2019 Embedded Vision Summit

2019 Embedded Vision Summit Banner
May 20-23, 2019
Santa Clara Convention Center, California, USA

Don't miss this year’s OpenVX Workshop at Embedded Vision Summit. Khronos will present a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. We’ve developed a new curriculum so even if you attended in past years, this is a do-not-miss, jam-packed tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. We’ll be doing a hands-on practice session that gives participants a chance to solve real computer vision problems using OpenVX with the folks who created the API. We’ll also be talking about the OpenVX roadmap and what’s to come. 

Hardware Acceleration for Machine Learning and Computer Vision through Khronos Open Standard APIs

Date: Thursday, May 23, 2019, 9am - 5pm

Applications needing inferencing and vision acceleration can use Khronos APIs for acceleration on multi-CPUs, GPUs, DSPs, and special-purpose neural processor hardware. This workshop introduces attendees to key Khronos open standards, including OpenVX, NNEF, OpenCL and SYCL, and shows how they can be applied to their projects and products.

Target audience

Machine learning and computer vision application developers and managers

What will attendees gain by attending?

  • Understanding of the landscape of available APIs and standards for machine learning, inferencing and vision processing – and which are most applicable to their applications
  • Key technical insights into how to use Khronos standards and APIs for hardware acceleration across diverse hardware architectures
  • How their companies can influence the development of Khronos standards that affect their business

Fee: $25

Register today


  • An introduction to the key concepts of Khronos APIs and standards for machine learning and computer vision, which include OpenVX, OpenCL, NNEF and SYCL
  • An overview of OpenVX, including the neural-network extension for implementation of inferencing
  • An introduction to the Neural Network Exchange Format (NNEF) as a standardized representation for bringing trained networks into inferencing engines
  • An introduction to Modern ISO C++ Heterogeneous dispatch showing how machine learning code written in C++ can be efficiently offloaded to accelerators including FPGAs, GPUs and Neural processors with SYCL
  • An update on OpenCL and how it is being extended for deployment flexibility across diverse, heterogenous hardware architectures
  • Practical demonstrations and code examples based on real world computer vision solutions and implemented using Khronos APIs will be used to explain key concepts

Khronos Member Sponsors, Exhibitors and Speakers

  • Cadence
  • CEVA
  • Google
  • Imagination Technologies
  • Mediatek
  • Synopsis
  • VeriSilicon

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