Neil Trevett, Khronos Group President and Radhakrishna Giduthuri, Software Architecture and Compute Performance Acceleration at AMD, spoke at two Khronos related events this past week. Neils presented was an update on the Khronos Standards for Vision and Machine Learning which covered Khronos Standards OpenVX, NNEF, OpenCL, SYCL and Vulkan. Radhakrishna presented Standards for Neural Networks Acceleration and Deployment covered Khronos Standards OpenVX and NNEF. The slides from both presentations are now online.
The best paper award among all papers presented at the ICCE Asia 2017 conference, went to the paper titled “Novel OpenVX Implementation for Heterogeneous Multi-Core Systems” (PDF), by Kedar Chitnis, Jesse Villarreal, Jr, Brijesh Jadav, Mihir N Mody, Lucas Weaver, Victor Cheng, Kumar Desappan, Anshu Jain and Pramod Swami.
The Khronos Group announces an updated Adopters Program for OpenVX, the open, cross-platform, royalty-free standard for computer vision and inferencing acceleration. The updated OpenVX Adopters Program includes a new version of the full conformance tests for the latest iteration of the standard, OpenVX 1.2, and the process by which Adopters can run those tests and submit the results for working group review. Once these tests are successfully passed, Adopters are enabled to label their product as OpenVX conformant, use a royalty-free trademark license for the OpenVX name and logo in association with their implementation, gain protection from the Khronos IP framework and enjoy marketing promotion from the Khronos Group.
The Khronos Group announces an updated Adopters Program for OpenVX, the open, cross-platform, royalty-free standard for computer vision and inferencing acceleration. The new Adopters Program includes full conformance tests for the latest iteration of the standard, OpenVX 1.2.
The Khronos Group will be holding a two hour tutorial at the Embedded Systems Conference ‘17 in December. Attendees will gain an understanding of the architecture of Khronos standards for computer vision and neural networks; getting fluent in actually using OpenVX and NNEF for real-time computer vision and neural network inference tasks.
Mozilla announced a new development program for Mixed Reality that will expand its work in Virtual Reality (VR) and Augmented Reality (AR) for the web. There is a draft WebXR API proposal, which uses WebGL, for providing access to both augmented and virtual reality devices.
On September 14th The Khronos Group held an online overview webinar on OpenVX 1.2. If you missed the webinar or wish to watch it again, the video and slides are now online. Be sure to register for the next Khronos Webinar “Mastering the Khronos Blender glTF 2.0 Exporter” on October 24th.
The Khronos Group is holding another Webinar on September 14th at 9:30AM PT. Engineers and managers interested in developing neural network inference engines and portable application that need portability across platforms and hardware should join in this free webinar. Speaking will be Radhakrishna (Radha) Giduthuri, a software architect at Advanced Micro Devices (AMD), Tomer Schwartz from Intel and Frank Brill, OpenVX Working Group Chair.
CVPR is soliciting proposals for workshops to be held together with the 2018 Computer Vision and Pattern Recognition Conference (CVPR 2018). The workshops will take place on June 18 and June 22 at the same venue as the main conference. Deadline is October 20th 2017. CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
The landscape of APIs for accelerating vision and neural network software using specialized processors continues to rapidly evolve. Many industry-standard APIs, such as OpenCL and OpenVX, are being upgraded to increasingly focus on deep learning, and the industry is rapidly adopting the new generation of low-level, explicit GPU APIs, such as Vulkan, that tightly integrate graphics and compute. Neil Trevett presented the “Vision Acceleration API Landscape: Options and Trade-offs” tutorial at the May 2017 Embedded Vision Summit.
The Khronos Group held their annual BOF-Blitz at SIGGRAPH today. There were five BOFs in all, and they were all a huge success. If you were not able to get to SIGGRAPH and you missed the live stream, you can now watch the video online here.
Synopsys announced that it has enhanced the convolutional neural network (CNN) engine in its DesignWare EV6x Vision Processors to address the increasing video resolution and frame rate requirements of high-performance embedded vision applications. To simplify software application development, the EV6x processors are supported by a comprehensive suite of tools and software. Combined with software development tools based on OpenVX, OpenCV and OpenCL C embedded vision standards, the MetaWare EV Development Toolkit offers a full suite of tools needed to accelerate embedded software development.
Frank Brill, Design Engineering Director at Cadence and Chairperson of the Khronos Group’s OpenVX Working Group, presents the “OpenVX Computer Vision Library Standard for Portable, Efficient Code” tutorial at the May 2017 Embedded Vision Summit.
Imagination Technologies announces the first GPU IP core based on its new PowerVR Furian architecture, the Series8XT GT8525. Says Tatiana Solokhina, CTO, RnD Center ELVEES, a Khronos member: “As a provider of SoCs for a wide range of global video analytics applications, we require a GPU that offers the best compute performance in a power constrained footprint. The new PowerVR Furian 8XT family from Imagination provides us an industry-leading GPU with new ALU for increased performance density and efficiency. In addition, support for standard compute APIs such as OpenVX enables easy implementation of real world vision processing applications.” Furian is designed to address the increasing compute requirements across multiple applications and market segments with efficient use of compute APIs including OpenCL 2.0, Vulkan 1.0 and OpenVX 1.1.