Codeplay’s ComputeCpp 1.0 enables SYCL and provides C++ developers with ‘High Performance Computing’, ‘Computer Vision’ and ‘Artificial Intelligence’. “Codeplay continues to lead the SYCL community, as demonstrated by the release of ComputeCpp 1.0 featuring the industry’s first fully conformant SYCL 1.2.1 implementation,” said Codeplay’s Michael Wong, chair of the SYCL working group and senior member of the ISO C++ Standards committee. “This latest release will empower developers to more easily harness the power of heterogeneous computing. It also helps improve the experience for developers by making it easy to write applications that can take greater advantage of the compute capabilities present in a range of CPUs, GPUs, and other processor types.” Learn more about ComputeCpp 1.0 and SYCL, or read up on the history of Codeplay and SYCL.

The Embedded Vision Alliance has posted a follow-on article showcasing several case study examples of OpenVX implementations in various applications, leveraging multiple hardware platforms along with both traditional and deep learning computer vision algorithms. The article also introduces readers to an industry alliance created to help product creators incorporate practical computer vision capabilities into their hardware and software, along with outlining the technical resources that this alliance provides. A companion article focuses on more recent updates to the OpenVX API, up to and including latest v1.2 of the specification and associated conformance tests, along with the recently published set of extensions that OpenVX implementers can optionally provide. It also discusses the optimization opportunities available with SoCs’ increasingly common heterogeneous computing architectures.

The curriculum for the 2018 OpenVX Workshop at the Embedded Vision Summit in May has been finalized. The Khronos Group will be presenting a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. Khronos has developed a new curriculum making this a do-not-miss tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. The tutorials will be presented by speakers from Khronos member companies AMD, Axis Communications, Cadence and Codeplay. There will be hands-on practice sessions with the folks who created the OpenVX API to give participants a chance to solve real computer vision problems. Discussions will also include the OpenVX roadmap and what’s to come. Registration is now open but space is limited, so be sure not to wait too long.