VeriSilicon Holdings Co., Ltd. announces VIP8000, a highly scalable and programmable processor for computer vision and artificial intelligence. It delivers over 3 Tera MACs per second, with power consumption more efficient than 1.5 GMAC/second/mW and the smallest silicon area in industry with 16FF process technology. The VIP8000 can directly import neural networks generated by popular deep learning frameworks, such as Caffe and TensorFlow and neural networks can be integrated to other computer vision functions using the OpenVX framework. The processor is programmed by OpenCL or OpenVX with a unified programming model across the hardware units, including customer application-specific hardware acceleration units. Learn more about the VIP8000.
This week at the Embedded Vision Summit (EVS) in California Imagination is showcasing their latest Convolutional Neural Network (CNN) object recognition demo. All of these networks have been implemented using Imagination’s own DNN library. IMG DNN sits on top of OpenCL but doesn’t obscure it, and makes use of OpenCL constructs so it can be used alongside other custom OpenCL code. Imagination’s Paul Brasnett is talking at EVS on the subject of ‘Training CNNs for Efficient Inference‘ and for further reading, take a look at this CNN based number recognition demo, which uses OpenVX with CNN extension. Learn more about Imagination's Convolutional Neural Networks.
The Intel Computer Vision SDK Beta is for developing and deploying vision-oriented solutions on platforms from Intel, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets. Based on OpenVX, this SDK offers many useful extensions and supports heterogeneous execution across CPU and SoC accelerators using an advanced graph compiler, optimized and developer-created kernels, and design and analysis tools. It also includes deep-learning tools that unleash inference performance on deep-learning deployment. If the functionality you need is not already available in the supplied library, you can create custom kernels using C, C++, or OpenCL kernels.
IWOCL–The International Workshop on OpenCL is happening in just two weeks in Toronto Canada on May 16th. The complete program is now online and there is still room for more folks. Learn more about IWOCL. The program includes 4 tutorials, DHPC++ 2017, 19 technical sessions, the Khronos panel, posters and the conference dinner and networking event.
Although this backend is still a work in progress, many core features are implemented, allowing real OpenCL applications to be run. This backend allows us to run SPIR-based applications on NVIDIA devices, such as SYCL codes compiled with Codeplay's ComputeCpp compiler.
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.
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.
Phoronix posted about the newly revised OpenCL.org website: "The folks behind StreamComputing BV are looking to strengthen the OpenCL compute ecosystem by improving the documentation and code samples as well as better overviews for those wishing to learn this Khronos compute standard." Learn more about OpenCL.org on Phoronix or on StreamComputing.