Dr. Georg Hager

Dr. Georg Hager

Head of Training & Support

Erlangen National High Performance Computing Center (NHR@FAU)
Training & Support Division

Room: Room 1.037
Martensstr. 1
91058 Erlangen
Germany

 

You can download my GPG public key from here: Georg Hager georg.hager@fau.de-(0xCFE866752A812572)-public

(fingerprint 6BE4 61E5 AB6B 509A F0C9 C759 CFE8 6675 2A81 2572,  <georg.hager@fau.de>)

 

You may have a look at my List of publications and my Google scholar page.

Short bio

Georg Hager holds a PhD and a Habilitation degree in Computational Physics from the University of Greifswald. He leads the Training & Support Division at Erlangen National High Performance Computing Center (NHR@FAU) and is an associate lecturer at the Institute of Physics at the University of Greifswald. Recent research includes architecture-specific optimization strategies for current microprocessors, performance engineering of scientific codes on chip and system levels, and the analytic modeling of structure formation in large-scale parallel codes. He served as a PI in the ESSEX (Equipping Sparse Solver for Exascale) project within the SPPEXA DFG priority programme. Georg Hager has authored and co-authored more than 100 peer-reviewed publications and was instrumental in developing and refining the Execution-Cache-Memory (ECM) performance model and energy consumption models for multicore processors. In 2018, he won the “ISC Gauss Award” (together with Johannes Hofmann and Dietmar Fey) for a paper on accurate performance and power modeling. He received the “2011 Informatics Europe Curriculum Best Practices Award” (together with Jan Treibig and Gerhard Wellein) for outstanding contributions to teaching in computer science. His textbook “Introduction to High Performance Computing for Scientists and Engineers” is recommended or required reading in many HPC-related lectures and courses worldwide. Together with colleagues from FAU, HLRS Stuttgart, and TU Wien he develops and conducts successful international tutorials on node-level performance engineering and hybrid programming.