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Silicon Valley

October 1-2
Fairmont, San Jose
170 South Market Street
San Jose, CA 95113

October 1

Hands on developer labs, tutorials
and developer deep dives

October 2

CEO Keynote, breakout sessions,
exhibit hall, and developer hangouts

Register Now

Agenda Overview

Download Agenda Details

Keynote Speaker

Victor Peng
President and CEO,
Xilinx

Building the Adaptable, Intelligent World.

Industry Voices

Richard Elberger
Partner Solutions Architect,
IoT,
Amazon Web Services

Session Title: AWS IoT on Xilinx

Abstract: The Industrial Internet of Things (IIoT) is rapidly accelerating the opportunity for cloud connected and collaborative control systems that can unlock the next set of capabilities around industrial assets. As IIoT implies a level of connectivity and collaboration of the traditional edge platforms with cloud systems it is logical product evolution for industrial control system providers to find a solution that allows them to securely and quickly tie into existing cloud infrastructures such as AWS to accelerate their IIoT strategies. In this session AWS will provide an overview of their IoT Edge offerings providing technical overview, dependencies, and how they interact for the AWS IoT Core, a:FreeRTOS, AWS Greengrass, and Amazon SageMaker offerings. Within a:FreeRTOS the session will define how the offering is a superset of functionality that sits on top of the FreeRTOS kernel include a live demonstration showing a:FreeRTOS on a Xilinx platform collaborating with the AWS IoT Cloud.

Michele Riga
Product Manager,
Embedded and Automotive,
Arm

Session Title: Bringing the Benefits of Cortex-M Processors to FPGA

Abstract: FPGAs enable custom solutions to be created quickly and with a minimal amount of engineering effort. What if you could combine the flexibility of an FPGA with the processing and software ecosystem advantages of a Cortex-M processor? This joint Xilinx and Arm technical presentation will explore how to use Cortex-M processors in Xilinx-based FPGAs, providing guidance on all of the key steps in building a successful FPGA solution: integration, verification, synthesis, and software development, leveraging the large Arm-based software development ecosystem.

Vijay Nagasamy
Research Scientist,
Autonomous Vehicles
Ford

Session Title: Accelerating ADAS Computer Vision Application Development at Ford using SDSoC

Abstract: Embedded Computer Vision technology is used by many Advanced Driver Assistance Systems to offer both safety and convenience features in automobiles. This technology is gaining importance as the number of camera sensors per vehicle continues to increase. This presentation will share insights from how a small team of software engineers at the Ford Research and Innovation Center in Palo Alto accelerated the development of a Computer Vision Application for ADAS using Xilinx SDSoC with reVISION libraries.

Minwook Ahn
Module Leading Developer
in ML Infra Lab
SK Telecom

Session Title: Speech Recognition powered by Xilinx FPGA for Korean Virtual Personal Assistant, NUGU

Abstract: Rapid proliferation is shown of voice interaction capabilities provided by smart speaker like Alexa and Google Assistant in recent two or three years. These provide the ability to speak to your devices, and make them understand and react what you’re asking. This is very different from the conventional visual user experience from smartphone, and has a possibility to give a new, and easy-to-use way of interaction between human and machine. 2016, SK Telecom launched a smartphone called NUGU. In this talk, we will introduce a FPGA-based inference accelerator, which can multiply the number of service channels of NUGU more than by three times in the same machine.

Session Title: AWS IoT on Xilinx

Abstract: The Industrial Internet of Things (IIoT) is rapidly accelerating the opportunity for cloud connected and collaborative control systems that can unlock the next set of capabilities around industrial assets. As IIoT implies a level of connectivity and collaboration of the traditional edge platforms with cloud systems it is logical product evolution for industrial control system providers to find a solution that allows them to securely and quickly tie into existing cloud infrastructures such as AWS to accelerate their IIoT strategies. In this session AWS will provide an overview of their IoT Edge offerings providing technical overview, dependencies, and how they interact for the AWS IoT Core, a:FreeRTOS, AWS Greengrass, and Amazon SageMaker offerings. Within a:FreeRTOS the session will define how the offering is a superset of functionality that sits on top of the FreeRTOS kernel include a live demonstration showing a:FreeRTOS on a Xilinx platform collaborating with the AWS IoT Cloud.

Session Title: Bringing the Benefits of Cortex-M Processors to FPGA

Abstract: FPGAs enable custom solutions to be created quickly and with a minimal amount of engineering effort. What if you could combine the flexibility of an FPGA with the processing and software ecosystem advantages of a Cortex-M processor? This joint Xilinx and Arm technical presentation will explore how to use Cortex-M processors in Xilinx-based FPGAs, providing guidance on all of the key steps in building a successful FPGA solution: integration, verification, synthesis, and software development, leveraging the large Arm-based software development ecosystem.

Session Title: Accelerating ADAS Computer Vision Application Development at Ford using SDSoC

Abstract: Embedded Computer Vision technology is used by many Advanced Driver Assistance Systems to offer both safety and convenience features in automobiles. This technology is gaining importance as the number of camera sensors per vehicle continues to increase. This presentation will share insights from how a small team of software engineers at the Ford Research and Innovation Center in Palo Alto accelerated the development of a Computer Vision Application for ADAS using Xilinx SDSoC with reVISION libraries.

Session Title: Speech Recognition powered by Xilinx FPGA for Korean Virtual Personal Assistant, NUGU

Abstract: Rapid proliferation is shown of voice interaction capabilities provided by smart speaker like Alexa and Google Assistant in recent two or three years. These provide the ability to speak to your devices, and make them understand and react what you’re asking. This is very different from the conventional visual user experience from smartphone, and has a possibility to give a new, and easy-to-use way of interaction between human and machine. 2016, SK Telecom launched a smartphone called NUGU. In this talk, we will introduce a FPGA-based inference accelerator, which can multiply the number of service channels of NUGU more than by three times in the same machine.

Accommodations

Need a hotel room for XDF? We have room blocks reserved with a
discounted rate at the San Jose Marriott.

San Jose Marriott

301 South Market Street
San Jose, CA 95113

$279/night + taxes & fees
Rooms reserved Sept 30 - Oct 1

Reserve Your Room

Exhibitors

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Join Us at XDF

Register for XDF Silicon Valley on October 1-2.

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Contact Us

Have some questions? You can contact us here.

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