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.
Date: Thursday, May 24, 2018 from 8:00am - 5:30pm
Learn how to use Khronos cross-platform standards to implement inferencing and vision applications that are not tied to a single vendors silicon. We will cover the new NNEF (Neural Network Exchange Format), the OpenVX vision and inferencing run-time, and SYCL for C++-based neural network acceleration. A set of examples for neural networks and computer vision mapped to OpenVX graph API are discussed. Also covered is the deployment model that pre-compiles a graph to create optimized binaries for deployment use cases, such as, inference neural networks. The course includes hands-on session that gets the participants started on solving real computer vision and neural networks problems using Khronos standards.
By attending this workshop you will gain:
Audience: This seminar is intended for engineers, researchers, and software developers who develop vision and neural network applications and want to benefit from transparent HW acceleration. Also, managers that want to get a general understanding of the structure and uses of Khronos standards.
|09:00-09:15||Khronos Ecosystem for Embedded Vision||TBA|
|09:15-09:45||Overview of NNEF||Peter McGuinness|
|09:45-10:30||Overview of OpenVX||Radha Giduthuri, AMD|
|11:30-11:45||Neural Network Inference with NNEF & OpenVX:
a hands-on session
|11:45-12:30||Khronos Safety-critical APIs||TBA|
|12:30-13:30||Khronos Roadmap and General Q&A|
|13:45-14:00||Vendor presentations, demos, and maybe dev-kit distribution||TBA|
|14:00-15:00||Modern C++ for accelerators: a SYCL deep dive||TBA|
|15:00-15:30||Tensorflow acceleration for neural network inference using SYCL ecosystem|
|15:30-16:45||Khronos Roadmap and General Q&A||TBA|
|16:45-17:00||Wrap-up and Q&A|
Technical Insight Session:
“Programming Techniques for Implementing Inference Software Efficiently"
Presented by Andrew Richards, (Khronos SYCL chair | CEO & Founder, Codeplay)
This talk will explore the approaches to implement deep neural networks in software, from how to map software to the highly-parallel processors needed for AI, to major AI frameworks. This will cover the LLVM compiler chain and the OpenCL, HSA and SYCL programming standards (including how they compare with CUDA), as well as TensorFlow and Caffe.
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