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Books and Theses
- 2021
[b1]Matthias Maiterth:
A Reference Model for Integrated Energy and Power Management of HPC Systems. Ludwig Maximilian University of Munich, Germany, Dr. Hut 2021, ISBN 978-3-8439-4875-3, pp. 1-271
Journal Articles
- 2024
- [j1]Jyotika Athavale
, Cullen E. Bash, Wesley Brewer, Matthias Maiterth, Dejan S. Milojicic, Harry Petty, Soumyendu Sarkar:
Digital Twins for Data Centers. Computer 57(10): 151-158 (2024)
Conference and Workshop Papers
- 2024
- [c8]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. ISC 2024: 1-11 - 2019
- [c7]Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, Daniele Tafani:
Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. Euro-Par Workshops 2019: 626-638 - 2018
- [c6]Matthias Maiterth, Gregory A. Koenig, Kevin T. Pedretti, Siddhartha Jana, Natalie J. Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic:
Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis. IPDPS Workshops 2018: 685-693 - 2017
- [c5]Matthias Maiterth, Torsten Wilde, David K. Lowenthal, Barry Rountree, Martin Schulz, Jonathan Eastep, Dieter Kranzlmiiller:
Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers - Survey & Tutorial. HPCS 2017: 3-10 - [c4]Jonathan Eastep, Steve Sylvester, Christopher Cantalupo, Brad Geltz, Federico Ardanaz, Asma Al-Rawi, Kelly Livingston, Fuat Keceli, Matthias Maiterth, Siddhartha Jana:
Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co-Designed Energy Management Solutions. ISC 2017: 394-412 - 2016
- [c3]Matthias Maiterth, Martin Schulz, Dieter Kranzlmüller, Barry Rountree:
Power Balancing in an Emulated Exascale Environment. IPDPS Workshops 2016: 1142-1149 - 2015
- [c2]Tapasya Patki, David K. Lowenthal, Anjana Sasidharan, Matthias Maiterth, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
Practical Resource Management in Power-Constrained, High Performance Computing. HPDC 2015: 121-132 - 2014
- [c1]Karl Fürlinger, Colin W. Glass, José Gracia, Andreas Knüpfer, Jie Tao, Denis Hünich, Kamran Idrees, Matthias Maiterth, Yousri Mhedheb, Huan Zhou:
DASH: Data Structures and Algorithms with Support for Hierarchical Locality. Euro-Par Workshops (2) 2014: 542-552
Informal and Other Publications
- 2024
- [i1]Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang:
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. CoRR abs/2408.01552 (2024)
Coauthor Index
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