OpenMP News

»aiXcelerate 2012 - Tuning for big SMP HPC Workshop

RWTH Aachen Unversity

Monday, Oct 8 - Wednesday, Oct 10, 2012

Center for Computing and Communication

RWTH Aachen University (Aachen, Germany)

This tuning workshop will cover tools and methods to program big SMP systems in detail.

Attendees are kindly requested to prepare and bring in their own code, if applicable. It is recommended to have good knowledge in MPI and/or OpenMP and the programming language (C/C++/Fortran) of the code. If you do not have an own code, but you are interested in the presented topics, you can work on prepared exercises during the lab time.
The machines are all operated under Linux, so all codes need to run there.
Participants from RWTH Aachen university are welcome, but also participants from other universities or  companies.
The presentations will be given in English.
For details, read more…

»IWOMP 2012 Proceedings Available


The proceedings of IWOMP 2012 are now available!

Barbara M. Chapman, Federico Massaioli, Matthias S. Müller, Marco Rorro (Eds.):
OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, IWOMP 2012, Rome, Italy, June 11-13, 2012.
. Lecture Notes in Computer Science 7312 Springer 2012, ISBN 978-3-642-30960-1

»Convey Computer Joins the OpenMP Effort

Convey ComputerChampaign, Illinois — June 19, 2012 — Convey Computer has 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.

“We’re excited to begin collaborating and pushing the boundaries of programmable accelerator technology,” said John Leidel, Convey Software Architect.  “Convey’s current and future platform development is exactly in line with the OpenMP ARB’s vision of supporting heterogeneous architectures using a standard parallel programming model specification.”

Based in Richardson, Texas, Convey Computer breaks power, performance and programmability barriers with the world’s first hybrid-core computer—a system that marries the low cost and simple programming model of a commodity system with the performance of a customized hardware architecture.

“Strong OpenMP membership and continued growth help us in expanding the OpenMP programming model into new fields” said Michael Wong, OpenMP CEO. “We are excited to welcome Convey Computer as an OpenMP member.”

The OpenMP Architecture Review Board (ARB)  now has 14 permanent members and 9 auxiliary members. Permanent members are vendors who have a long-term interest in creating products for OpenMP. These are AMD, CAPS-Enterprise, Convey Computer, Cray, Fujitsu, HP, IBM, Intel, Microsoft, NEC, NVIDIA, Oracle Corporation, The Portland Group, Inc., and Texas Instruments. Auxiliary members are organizations with an interest in the standard but that do not create or sell OpenMP products. They are ANL, ASC/LLNL, cOMPunity, EPCC, LANL, NASA, ORNL, RWTH Aachen University, and the Texas Advanced Computing Center.

»OpenMP at ISC’12 - Hamburg


The OpenMP ARB is represented on the International Supercomputing Conference ISC’12
June 18-20 in Hamburg, Germany by JARA, the research collaboration of the Jülich Research Center and the RWTH Aachen University.

Get an OpenMP reference card and meet members of the HPC team of the RWTH Aachen University’s Center for Computing and Communication at booth #152.

»Tell Us Who’s Using OpenMP and How…

There’s a new feature on the OpenMP website:

Let the world-wide OpenMP community know about how your organization or project is using OpenMP in your multithreaded parallel applications. »Who’s Using OpenMP

»IWOMP 2012 Registration Now Open

IWOMP 2012 Rome Italy

8th International Workshop on OpenMP
June 11-13 :: Rome, Italy

Registration for the International Workshop on OpenMP - IWOMP 2012 is now open!

  • Early registration deadline: May 18th, 2012
  • A limited number of hotel rooms are available during the tutorial and workshop dates.
    The deadline for room booking and reservation is: May 10th 2012
  • Registration and preliminary workshop program are available at:

»OpenMP is Being Improved for Accelerators, Multicore and Embedded Systems

OpenMP aims to provide parallel language support for automotive, aeronautics, biotech, and financial applications.

CHAMPAIGN, Illinois, March 27, 2012 - OpenMP, the de-facto standard for parallel programming on shared memory systems, continues to extend its reach beyond pure HPC to include embedded systems, multicore and real time systems. A new version is being developed that will include support for accelerators, error handling, thread affinity, tasking extensions and Fortran 2003. The OpenMP consortium welcomes feedback from all interested parties and will use this feedback to improve the next version of OpenMP.

OpenMP aims to provide high-level parallel language support for a wide range of applications, from automotive and aeronautics to biotech, automation, robotics and financial analysis.

The key features that the OpenMP consortium is working on include:

  • Support for accelerators. A mechanism will be provided to describe regions of code where data and/or computation should be moved to any of a wide variety of computing devices. User experiences with the OpenACC directives will provide important information to the OpenMP effort. The minimum feature core required for an initial release has been defined.
  • Error handling. Error handling capabilities of OpenMP will be defined to improve the resiliency and stability of OpenMP applications in the presence of system-level, runtime-level, and user-defined errors. Features to cleanly abort parallel OpenMP execution have been defined, based on conditional cancellation and user-defined cancellation points.
  • Thread affinity. Users will be given a way to define where to execute OpenMP threads. Platform-specific data and algorithm-specific properties are separated, offering a deterministic behavior and simplicity in use. The advantages for the user are better locality, less false sharing and more memory bandwidth.
  • Tasking extensions. The new tasking extensions being considered are task deep synchronization, dependent tasks, reduction support for tasks, and task-only threads. Task-only threads are threads that do not take part in worksharing constructs, but just wait for tasks to be executed.
  • Support for Fortran 2003. The Fortran 2003 standard adds many modern computer language features. Having these features in the specification allows users to take advantage of using OpenMP directives to parallelize Fortran 2003 complying programs. This includes interoperability of Fortran and C, which is one of the most popular features in Fortran 2003.

“OpenACC contributes to OpenMP by providing real-world exposure to programming concepts embraced by both groups,” said Duncan Poole, President of the OpenACC standards group. “The founding OpenACC members are all members of the OpenMP Working Group on Accelerators. Even now as OpenACC compilers are released to the market, we look forward to a time when our experiences bring additional validation to the standard we are all developing within the OpenMP process. Developers will benefit from early access to OpenACC tools, and can be assured that these same companies are working to support OpenMP in a future version.”

This year will be the fifteenth anniversary of OpenMP. Not many parallel languages can say that and we are still growing”, said Michael Wong, CEO of the OpenMP ARB, “OpenMP will be made more robust, and will cover more types of systems.”

»OpenMP at Multicore Developers Conference 2012

Multicore Expo 2012

OpenMP is exhibiting at the Multicore Developers Conference, March 27-29 at the McEnery Convention Center in San Jose, California in booth #2046.

Co-located with the Design West Conference, the agenda for this event promises to be interesting, with tracks on Multicore Software Design Strategies, Applied Multicore Technology, and Multicore Executive Strategies.

Visit us in our booth talk about the latest in OpenMP, get answers to your questions, learn about release 3.1 of the OpenMP API, and pick up the latest OpenMP reference card!

For registration and other information visit

The OpenMP API supports multi-platform shared-memory parallel programming in C/C++ and Fortran. The OpenMP API defines a portable, scalable model with a simple and flexible interface for developing parallel applications on platforms from the desktop to the supercomputer.
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