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Dr. Georg Hager

  • Organization: Erlangen Regional Computing Center (RRZE)
  • Working group: HPC Services
  • Phone number: +49 9131 85-28973
  • Fax number: +49 9131 302941
  • Email: georg.hager@fau.de
  • Website:
  • Address:
    Martensstr. 1
    91058 Erlangen
    Germany
    Room 1.037
  • Office hours:
    Weekly Fri, 14:00 - 16:00, Room 1.037 (ring bell),

 

You can download my GPG public key from here: pubkey_hager.asc

(fingerprint F98C 5671 D4BA 39B9 EB22 3420 20A3 4544 2003 4CB3, Georg Hager (RRZE) <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 is a senior researcher in the HPC group at RRZE and an associate lecturer at the Institute of Physics of 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 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 over 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.