Join us at ISC 2019 in Frankfurt (June 16-20) for the BOF 'OpenMP 5.0 is Here: What do I Need to Know About it and What's Coming Next?, plus two tutorials: 'OpenMP Common Core: Learning Parallelization of Real Applications from the Ground-Up' and 'Advanced OpenMP: Performance and 5.0 Features'. more
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.
Blog post by: Jim Cownie principal engineer, Intel (UK) and Michael Klemm, OpenMP CEO and Intel. Summary At SC18 the OpenMP BoF was held on Wednesday 15 November between 5:15pm - 7:00pm There were over 100 attendees. This was a slight drop from last year; maybe there were a [...]
We held an OpenMP BoF “OpenMP 5.0 is Nearly Here -- Find out All About It!” at the ISC2018 event in Frankfurt on Tuesday June 26th. There were over 80 attendees, filling the available space in the room. A summary of the session and presentations are now available online.
The first UK OpenMP Users’ Group Meeting took place at St Catherine’s College Oxford on May 21st and 22nd. Over 40 people attended with everyone who completed the survey saying they would recommend it to colleagues, and rating it as either “Excellent”, or “Very Good”. The presentations are now available online.
OpenMP ARB Technical Report 6 (TR6) extends TR4 adding a number of key features and is a preview of OpenMP 5.0, expected in November 2018. more
The presentations from the 3rd OpenMP developers conference are now available for download from the OpenMPCon website. The conference is the annual forum for the discussion of all aspects of parallel programming with OpenMP. more
Blog: An overview of the OpenMP accelerator support including the latest OpenMP 4.5 features that enhance GPU accelerator support for Fortran, C/C++ and help take us toward Exascale Computing.