Performance Acceleration Hardware for Inference Engines

  Enquiry / contact me

To configure real-time machine-learning inference

Electronics & Electricity, Industry 4.0

Performance Acceleration Hardware for Inference Engines
Performance Acceleration Hardware for Inference Engines

FPGA (Field Programmable Gate Array) by Xilinx is made to configure real-time machine-learning inference. Also known to provide performance acceleration and future flexibility for machine-learning practitioners, it allows to build high performing and inference engines for immediate deployment. It is adaptable for the rapid changes in technology and market demands for machine learning and flexible to adapt in workloads. Real-time Machine-Learning Inference is a new service that leverages natural voice interaction and image recognition to deliver seamless social media or call-center experiences. With an ability to identify patterns in vast quantities of data related many of variables, it is mostly used for deterministic throughput and low latency, achieved simultaneously with practicable size and power constraints to move data efficiently in and out.

Includes flexible memory hierarchy and adaptable high-bandwidth features

Adaptable and flexible, FPGA integrates optimized compute tiles, distributed local memory, non-blocking shared interconnects and a GPU-based engine with rigid interconnect structures. Used to execute real-time calculations, with low latency with a foundation to build a Deep Learning Processor for image recognition and analysis, it is capable to establish hardware architecture to accelerate AI workloads. Moreover, an ecosystem of resources has been established to accelerate AI workloads in the Cloud or at the edge. Among the available tools, ML-suite takes care of compiling the neural network to run in Xilinx FPGA hardware, the neutral networks generated by common machine-learning frameworks including TensorFlow, Caffe, MxNet and others. It also includes a Python API for easy interaction with ML-Suite, and contains a quantizer tool that convers it to a fixed-point equivalent, part of a set of middleware, compilation and optimization tools, and a runtime (xfDNN) ensuring the neutral network for the best performance possible. 

Posted on July 9, 2019 - (269 views)
Xilinx Europe
One Logic Drive Citywest Business Campus
Saggart, County Dublin - Ireland
+353-1-464-0311
+353-1-464-0324
View full company profile
Location
Related articles
Energy Infrastructure Solutions
Five Top Cyber Threats That May Decisively Disrupt Businesses in 2021
Analog Devices Supports Customers During COVID-19 Pandemic
Low Noise Solid State Relays
Modular L3 Switch with 10G Ports
How the Gigafuse Helps Maximize Safety in Advanced Battery Systems
FlexEdge™ Edge Automation Platform
Miniature and Off-axis Modular Encoders
Accelerate Your IIoT Project’s Time-to-Market by 9 Months
Software for Product Data Management
Robot Tools RFID Identifications
Drives & Controls 2020: The Home of Automation
Co-creating the Future of the IoT World
Lika-lab: a new Business Unit for Special Requirements
High Power Density 10W DC/DC Converters
Engineered Assemblies for the Power Industry
Hannover Messe: Home of Industrial Pioneers
Servo-valve Amplifier
Traco's Industrial Power Solutions
Procentec Diagnostic Tools
Energy Infrastructure Solutions
Software for Product Data Management
Data Extraction with AI-powered Anomaly Detection
Mature Whiskey Lake CPU Board
Transparent Clean Room Grippers
Leading Industrial Projects through the Graphene Flagship Initiative
EPLAN Data Portal now Hosts LEMO's Product Line
Label Printer with Industry 4.0 Connectivity
Sensor-to-Cloud System
Delivering Cars Ahead of Schedule