ECP SOLLVE, in conjunction with ORNL and NERSC, are organizing two OpenMP Hackathons in July and August. We encourage participation of teams interested in using OpenMP to port and optimize their applications on GPUs, and in using OpenMP for energy-efficient processor architectures. more
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.
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.
This paper presents an overview of the past, present and future of the OpenMP application programming interface (API). While the API originally specified a small set of directives that guided shared memory fork-join parallelization of loops and program sections, OpenMP now provides a richer set of directives that capture a wide range of parallelization strategies that are not strictly limited to shared memory.
This Technical Report is the public comment draft for the OpenMP Application Programming Specification version 5.0 that augments the OpenMP API Specification version 4.5 with support for C11, C++14/17, and Fortran 2008, for concurrent loops, improved worksharing constructs, task reductions, runtime interfaces for first-party (OMPT) and for third-party tools (OMPD), major extensions to the device constructs, memory allocation features, improved task dependencies, and several clarifications and corrections. Download the TR7 OpenMP 5.0 Draft here and join the public discussion for TR7 here.