Master Your Multicore System Using OpenMP

About OpenMP
Since its introduction in 1997, OpenMP (https://www.openmp.org) has provided a portable shared memory parallel programming model for C, C++, and Fortran.OpenMP has steadily increased market share and has evolved to the de-facto standard to program multicore systems, optionally extended with certain types of accelerators.

The OpenMP Architecture Review Board, or ARB for short, drives the efforts. The ARB consists of 33 members from the academic and research community, as well as industry. All leading hardware vendors are represented for example.

The OpenMP specifications continue to closely track the trends in both the hardware design, as well as software practices. The latest 5.1 specifications were released in November 2020.

The Presentation
The first part of this presentation is a guided tour through OpenMP. The main features will be introduced and briefly discussed. It will also be shown how one can transform a serial, non-parallel, application into a program suitable for execution on a multicore system. This session includes a live demo.

After the break, we zoom in on performance. Increasing the performance is the goal of parallel computing after all. Several real-world case studies will be presented. Extra attention will be given to systems with a Non-Uniform Memory Architecture, or NUMA for short. Such systems are very common these days. Through the NUMA support in OpenMP, the developer can fully exploit the memory characteristics. Through an elaborate case study it is shown how this can be accomplished.

Recommended Background
This talk does not assume any background in parallel computing. All concepts needed will be explained. Although not required, it is helpful to have some programming experiences though, preferably in C/C++ and/or Fortran.

About the Presenter

Ruud van der Pas has a background in mathematics and physics. He is a Distinguished Engineer with a long track record in High Performance Computing (HPC) and has worked at several companies, including Convex, Silicon Graphics, and Sun Microsystems.

Ruud currently works at Oracle in the Linux Engineering organization. He is part of the tools group and is involved with the development of several performance oriented tools for Linux.He is also quite active in the OpenMP community and provides advice on how to improve the performance of user applications. Ruud has co-authored two books on OpenMP, titled "Using OpenMP" and “Using OpenMP - The Next Step", both published by MIT Press.

Organizer: Anton Rydahl, IDA IT.

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Organizer: The Danish Society of Engineers, IDA

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