JUNE 18–22, 2017
FRANKFURT AM MAIN, GERMANY

Eugen Betke

Scientific Employee, Deutsches Klimarechenzentrum
 

Eugen Betke has completed his study of computer science in 2015. In his master thesis he used machine learning methods to predict I/O performance. Now, he is a researcher at the German Climate Computing Centre. His key areas are analysis and optimization of HPC-I/O. He is still interested in machine learning and tries to combine both fields of research.

 
Presenter at: Research Posters - Presentations & Awards
Tuesday, June 20, 2017, 08:30 am - 10:00 am
  (RP11) Benefit of In-Memory Storage for MPI-IO Applications
Tuesday, June 20, 2017, 08:35 am - 09:45 am
  
Research Posters - Presentations & Awards
Tuesday, June 20, 2017, 08:30 am - 10:00 am
  (RP12) On-Line Monitoring Framework
Tuesday, June 20, 2017, 08:35 am - 09:45 am