Vivante Corporation announces that its GC7000-XS VX is the first vision IP solution to achieve compliance with the OpenVX™ 1.0 specification—a major achievement that comes only seven months after the introduction of OpenVX and emphasizes the cutting-edge technology available in the GC7000-XS product line with the addition of vision acceleration to a core that already has photorealistic 3D rendering capabilities.
Avtech Scientific announced the first open source release of its Advanced Simulation Library (ASL). Advanced Simulation Library is a free and open source multiphysics simulation software package. Its computational engine is based, among others, on the Lattice Boltzmann Methods and is written in OpenCL which enable efficient deployment on a variety of massively parallel architectures, ranging from inexpensive FPGAs, DSPs and GPUs up to heterogeneous clusters and supercomputers.
Xilinx, Inc announced the 2015.1 release of the SDAccel development environment for OpenCL framework, C, and C++. This new release enhances the SDAccel integrated development environment (IDE), extends OpenCL standard compliance, and features an expanded ecosystem of SDAccel development environment-certified Alliance Members providing platforms, libraries, and design services.
The Blender Foundation has released the first testbuild of Blender 2.75 and is asking everyone to help test it. Among new features are AMD OpenCL rendering and stereo/multiview support!
Toronto ACM SIGGRAPH is presenting "High Performance Computing in Computer Graphics" on May 20th 2015 at the University of Toronto. Continuing with their recent focus on the technical side of computer graphics, the Toronto ACM SIGGRAPH Chapter is delighted to invite you to their next event, focused on high-performance computing (HPC). Presenting will be AJ Guillon, German Andryeyev, and Ned Nedialkov. AJ Guillon is a Khronos member and a contributor to OpenCL 2.1 and the OpenCL C++ kernel language. He has worked extensively with OpenCL since December 2008, when the first OpenCL 1.0 specification was released. AJ will talk about some of the details of the new OpenCL 2.1 provisional specification, including the new C++ kernel language, and discuss its benefits and pitfalls.
The Mora research group at UML released SparkCL an open source unified programming framework for heterogeneous clusters based on Java, OpenCL, Aparapi and the Apache Spark framework. The motivation behind this work is to bring unconventional compute cores such as FPGAs/GPUs/APUs/DSPs and future core types into mainstream programming use. The framework allows equal treatment of different computing devices under the Spark framework and introduces the ability to offload computations to acceleration devices. There is a white paper describing this work and documentation and source repository on Gitlab.
AJ Guillon, who is a Khronos member and contributed to OpenCL 2.1 and the OpenCL C++ kernel language, has written an introduction to OpenCL C++. Previous versions of OpenCL have featured OpenCL C, based upon the C programming language. The provisional OpenCL 2.1 specification is the first OpenCL version to feature a kernel language based upon C++. The relative advantages and disadvantages of C and C++ are already well known, and OpenCL C++ inherits many of them. The OpenCL working group has responded to developers’ requests to be able to write high-level abstractions enabled by C++, while maintaining some compatibility with OpenCL C, by providing the OpenCL C++ kernel language.
Codeplay Software today announced ComputeCpp, an easy-to-use standards-based product for lowering the power consumption and increasing the performance of C++ software. The first commercial release of ComputeCpp will support SYCL for OpenCL, the open-standard C++ programming model from The Khronos Group. SYCL allows C++ application developers to write high-performance modern C++ and deploy it to multiple processor cores without hardware-specific rewrites or optimizations. The Khronos Group just released SYCL 1.2 Final Specification.
Intel Integrated Native Developer Experience (Intel® INDE) Update 2 introduced the OpenCV beta feature. Intel INDE OpenCV beta is compatible with the open source OpenCV 3.0. Provides pre-complied libraries for computer vision applications development for usages like enhanced photography, augmented reality, video summarization, and more. This release Includes IDE integration features. Provides easy to build and create environment for computer vision applications directly from preferred IDEs like Microsoft Visual Studio, Eclipse, or Android Studio. Also available open source at OpenCV.org, the standard optimizations with OpenCL and Intel Integrated Performance Primitives (Intel IPP) and Intel Threading Building Blocks (Intel TBB) ensures Intel INDE OpenCV applications are optimized to Intel’s heterogeneous platforms, accelerated with Intel HD and Intel Iris™ graphics family.