CoSponsor Event: Khronos Standards for Neural Network Acceleration and Deployment

Khronos Standards for Neural Network Acceleration and Deployment

IEEE CES

Date: Thursday, August 31st, 2017

Speaker: Radha Giduthuri, Software Architect at AMD

Time: 6:30 PM (PT) Networking/Refreshments,
7:00 PM Presentation.

Location: NVIDIA, Building E
2800 Scott Blvd.
Santa Clara, CA  95050 (map)

Abstract
Khronos Group is a not for profit, member-funded consortium to create royalty-free open standards for hardware acceleration. OpenVX is an API for computer vision and neural network acceleration, especially important in real-time and safety-critical use cases. Khronos Group is also readying NNEF standard interchange format to transfer networks trained in deep learning frameworks to optimized inference engines.This talk gives an overview of Khronos standards related to neural networks and computer vision. A set of examples for neural networks and computer vision mapped to graph API will also be discussed.

Speaker Bio
Radhakrishna (Radha) Giduthuri is a software architect at Advanced Micro Devices (AMD) focusing on development of computer vision and neural network acceleration libraries for AMD GPUs. He has extensive background with software design and performance tuning for various computer architectures ranging from General Purpose DSPs, Customizable DSPs, Media Processors, Heterogeneous Processors, GPUs, and several CPUs. He is a member of Khronos OpenVX and NNEF working groups, and editor of OpenVX safety-critical specification. For several years, he was a member of SMPTE video compression standardizing committee. He is an active member of IEEE Signal Processing Society and winner of outstanding leadership and professional services award for IEEE Central Area in 2016. Radhakrishna holds M.Tech. degree from IIT Kharagpur, India.

Agenda:
6:30 pm – 7:00 pm:  Registration, Food, Networking
7:00 pm – 8:00 pm:  Talk
8:00 pm – 8:30 pm:  Q&A and Networking
Admission Fee: Open to all to attend 
(Please  register in advance.  If you cannot register in advance, you can still show up at the door, but seating is not guaranteed.  Please allow extra time for NVIDIA security sign in.)

IEEE CES members – free
IEEE Student members – free
IEEE members – $5 (pay at door)
non-members – $10 (pay at door) You do not need to be an IEEE member to attend!
(If you wish to be a member of IEEE, click here
)

Eventbrite - Khronos Standards for Neural Network Acceleration and Deployment

Note : The doors close at 7:30 PM

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