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Team Member: Matthias Maiterth

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Email maiterth _at_ nm.ifi.lmu.de
Phone +49 89 2180-9146
Fax +49 89 2180-9147
External Member Please refer to the personal website.


Please refer to my personal website.

Student Work

Work Completed:

Publications

  • Maiterth, M., Koenig, G., Pedretti, K., Jana, S., Bates, N., Borghesi, A., Montoya, D. R., Bartollini, A., Puzovic, M., Energy and Power Aware Job Scheduling and Resource Management: Global Survey Initial Analysis, In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2018, IEEE, Vancouver, Canada, Mai, 2018.
  • Maiterth, M., Wilde, T., Lowenthal, D. K., Rountree, B., Schulz, M., Eastep, J., Kranzlmüller, D., Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers Survey & Tutorial, In International Conference on High Performance Computing & Simulation, HPCS 2017, IEEE, Genova, Italy, Juli, 2017.
  • Eastep, J., Sylvester, S., Cantalupo, C., Geltz, B., Ardanaz, F., Al–Rawi, A., Livingston, K., Keceli, F., Maiterth, M., Jana, S., Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co–Designed Energy Management Solutions, In High Performance Computing — 32nd International Conference, ISC High Performance 2017, 394–412, Springer, Frankfurt, Germany, Juni, 2017.
  • Maiterth, M., Schulz, M., Rountree, B., Kranzlmüller, D., Power Balancing in an Emulated Exascale Environment, In The 12th IEEE Workshop on High–Performance, Power–Aware Computing (HPPAC) 2016, Chicago, IL, Mai, 2016.
  • Patki, T., Lowenthal, D. K., Sasidharan, A., Maiterth, M., Rountree, B., Schulz, M., Supinski, B. R., Practical Resource Management in Power–Constrained, High Performance Computing, In Proceedings of the 24th International Symposium on High–Performance Parallel and Distributed Computing, HPDC 2015, Portland, OR, USA, June 15–19, 2015, 121 — 132, ACM, Juni, 2015.
  • Fuerlinger, K., Glass, C., Gracia, J., Knüpfer, A., Tao, J., Hünich, D., Idrees, K., Maiterth, M., Mbedheb, Y., Zhou, H., DASH: Data Structures and Algorithms with Support for Hierarchical Locality, In Euro–Par 2014 Workshops , Porto, Portugal, August, 2014.