SELECT * FROM pwn_ihpcf_person_info WHERE ihpcfusername = 'Mohr' Bern MohrHead of the Division Application Support,Institute for Advanced Simulation, Jülich Supercomputing Centre

Bern Mohr

Head of the Division Application Support,Institute for Advanced Simulation, Jülich Supercomputing Centre

Dr.-Ing. Bernd Mohr started to design and develop tools for performance analysis of parallel programs already with his diploma thesis at the University of Erlangen in Germany in 1987, and continued this in his Ph.D. work. During a three year Post-doc position at the University of Oregon, he was responsible for the design and implementation of the original TAU performance analysis framework for the parallel programming language pC++. Since 1996 he is a senior scientist at the Research Center Jülich. Besides being responsible for user support and training in regard to performance tools at the Jülich Supercomputing Centre (JSC), he is leading the KOJAK and Scalasca performance tools efforts together with Felix Wolf of GRS in Aachen. He is active member in the International Exascale Software Project (IESP) and work package leader in the European (EESI) and Jülich (EIC, ECL) Exascale efforts. For the SC Conference series, he serves on the Steering Committee. He is the author of several dozen conference and journal articles about performance analysis and tuning of parallel programs.

Talk Title:

The POP Centre of Excellence -- On the Difficulty of "Selling" free Services

Talk Abstract:

Developers and users of HPC applications can count on free advice from European experts to analyse the performance of their scientific codes. The Performance Optimization and Productivity (POP) Centre of Excellence, funded by the European Commission under H2020, gathers together experts from Barcelona Supercomputing Center, Juelich Supercomputer Centre, High-Performance Computing Center Stuttgart (HLRS), RWTH Aachen University, NAG and Ter@tec. The objective of POP is to provide performance measurement and analysis services to the industrial and academic HPC community, help them to better understand the performance behaviour of their codes and suggest improvements to increase their efficiency. Training and user education regarding application tuning is also provided. Further information can be found at The talk will briefly introduce the POP CoE, its objectives, and its performance analysis and optimization services provided to the community. Details about the tools, methods, and metrics used for the services will also be given. The main part of presentation will report on statistics, outcomes, and success stories from the about 100 performance assessments already performed in the first 2 years of operation. The talk will conclude with lessons learned from providing performance analysis and optimization in a service-oriented professional setting.

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