25 percent higher-capacity math blocks that can deliver up to 1.5 tera operations per second (TOPS). By using FPGAs, developers also have greater opportunities for customization and differentiation through the devices’ inherent upgradability and ability to integrate functions on a single chip. The PolarFire FPGA neural network IP is available in a range of sizes to match the performance, power, and package size tradeoffs for the application, enabling customers to implement their solutions in package sizes as small as 11 × 11 mm.

Microchip’s Smart Embedded Vision initiative was launched last July to provide hardware and software developers with tools, intellectual property (IP) cores, and boards for meeting the thermally constrained and small-form-factor requirements of edge applications. Because PolarFire FPGAs deliver lower power compared to other solutions, customers can eliminate the need for fans in their enclosures. PolarFire FPGAs also offer more functional integration for a customer’s design. For example, in applications such as a smart camera, PolarFire FPGAs can integrate the image signal pipeline which includes the sensor interface, DDR controller, image signal processing (ISP) IP and network interfaces, all while integrating the machine learning inference.

Availability

Microchip’s VectorBlox Accelerator SDK is scheduled to be available in the third quarter of 2020, starting with an Early Access Program in June. PolarFire FPGAs are in production today. For more information, visit the Smart Embedded Vision web page or contact vectorblox@microchip.com.

2020052001 / 20.05.2020 / Various / Microchip Technology Inc. /

Microchip Launches New dsPIC® DSC-Based Integrated Motor Drivers that Bring Controllers, Gate Drivers and Communications to a Single Device
A corresponding ecosystem of support tools will help simplify motor control system development and accelerate time to market

Microchip Expands its mSiC™ Solutions with the 3.3 kV XIFM Plug-and-Play mSiC Gate Driver to Accelerate the Adoption of High-Voltage SiC Power Modules
The highly integrated 3.3 kV XIFM plug-and-play digital gate driver is designed to work out-of-the-box with high-voltage SiC-based power modules to simplify and speed system integration

Microchip’s Low-Cost PolarFire® SoC Discovery Kit Makes RISC-V and FPGA Design More Accessible for a Wider Range of Embedded Engineers
Cost-sensitive development platform helps student, beginner and seasoned designers work with emerging technologies

TimeProvider® 4500 Series Is the Industry’s First Grandmaster to Provide High-Speed Network Interfaces up to 25 Gbps
Extends Microchip’s IEEE®-1588 grandmaster portfolio and enables precise time accuracy to less than one nanosecond

Microchip Earns Certification in ISO/SAE 21434 Road Vehicle—Cybersecurity Engineering Standard from UL Solutions
Designing with certified security products can help Tier 1s and OEMs prove cybersecurity risk management compliance

The Next Evolutionary Step in Customizable Logic, Microchip Releases PIC16F13145 Family of MCUs
New Configurable Logic Block (CLB) module offers tailored hardware solutions and helps eliminate the need for external logic components

Microchip Launches 10 Multi-Channel Remote Temperature Sensors
MCP998x family represents one of the largest automotive-grade remote temperature sensor portfolios available from a single vendor

Next-Generation Family of Ethernet Switches Features Time Sensitive Networking and Scalable Port Bandwidths from 46 Gbps to 102 Gbps
Microchip’s LAN9694, LAN9696 and LAN9698 devices are integrated with High-availability Seamless Redundancy (HSR) and Parallel Redundancy Protocol (PRP) for ease of design

Microchip Launches AVR® EB Family of Microcontrollers to Reduce Noise, Vibration and System Harshness in BLDC Applications
Offers a smaller, more cost-effective solution for sophisticated waveform control with increased efficiency

Automate Installation Process with Press-Fit Terminal Power Modules for a Solder-Free Solution in High-Volume Manufacturing
Microchip’s SP1F and SP3F power modules are highly configurable in Silicon Carbide (SiC) or Silicon (Si) technology and now available with Press-Fit terminals

Microchip Unveils New Standard of Enhanced Code Security With the PIC18-Q24 Family of MCUs
Added voltage level shifting capabilities help increase flexibility and reduce system costs

To Meet And Exceed Heightened Automotive Secure Authentication Requirements, Microchip Releases Its Latest TrustAnchor Security IC
Available as a CryptoAuthentication™ or CryptoAutomotive™ Secure IC, the new TA101 device focuses on larger key sizes and enhanced cybersecurity requirements

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SENSOR+TEST 2024, 11.-13.6.2024, Nuremberg, DE
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