Recent Press Releases
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...
SUSE and the University of Delaware have joined the OpenMP 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.
Austin, Texas – July 24, 2018 - The OpenMP® Architecture Review Board (ARB) has released Technical Report 7, the final preview and public comment draft for the future OpenMP® API, version 5.0. Version 5.0 will represent a major leap forward to ready the OpenMP programming model for Exascale computing. Users and implementers are encouraged to provide feedback on the proposed API. Feedback can be posted on the OpenMP Forum.
The OpenMP ARB announces the appointment of Barbara Chapman to its Board of Directors. Barbara Chapman is a professor of Applied Mathematics and Statistics, and of Computer Science, at Stony Brook University. She is also director of Computer Science and Mathematics at Brookhaven National Lab, where she leads an effort to evolve OpenMP and its implementation for large-scale scientific applications. Barbara aims to improve outreach and training activities to facilitate the adoption of OpenMP.