Join us in Salt Lake City for Supercomputing 2016 where we will have a BOF session, workshops, and our usual booth talks (#611), reference cards to give away - and beer socials. read more
Inria, the French National Institute for computer science and applied mathematics joins the OpenMP ARB group. "Inria looks forward to contribute this expertise in making OpenMP meet the challenges of the Exascale era”.
The University of Bristol has joined the OpenMP ARB group of leading organizations creating the standard for the most popular shared-memory parallel programming model in use today.
GCC 6.1 is a major release containing substantial new functionality not available in GCC 5.x or previous GCC releases. The OpenMP 4.5 specification is fully supported in this new release.
LLVM Clang growing towards full OpenMP 4.5, GCC 6.1 released, How to do Parallel Processing with Python, OpenMP and OpenCL on Intel Xeon Phi and more ...
OpenMPCon is the annual forum for OpenMP developers to present and discuss the development of real-world applications that leverage the performance of parallel processing through the use of OpenMP. OpenMPCon takes place 3-5 October in Nara, Japan.
PRESS RELEASE OpenMP ARB Appoints Michael Klemm as New CEO Champaign, Illinois — April 21, 2016 - The Board of Directors of the OpenMP Architecture Review Board (ARB) is pleased to announce the appointment of Dr. Michael Klemm as the new CEO of the OpenMP organization, a group of vendors [...]
PRESS RELEASE OpenMP ARB Announces Lawrence Berkeley National Laboratory as New Member 27 vendors and research organizations now collaborating on developing parallel programming model Champaign, Illinois — February 17, 2015 — Lawrence Berkeley National Laboratory (Berkeley Lab) has joined the OpenMP Architecture Review Board (ARB), a group of leading hardware [...]
The OpenMP ARB is pleased to announce OpenMP 4.5, a major upgrade of the OpenMP standard language specifications. This release provides a substantial improvement on the support for programming of accelerator and GPU devices, and supports now also the parallelization of loops with well-structured dependencies. Implementation is underway in GCC [...]