The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code

Tuesday, May 22, 4:50 PM - 5:20 PM
Summit Track: 
Technical Insights I
Location: 
Mission City Ballroom B2-B5

OpenVX is an industry-standard computer vision and neural network inference API designed for efficient implementation on a variety of embedded platforms. The API incorporates the concept of a dataflow graph, which enables implementers to apply a range of optimizations appropriate to their architectures, such as image tiling and kernel fusion. Application developers can use this API to create high-performance computer vision and AI applications quickly, without having to perform complex device-specific optimizations for data management and kernel execution, since these optimizations are handled by the OpenVX implementation provided by the processor vendor. This talk will describe the current status of OpenVX, with particular focus on neural network inference capabilities and the most recent enhancements. The talk will conclude with summary of the currently available implementations and an overview of the roadmap for the OpenVX API and its implementations.

Speaker(s):

Radhakrishna Giduthuri

Software Architect, Advanced Micro Devices

Radhakrishna 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 the editor of Khronos OpenVX working group and a member of Khronos NNEF (Neural Network Exchange Format) and OpenCL safety-critical working groups. 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 an M.Tech. from IIT Kharagpur, India.

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