The Khronos OpenCL working group recently created a new Tooling Subgroup with the aim of improving the tools ecosystem for this widely-used open standard for heterogeneous computation—in particular, boosting the development of tooling components that can be shared by multiple vendors. Subgroup members have been meeting regularly to coordinate the overall direction for OpenCL tools, with an emphasis on strengthening the development of tools in open source, particularly by encouraging collaboration between the OpenCL and LLVM communities.
Fifth-year student Adam Kelly focused on finding the most efficient way possible to simulate quantum computing. Adam's project QCGPU is a high performance, hardware accelerated quantum computer simulator written with Python and OpenCL. News coverage and short interview with Adam are online, as well as the research paper. Congratulations Adam!
Interested in heterogeneous programming for CPUs, GPUs and FPGAs in #OpenCL? Then submit a paper, technical presentation, poster, workshop or tutorial at the annual International Workshop on OpenCL. Deadline Jan 27th
The Khronos Group OpenCL API is a SIMD programming model which maps well to the GPU but mostly bypass the fixed graphics-specific logic. The latest Radeon GPU Profiler 1.4 (RGP) now has the ability to profile OpenCL workloads in RGP. Most of the major RGP features that you’re used to using for profiling graphics workloads generated by Vulkan and DirectX 12 are there when profiling OpenCL applications, including the workload and barrier overviews.
Alibaba's datacenter uses Xilinx FPGAs to accelerate billions of transactions for shoppers and Microsoft, in a recent announcement, said it would deploy Xilinx in its datacenter as well. This is good news for OpenCL, as Xilinx FPGA acceleration includes support for high-level programming languages and tools, including C, C++, and OpenCL.
Intel’s open-source programming function computer vision library OpenCV has released the first stable version in its 4.0 line. Release highlights list the dnn module now includes experimental Vulkan backend, and the popular Kinect Fusion algorithm has been implemented and optimized for CPU and GPU using OpenCL.
Nallatech and BittWare have announced their FPGA products supporting OpenCL-based tool flows for Xilinx and Intel will be marketed under the BittWare brand, part of Molex. Customers will be able to program applications using traditional HDL or higher abstraction C, C++ and OpenCL-based tool flows. Read the full press release. Nallatech also announced it will deliver its family of OpenCL-compatible accelerator cards featuring Altera Stratix V FPGAs to the High Performance Computing (HPC) market. More on this here.
The reference cards for OpenCL 1.1, 1.2, 2.0 and 2.1 have been updated. What changed: Most Preprocessor directives & macros in OpenCL begin with a double-underscore (__), however the “CL_VERSION_X” ones do not. These revised reference cards remove the double underscore from those. The reference cards on Lulu for purchase are also updated.
Qualcomm has introduced the new Qualcomm Snapdragon 675 Mobile Platform. The Snapdragon 675 offers outstanding gaming, a leap in artificial intelligence (AI) capability and a cutting-edge camera. Premium features in the Snapdragon 675 are enabled by the Qualcomm AI Engine, Qualcomm Spectra ISP, Qualcomm Kryo CPU and Qualcomm Adreno GPU. A number of specific games and game engines have been optimized including Unity, Unreal, Messiah, and NeoX. Qualcomm Technologies also supports popular tools and APIs, including Vulkan, OpenGL 3.2, OpenCL, and Snapdragon profiler.
NXP delivers a wide range of processing solutions on which machine-learning (ML) applications can run. Developers will need the associated software and tools to make them work and this is where eIQ framework and development tools come into play. The eIQ framework is designed to work with hardware abstraction layers like OpenCL, OpenVX, and the Arm Compute Library, as well as inference engines like the Arm NN (neural net), Android NN, GLOW, and OpenCV.
Intel’s driver team has published a new graphics driver for all recent GPUs (Intel 6th, 7th and 8th Gen processors) on Windows 10. This new driver (version 220.127.116.1123) brings support for Windows 10 October 2018 Update (version 1809 with WDDM 2.5) and HDR for embedded laptop panels. Hardware support now included up to Vulkan 1.1.83, OpenCL 2.1 and OpenGL 4.5. Complete details are in the Intel Release Notes PDF.
European Union-funded researchers have today released a tool suite which enables developers to deliver longer battery life in mobile devices, while ensuring high quality and performance. The LPGPU2 tool-suite helps programmers develop power-efficient code for GPUs by identifying bottlenecks relating to performance (for example in terms of frames-per-second) and power (for example in terms of energy per instruction). The LPGPU2 tool suite has benefited from the expertise of a range of academic and industrial partners including Khronos members Samsung, who designed and implemented the data collection frameworks and feedback engine; Think Silicon validated it on their four-core NEMA GPU system and Codeplay extended AMD’s CodeXL tool, allowing programmers to profile their SYCL applications. Download the tool suite from the GitHub repository.
Codeplay are pleased to announce that Andrew Richards, CEO & Founder, Charles Macfarlane, VP Marketing & Rod Burns, Developer Relations Manager, will be at this year's AutoSens in Brussels, exhibiting from 17th to 20th September. Codeplay will be there to discuss the use of open standards such as OpenCL and SYCL on heterogeneous processor solutions to enable the latest vision and machine learning applications for automotive.
Recent work from Boston University has shown that with key optimizations that leverage OpenCL on Arria 10 FPGAs for 3D fast fourier transforms (FFTs), a common HPC workload, the performance can beat out FFT specific IP cores as well as GPU and CPU implementations of the same problem.
Apple has published an official list of all of their devices that use OpenGL and OpenCL, including which version is supported. The earliest machines date back to 2007. The most recent machines to support both OpenCL and OpenGL are the 2018 MacBook Pro 13 and 15 inch. Both machines support OpenGL 4.1 and OpenCL 1.2.