Multicore Performance Analysis at Scale: From Single Node to one Million HPC Cores
Submitted by hebertem on Tue, 2016-07-26 15:21
Colloq: Speaker Institution:
Jülich Supercomputing Centre (JSC)
Colloq: Date and Time:
Mon, 2016-08-08 10:00
Building 5700, Room F234
Colloq: Host Email:
Current HPC systems consist of complex configurations of potentially heterogeneous components. In addition, the hard- and software configuration can change dynamically due to fault recovering processes or power saving efforts. Deep hierarchies of large, complex software components are needed to operate them. Developing efficient and high performance application software for these systems is challenging. Therefore, sophisticated performance measurement and analysis capabilities are required. After introducing Jülich Supercomputing Centre and its systems, the talk will present the performance measurement and analysis tools Score-P, Scalasca and Cube developed and maintained at Jülich Supercomputing Centre, one of the leading HPC computing centres hosting Europe's most parallel machine, a 458,752 core IBM BlueGene/Q. Finally, some industrial and research HPC analysis use cases are presented.
Colloq: Speaker Bio:
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 postdoc 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 an active member in the International Exascale Software Project (IESP) and work package leader in the European (EESI) and Jülich (EIC, ECL) Exascale efforts. Dr.-Ing. Mohr will serve as General Chair for the SC17 Conference. He is the author of several dozen conference and journal articles about performance analysis and tuning of parallel programs.