OpenMPCon to Showcase Latest Advances in High-Performance Computing using Directive Based Parallel Programming Languages Such As OpenMP
July 13th, 2015 – The OpenMP Architecture Review Board (ARB) today announced the full line-up of world-class keynote speakers, technical presentations, tutorials and panel sessions to be hosted at the inaugural OpenMPCon Developer Conference, which will be held in Aachen, Germany, 28-30 September, 2015. For full details and registration visit: www.openmpcon.org
“The strength of this year’s program looks set to establish OpenMPCon as the single most important event for all OpenMP developers.” said Michael Wong, OpenMP CEO. “I’m delighted with both the depth and breadth of the program which caters to both the novice and experienced developer. Most importantly we have provided plenty of time in the program for delegates to network with colleagues, share experience and leave having had all their questions answered.”
Representatives of OpenMP and OpenMPCon will be present at the ISC High Performance event on the JARA stand #1320 between 13-15 July in Frankfurt, Germany to discuss OpenMPCon and offer developers OpenMP C/C++ and Fortran reference cards.
- OpenMP in an era of Ubiquitous Parallel Computing. James Reinders, Intel
- Towards Using OpenMP in Embedded Systems. Eric Stotzer, Texas Instruments
- A Hands-On Introduction to OpenMP. Tim Mattson, Intel
- “OpenMP Does Not Scale” ? Ruud van der Pas, Oracle Corporation
- Advanced OpenMP Tasking. Michael Klemm, Intel and Christian Terboven, RWTH Aachen University
- SIMD Programming with OpenMP. Georg Zitzelsberger, Intel
- OpenMP Accelerator Programming. Eric Stotzer, Texas Instruments
- OpenMP 4.1 vs OpenACC 2.0. James Beyer, CRAY
- OpenMP Tips, Tricks and Gotchas. Mark Bull, EPCC, University of Edinburgh
- OpenMP Analysis in Intel VTune Amplifier XE. Dmitry Prohorov, Intel
- GCC Support to Compile OpenMP 4 for HAS. Martin Jambor, SUSE Linux.
- Where Did My Performance Go? Mark Bull, EPCC, University of Edinburgh
- OpenMP 4.0 vs. OpenCL: Performance Comparison. Simon McIntosh-Smith, Univ. Bristol
- A Success Case: The NAS Parallel Benchmark EP. Manuel Arenaz, Appentra Solutions
- Porting OpenACC 2.0 to OpenMP 4.0. Oscar Hernandez, Oak Ridge National Laboratory
- Using OpenMP at NERSC. Yun He, Lawrence Berkeley National Lab
- Inside Intel Compilers: Effective OpenMP SIMD Vectorization. Xinmin Tian, Intel
- Enabling Application Portability across HPC Platforms using Open Standards: User-oriented goals for OpenMP. Alice Koniges, Lawrence Berkeley National Lab
- Grill the OpenMP CEO and Committee ARB – feedback on the draft specification and future directions
- OpenMPCon next Planning? – Planning for the next OpenMPCon in Kobe, Japan
At OpenMPCon 2015 delegates will enjoy thought provoking keynotes and inspirational and informative tutorials, talks and presentations. The relaxed and friendly atmosphere will provide a great opportunity for developers to discuss and share their OpenMP experiences with industry experts, fellow developers and technology suppliers. OpenMPCon is expected to appeal to a wide range of OpenMP professionals, including:
- Developers, students, consultants and educators
- Managers, Directors and team leaders
- Vendor companies, sponsors and book publishers
- Career seekers, recruiters, veterans, students and schools
OpenMPCon is partnering closely with IWOMP 2015, the research focused International Workshop on OpenMP which will take place immediately after OpenMPCon. Developers are encouraged to attend both events. Early Bird registration for OpenMPCon is available until 31 August.
Sponsors for OpenMPCon include: Appentra, cOMPunity, hgpu.org, insideHPC, Intel, JARA, OpenMP ARB, RWTH Aachen University, Silexica and Texas Instruments.
About OpenMP ARB
The OpenMP ARB has as mission to standardize directive-based multi-language high-level parallelism that is performant, productive and portable. Jointly defined by a group of major computer hardware and software vendors and major parallel computing user facilities, the OpenMP API is a portable, scalable model that gives parallel programmers a simple and flexible interface for developing parallel applications for platforms ranging from embedded systems and accelerator devices to multicore systems and shared-memory systems. The OpenMP ARB owns the OpenMP brand, oversees the OpenMP specification and produces and approves new versions of the specification.