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
Location: Rooms 209 and 210, Santa Clara Convention Center (MAP)

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

Agenda

  • 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

Embedded Vision Seminar: Navigating Intelligent Vision at the Edge

Date and Time: 9:00 am - 5:00 pm.
Check-in: Badge pickup with coffee and pastries starts at 8:00 am.
Workshop Sponsored by:
Synopsys

Join us to learn about the latest trends in artificial intelligence and computer vision, and how to use the latest embedded vision technologies to navigate your way from concept to successful silicon. This seminar provides a deep dive into deep learning, embedded vision, and standards-based programming for automotive, mobile, surveillance, and consumer applications.

By attending this workshop you will learn the:

  • Latest techniques for balancing performance, power, area and bandwidth for designs ranging from 1 TOPS to 100 TOPS, the need for security in AI designs.
  • Trade-offs between traditional computer vision techniques and deep learning
  • About detailed case studies on the implementation of computer vision in an embedded environment.
  • Our post-seminar reception provides an opportunity to discuss your specific questions with key members of our R&D staff.

Fee: $25

Register Today

Agenda

  • 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, heterogeneous hardware architecture
  • Practical demonstrations and code examples based on real world computer vision solutions and implemented using Khronos APIs will be used to explain key concepts

APIs for Accelerating Vision and Inferencing: an Industry Overview of Options and Trade-offs

Speakers: Neil Trevett
Summit Track:
Technical Insights I

The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute APIs, such as OpenCL, Vulkan and CUDA are being used to accelerate inferencing engines such as OpenVX, CoreML, NNAPI and TensorRT, being fed by neural network file formats such as NNEF and ONNX. Some of these APIs, like OpenCV, are vision-specific, while others, like OpenCL, are general-purpose. Some engines, like CoreML and TensorRT, are supplier-specific, while others such as OpenVX, are open standards that any supplier can adopt. Which ones should you use for your project?

Khronos Member Sponsors, Exhibitors and Speakers

  • AImotive
  • Arm
  • Cadence
  • CEVA
  • Codeplay
  • Google
  • Imagination Technologies
  • Intel
  • Mediatek
  • Mentor
  • Renesas
  • Synopsis
  • Texas Instruments
  • VeriSilicon



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