Opencl tagged news

TensorFlow gets native support for PowerVR GPUs via optimised open-source SYCL libraries

Imagination Technologies announces that developers working with TensorFlow will be able to target PowerVR GPUs directly thanks to newly optimised open source SYCL neural network libraries. The SYCL version of TensorFlow supports a very large number of AI operations and is easily user-customizable, meaning that developers using the latest neural networks, or researching their own AI technologies, can run those networks out-of-the-box with high performance on PowerVR. Because TensorFlow SYCL support is both open source and open standards-based, it’s an ideal solution for developers who want to accelerate the latest AI technologies on low-power devices. SYCL builds on the concepts and efficiency of Khronos OpenCL. The PowerVR-optimised SYCL libraries – SYCL-DNN, SYCL-BLAS and Eigen – will be available on GitHub. A TensorFlow fork containing extended SYCL support is available from Codeplay’s GitHub.

OpenCL Working Group Releases OpenCL C Language Extensions and C++ for OpenCL Programming Language Documentation

The OpenCL Working Group updated the OpenCL-Docs repository today to add two documents describing community-driven OpenCL initiatives: An initial draft of the C++ for OpenCL programming language documentation (PDF), and OpenCL C Language Extensions documentation (PDF), which includes the first language extension for variadic macros. Both documents are released under a CC-BY license. Many more resources for OpenCL are available on the OpenCL Resources page. The OpenCL community is welcome to contribute by adding and updating OpenCL resources via GitHub.

The 8th International Workshop on OpenCL (IWOCL) including SYCLcon 2020 has been announced. Join like minded developers for three days of talks, workshops and community networking aimed at furthering the collaboration and knowledge sharing amongst the international community of high-performance computing specialist working with OpenCL, SYCL, SPIR and Vulkan Compute. The event will include a mix of hands-on tutorials, technical presentations, research papers, posters, panel discussions, networking and vendor discussions.

Wind River announces new release of VxWorks. This new release offers a real-time operating system to support C++17, Boost, Python, and Rust collection of technologies, along with continued support for languages like Ada and SPARK; New LLVM-based infrastructure that enables support for a broad set of modern and productive tools and frameworks; New open source board support packages (BSPs) such as Raspberry Pi and TI Sitara AM65x for quick prototyping and flexibility of choice and OpenSSL 1.1.1 for the most up-to-date cryptography libraries. According to Charles Macfarlane of Codeplay Software, this release of VxWorks will enable developers of next generation ADAS systems to integrate the most advanced vision and machine learning solutions using OpenCL and SYCL.

LLVM/Clang release 9.0 with experimental support of C++ for OpenCL

​LLVM Clang 9.0 has been released and is now available for download. This is the first release to contain experimental support of C++ for OpenCL language mode in Clang. More details can be found in the Clang documentation. This new support will be discussed at the LLVM Developers meeting (October 2019) at the From C++ for OpenCL to C++ for accelerator devices talk by Khronos Member Anastasia Stulova.

Alternatives to C++ Function Pointers in SYCL using Function Objects

In C++, especially in modern C++, function pointers are a legacy feature from the C language but they still exist in some code bases. SYCL does not provide support for function pointers as this is a limitation posed by the design of OpenCL v1.2 which is the basis of the current SYCL v1.2.1 definition. The good news is that we can use modern C++ to implement a solution that can be used with SYCL. Learn how to do this with examples from Codeplay.

Heterogeneous-Compute Interface for Portability (HIP) is a runtime API and a conversion tool to help make CUDA programs more portable. It was originally contributed by AMD to the open source community with the intention to ease the effort of making CUDA applications also work on AMD’s ROCm platform.

While AMD and NVIDIA share the vast majority of the discrete GPU market, it is useful to make this “CUDA portability enhancement route” available to an even wider set of platforms. Since the Khronos OpenCL standard remains the most widely adopted cross-platform heterogeneous programming API/middleware, it is interesting to study whether HIP could be ported on top of it, expanding its scope potentially to all OpenCL supported devices. We in Customized Parallel Computing group, Tampere University, Finland, are happy to announce that to have worked on such a tool, known as HIPCL, for some time and it’s now published and available in Github.

The first release of HIPCL is a proof-of-concept, but is already useful for end-users. It can run most of the CUDA examples in the HIP repository and the list of supported CUDA applications will grow steadily as we add new features.

Andrew Richards, CEO and Co-founder of Codeplay Software, presents the “Can We Have Both Safety and Performance in AI for Autonomous Vehicles?” tutorial at the May 2019 Embedded Vision Summit. Andrews presentation includes discussion on how SYCL, OpenCL and Vulkan can play into Safety and Performance in vehicles.