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.
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
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
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