| Practical resource management in power-constrained, high performance computing T Patki, DK Lowenthal, A Sasidharan, M Maiterth, BL Rountree, M Schulz, ... Proceedings of the 24th international symposium on high-performance parallel …, 2015 | 121 | 2015 |
| Global extensible open power manager: A vehicle for HPC community collaboration on co-designed energy management solutions J Eastep, S Sylvester, C Cantalupo, B Geltz, F Ardanaz, A Al-Rawi, ... High Performance Computing: 32nd International Conference, ISC High …, 2017 | 87 | 2017 |
| DASH: Data structures and algorithms with support for hierarchical locality K Fürlinger, C Glass, J Gracia, A Knüpfer, J Tao, D Hünich, K Idrees, ... Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014 | 54 | 2014 |
| Energy and power aware job scheduling and resource management: Global survey—initial analysis M Maiterth, G Koenig, K Pedretti, S Jana, N Bates, A Borghesi, D Montoya, ... 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018 | 43 | 2018 |
| Power aware high performance computing: Challenges and opportunities for application and system developers—Survey & tutorial M Maiterth, T Wilde, D Lowenthal, B Rountree, M Schulz, J Eastep, ... 2017 International Conference on High Performance Computing & Simulation …, 2017 | 15 | 2017 |
| Towards a predictive energy model for HPC runtime systems using supervised learning G Ozer, S Garg, N Davoudi, G Poerwawinata, M Maiterth, A Netti, D Tafani Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International …, 2020 | 12 | 2020 |
| A strawman for an hpc powerstack C Cantalupo, J Eastep, S Jana, M Kondo, M Maiterth, A Marathe, T Patki, ... Intel Corporation (United States); Lawrence Livermore National Lab.(LLNL …, 2018 | 10 | 2018 |
| Power balancing in an emulated exascale environment M Maiterth, M Schulz, D Kranzlmüller, B Rountree 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 9 | 2016 |
| Energy-efficient runtime in HPC systems with machine learning G Ozer, S Garg, G Poerwawinata, N Davoudi, MDT LRZ, M Maiterth, ... Technical University of Munich, Data Innovation Lab, 2019 | 3 | 2019 |
| Global Survey of Energy and Power-aware Job Scheduling and Resource Management in Supercomputing Centers S Jana, GA Koenig, M Maiterth, KT Pedretti, A Borghesi, A Bartolini, ... | 2 | 2017 |
| Scalability under a Power Bound using the GREMLINs Framework M Maiterth Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2015 | 2 | 2015 |
| Parallel Datalog on Pregel M Maiterth Institut fur Informatik der Ludwig-Maximilians-Universitat Munchen, 2012 | 2 | 2012 |
| A reference model for integrated energy and power management of HPC systems M Maiterth lmu, 2021 | 1 | 2021 |
| Energy and Job Scheduling and Resource Management: Global Survey --- An In-Depth Analysis GA Koenig, M Maiterth, S Jana, N Bates, K Pedretti, M Puzovic, ... The 2nd International Industry/University Workshop on Data-center Automation …, 2018 | | 2018 |
| Energy and Power Aware Job Scheduling and Resource Management: Global Survey?. G Koenig, M Maiterth, S Jana, N Bates, K Pedretti, M Puzovic, A Borghesi, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2018 | | 2018 |
| EE HPC SOP 2021 Conference Organization N Bates, S Jana, T Wilde, AM Bailey, C Deprater, D Grant, D Martinez, ... | | |
| ISPDC 2015 Reviewers M Jawad, N Sukhija, J Zhou, S Soner, M Maiterth, D Antão, G Buse, D Dai, ... | | |
| HPCS 2017 D Kranzlmüller, M Maiterth, T Wilde | | |
| HPCS 2017 M Maiterth, T Wilde, D Lowenthal, B Rountree, M Schulz, J Eastep, ... | | |
