Extreme Scaling of Lattice Quantum Chromodynamics

As the complexity and size of challenges in science and engineering are continually increasing, it is highly important that applications are able to scale strongly to very large numbers of cores (>100,000 cores) to enable HPC systems to be utilised efficiently. This paper presents results of strong scaling tests performed with an MPI only and a hybrid MPI + OpenMP version of the Lattice QCD application BQCD on the European Tier-0 system SuperMUC at LRZ.Comment: 5 pages, 2 figures, talk given at the "Extreme Scaling on SuperMUC" Minisymposium during ParCo 2013, International Conference on Parallel Computing, 10-13 September 2013, Munic

Analyzing Performance Properties Collected by the PerSyst Scalable HPC Monitoring Tool

The ability to understand how a scientific application is executed on a large HPC system is of great importance in allocating resources within the HPC data center. In this paper, we describe how we used system performance data to identify: execution patterns, possible code optimizations and improvements to the system monitoring. We also identify candidates for employing machine learning techniques to predict the performance of similar scientific codes.Comment: 9 pages, 201