Recent Press Releases
“We are delighted to welcome Mentor and the University of Basel as our newest members”, says Michael Klemm, CEO of the OpenMP ARB, “Both are very active in the open source and scientific community, and underline the relevance of the OpenMP API in the HPC community.”
"The University of Tennessee has been involved in the development of many standards over the past thirty years", says Jack Dongarra, Distinguished Professor at the University of Tennessee. “We are proud to continue that effort in helping to define community standards by joining the OpenMP ARB.”
The OpenMP Architecture Review Board (ARB) has released Technical Report 8, the first preview for the future OpenMP API, version 5.1. Commenting on the announcement the OpenMP Language Committee Chair Bronis R. de Supinski said, "While 5.1 will include only a small set of new features, TR8 demonstrates that those additions, such as the 'assume' directive, will provide important usability enhancements."
The Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities in Germany (LRZ) has joined the OpenMP Architecture Review Board (ARB), a group of leading hardware and software vendors and research organizations creating the standard for the most popular shared-memory parallel programming model in use today.
The Maui High-Performance Computing Center (MHPCC) and the University of Manchester have joined the OpenMP ARB. This brings the number of vendors and research organizations now collaborating on developing the standard parallel programming model to 33.
SC18, Dallas, Texas – November 8, 2018 – The OpenMP® Architecture Review Board (ARB) is pleased to announce Version 5.0 of the OpenMP API Specification, a major upgrade of the OpenMP language. The OpenMP community has made many requests since version 4.5 was introduced in 2015. As a result OpenMP 5.0 adds many new features that will be useful for highly parallel and complex applications. OpenMP now covers the entire hardware spectrum from embedded and accelerator devices to multicore systems with shared-memory. Vendors have made reference implementations of parts of the standard, and user courses will soon be given at OpenMP workshops and major conferences. More...