Recent Press Releases
Apr, 2021
CSC Finland Joins the OpenMP Effort
"At CSC, we expect that with the pre-exascale EuroHPC LUMI supercomputer, OpenMP will play an important role in preparing our applications for the heterogeneous architecture and the exascale era." George Markomanolis, Lead HPC Scientist at CSC
Nov, 2020
OpenMP ARB releases OpenMP 5.1 with vital usability enhancements
While the primary focus has been enhancements, clarifications and corrections to the 5.0 specification, several useful new features have been added such as support for interoperability with lower level APIs like CUDA and HIP.
May, 2020
Mentor Graphics and the University of Basel join the OpenMP effort
“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.”
Dec, 2019
The University of Tennessee joins the OpenMP effort
"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.”
Nov, 2019
OpenMP ARB Releases Technical Report 8
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."
Apr, 2019
The Leibniz Supercomputing Centre joins the OpenMP effort
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.