Bringing the Power of CUDA to Small Devices - Presented by Toradex

In recent years, CUDA® and powerful GPUs have given Desktop PCs, Servers and Super Computers new capabilities. Starting with the NVIDIA® Tegra K1 and X1 it is now possible to bring this capability to embedded devices like Drones, Underwater Robotics, Cars, Mobile Medical Devices, Smart Cameras and even Cube Satellites and many more. The complete design of an embedded system – including the NVIDIA SoC, DDR RAM, power supply & BSP adaptations – is quite complex. Although it is not a big hurdle for those who build hundreds-of-thousands of devices with substantial resources & expertise, it can be prohibitive to design such a complex system for a smaller volume product on a limited development budget. A solution is Computer on Modules (CoM) – also called System on Modules (SoM). A CoM encapsulates the complexity of the computing system onto a module, significantly lowering the complexity of a specialized design for a real product.


CUDA for Small Devices


In this talk, we will discuss current SoM solutions like the NVIDIA Jetson TX1 module or the Toradex Apalis TK1. You will learn about the architecture of such a system. We will demonstrate a typical development process and you will get a feel for the skill set and resources required to transform a maker board prototype into a real product. In the end, we will look at some applications where such systems are deployed, including drones, robots, cinema cameras and even a 24-module TK1 micro cluster.

Takeaway:
  • Learn how to bring CUDA to low power devices
  • Experience how to get from a Proof of Concept to Production Device using a system on module
  • Get an overview/inspiration from embedded devices incorporating CUDA
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    Speaker Bio:
     

    Daniel Lang has worked 14 years in the embedded industry - the last 10 years at Toradex, a leading provider of embedded computer modules. At Toradex he helped to grow the Swiss startup into a global brand. Originally from Switzerland, he is now located in Seattle WA where he holds the title of CTO of Toradex Inc.

    Event Link: https://www.toradex.com/events/bringing-the-power-of-cuda-to-small-devices

    Date & Time: Oct 11, 2016 from 19:00 to 20:00

    Venue: Mozilla Offices, Suite 500, 366 Adelaide Street West, Toronto, Ontario M5V 1R7, Canada

    Live Development Session: IoT Application from the field to the cloud using Toradex Modules and Microsoft Azure IoT Platform


    webinar-live-coding-iot-application-with-toradex-and-microsoft


    Join our guest webinar with Microsoft® on how to develop with robust and scalable IoT application using Toradex embedded solutions and Microsoft Azure IoT platform. In this webinar, we will do a live development session of an IoT application from end to end. Using Toradex’s Colibri iMX7, an embedded computer on module featuring the NXP® i.MX7 processor, we will show to you how to write a quick application that communicates with Microsoft® Azure sending field data and how to consolidate and present this field data using Microsoft PowerBI. Visit our webinar page to grab your free registration for the webinar: https://www.toradex.com/webinars/live-coding-iot-application-with-toradex-and-microsoft

    Date and Time:
    • Slot 1 - Wednesday, September 28, 2016 11:00 AM - 12:00 PM (CET)
    • Slot 2 - Wednesday, September 28, 2016 11:00 AM - 12:00 PM (PST)
    Speakers:
    • Waldemir Cambiucci, Director of Microsoft Technology Center, São Paulo, Brazil
    • Leonardo Graboski Veiga, Embedded Linux Engineer, Toradex Brasil
    Venue: Online Webinar

    Webinar on-demand: Over-the-Air is not Enough - Resin.io’s Robust Solution for Embedded Software Deployment




    Watch our newest webinar on-demand with Resin.io's on its robust soultion for embedded development in which Resin.io solution architect Ronald McCollam and Community Lead & Developer Evangelist Gergely Imreh will demonstrate the development, provisioning and deployment of a sample application onto a Toradex Colibri iMX6 System on Module.

    Apalis TK1 System on Module with Full CUDA® Support


    Apalis TK1 Computer on Module

    Check out our Apalis TK1 Computer on Module which is based on NVIDIA®’s powerful TK1 processor. It can offer you ultra-high performance with full CUDA® support which also makes it ideal to be used for Computer Vision and Machine Learning applications.