OpenCL related stories

Imagination PowerVR Series8XT IP core on Furian GPU supporting Vulkan, OpenCL and OpenVX

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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.

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Meet Khronos: What Is Heterogeneous Computing and OpenCL?

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Come to this accessible talk on the state of the industry for the layperson and enthusiast, and hear from Khronos, the industry consortium that produces the open standards driving this revolution. Khronos members such as Intel, Xilinx, Huawei, AMD, NVIDIA, and Codeplay are here in Toronto for the International Workshop on OpenCL (IWOCL) at the University of Toronto May 16 – 18, 2017. This event is free to attend and open to the public, but RSVP is required to ensure seating is available. Register online to attend this free event open to the public.

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Google Summer of Code projects announced for 2017

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As mentioned on Phoronix, Google just announced GSoC 2017 Projects. Included in the list are several Khronos related projects:
• Software Renderer for Vulkan (Vulkan, SPIR-V)
• 3D Hardware Acceleration in Haiku (OpenGL)
• Cross Platform GUI for CCExtractor (OpenGL
• libosmscout: Implementation of an opengl renderer (OpenGL)
• OpenGL-accelerated Renderer for Cytoscape 3 (OpenGL)
• Improvement to WebGL core for p5.js (WebGL)
• Project Proposal-Javascript/WebGL Library For Interactive Visualization Of Large-Scale Network Graphs. (WebGL)
• WebGL improvements for p5.js (WebGL)
• Creating the fastest math libraries for Ruby by using the GPU through OpenCL and ArrayFire. (OpenCL)
• GPU Boolean Evaluation for CSG Ray-Tracing (OpenCL)
• HPXCL – Asynchronous Integration of CUDA and OpenCL to HPX (OpenCL)
• libxcam Enable a debluring feature with OpenCL Design (OpenCL)
• Speeding up functional network analysis on fMRI data with distributed, in-memory computation using Apache Spark (OpenCL)

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Khronos Developer Blog: IWOCL – where you learn the latest on OpenCL

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Five years ago The International Workshop on OpenCL (IWOCL – "eye-wok-ul") started as a small OpenCL-focused conference. In 2017 it has grown to three full days filled with tutorials, talks, posters and many technical discussions. You’ll hear attendees (and yourself) saying, "I did not know this was going on and I should have known it before." It is a great place to learn the latest on OpenCL. Learn more about the history of IWOCL and the upcoming IWOCL event May 16-18, 2017 in Toronto, Canada.

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VeriSilicon’s Vivante VIP8000 Neural Network Processor with OpenVX and OpenCL

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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.

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Object recognition using Convolutional Neural Networks on a PowerVR GPU

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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.

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Intel Computer Vision SDK Beta built on OpenVX

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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.

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Two weeks to IWOCL 2017–The International Workshop on OpenCL in Toronto

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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.

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Blender Cycles: OpenCL now is on par with CUDA

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Cycles has a split OpenCL kernel since Blender release 2.75. The OpenCL Split Kernel now supports nearly all features. Only Correlated multi jitter is missing. Read the full report.

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NVIDIA GPU support via CUDA backend allowing OpenCL applications to be run

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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.

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