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AMD announced a dual-GPU graphics card designed for professionals: the Polaris-architecture-based Radeon Pro Duo. Built on the capabilities of the Radeon Pro WX 7100, the Radeon Pro Duo professional graphics card is designed to excel at media and entertainment, broadcast, and design and manufacturing workflows, delivering outstanding performance and superior flexibility that today’s creative professionals demand. The new GPU supports OpenCL 2.0, OpenGL 4.5 and Vulkan 1.0.

In December last year, Imagination announced we were the first to submit an OpenVX 1.1 conformant implementation. In this blog post, we will show how our work has developed since then on one of the first implementations of the Khronos OpenVX 1.1 API as well as the new and very first implementation of the Convolutional Neural Network (CNN) extension that goes along with it.

The GPU Technology Conference (GTC2017) will be running from May 8-11 this year in San Jose Convention Center. This year will see many sessions related to Khronos Technology including OpenCL, OpenGL, OpenVX, Vulkan and WebGL. NVIDIA has just added more sessions to their schedule. Check a list of Khronos related sessions on the Khronos site, or visit the NVIDIA GTC site to see all sessions.

Cadence Design Systems, Inc. announced that the Cadence Tensilica Vision P-Series DSPs are the first imaging/vision DSPs to pass Khronos Group’s conformance tests for the OpenVX 1.1 specification. Application developers can now take advantage of Tensilica Vision P5/P6 functionality without detailed knowledge of the hardware architecture and still achieve high performance. This enables faster development of computer vision and imaging applications on Tensilica Vision P-Series DSPs being deployed in applications processors for mobile, automotive, drone, security, augmented reality/virtual reality (AR/VR) and other markets. Read the full press release.

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.

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