Matthias Maiterth

According to our database, Matthias Maiterth authored at least 8 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Reference Model for Integrated Energy and Power Management of HPC Systems.

Matthias Maiterth

PhD thesis, 2021

2019

Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning.

Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, Daniele Tafani

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis.

Matthias Maiterth, Gregory A. Koenig, Kevin T. Pedretti, Siddhartha Jana, Natalie J. Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co-Designed Energy Management Solutions.

Jonathan Eastep, Steve Sylvester, Christopher Cantalupo, Brad Geltz, Federico Ardanaz, Asma Al-Rawi, Kelly Livingston, Fuat Keceli, Matthias Maiterth, Siddhartha Jana

Proceedings of the High Performance Computing - 32nd International Conference, 2017

Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers - Survey & Tutorial.

Matthias Maiterth, Torsten Wilde, David K. Lowenthal, Barry Rountree, Martin Schulz, Jonathan Eastep, Dieter Kranzlmiiller

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016

Power Balancing in an Emulated Exascale Environment.

Matthias Maiterth, Martin Schulz, Dieter Kranzlmüller, Barry Rountree

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Practical Resource Management in Power-Constrained, High Performance Computing.

Tapasya Patki, David K. Lowenthal, Anjana Sasidharan, Matthias Maiterth, Barry Rountree, Martin Schulz, Bronis R. de Supinski

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

DASH: Data Structures and Algorithms with Support for Hierarchical Locality.

Karl Fürlinger, Colin W. Glass, José Gracia, Andreas Knüpfer, Jie Tao, Denis Hünich, Kamran Idrees, Matthias Maiterth, Yousri Mhedheb, Huan Zhou

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014