2024

• Brewer, W., Maiterth, M., Kumar, V., Wojda, R., Bouknight, S., Hines, J., Shin, W., Webb, J., Greenwood, S., Williams, W., Grant, D., & Wang, F., “A digital twin framework for liquid-cooled supercomputers as demonstrated at exascale.” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'24), Atlanta, GA, USA. Nov. 2024 (accepted) / arxiv
• Karimi, A.M., Maiterth, M., Shin, W., Sattar, Naw S., Hao, L., Wang,. F., “Exploring the Frontiers of Energy Efficiency using Power Management at System Scale”, In: SC24 Sustainable Supercomputing Workshop, Atlanta, GA, USA. Nov. 2024 (accepted)
• Shin, W. et.al., “Towards Sustainable Post-Exascale Leadership Computing”, In: SC24 Sustainable Supercomputing Workshop, Atlanta, GA, USA. Nov. 2024 (accepted)
• Maiterth, M., Brewer, W., De Wet, D., Greenwood, S., Kumar, V., Hines, J., Bouknight, S., Wang, Z., Dykes, T., & Wang, F., “Visualizing an exascale data center digital twin: Considerations, challenges and opportunities.” In 2024 IEEE Visualization and Visual Analytics (VIS), St. Pete Beach, FL, USA. 13-18 Oct. 2024. DOI: 10.1109/VIS55277.2024.00012
• Jyotika Athavale, Cullen Bash, Wesley Brewer, Matthias Maiterth, Dejan Milojicic, Harry Petty, Soumyendu Sarkar, “Digital Twins for Data Centers”. In Computer, vol. 57, no. 10, pp. 151-158, Oct. 2024. DOI: 10.1109/MC.2024.3436945.
• John K Holmen, Md Nahid Newaz, Srikanth B Yoginath, Matthias Maiterth, Amir Shehata, Nicholas L Hagerty, Christopher J Zimmer, Wesley H Brewer: “Towards the Development of an Exascale Network Digital Twin”. In: Cray User Group - CUG2024 Proceedings. Perth, WA, Australia. 5-9 May 2024.
• Sajal Dash, Isaac R 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 High Performance 2024 Research Paper Proceedings (39th International Conference), Hamburg, Germany, 12-16 May 2024, pp. 1-11, DOI: 10.23919/ISC.2024.10528939.

2021

• Matthias Maiterth: “A Reference Model for Integrated Energy and Power Management of HPC Systems” Ludwig Maximilians-Universität München, Dissertation. Verlag Dr. Hut 2021, München, Germany, ISBN 978-3-8439-4875-3 Print / Online

2019

• Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, and Daniele Tafani: “Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning” In: PMACS - Performance Monitoring and Analysis of Cluster Systems (Euro-Par 2019 Workshop). Göttingen, Germany.

2018

• Matthias Maiterth, Gregory A. Koenig, Kevin Pedretti, Siddhartha Jana, Natalie Bates, Andrea Borghesi, Dave Montoya, Andrea Bartolini, Milos Puzovic: “Energy and Power Aware Job Scheduling and Resource Management: Global Survey — Initial Analysis.” In: The 14th IEEE Workshop on High-Performance, Power-Aware Computing (HPPAC’18). Vancouver, BC, Canada: IEEE.
• Gregory A. Koenig, Matthias Maiterth, Siddhartha Jana, Natalie Bates, Kevin Pedretti, Milos Puzovic, Andrea Borghesi, Andrea Bartolini, Dave Montoya: “Energy and Power Aware Job Scheduling and Resource Management: Global Survey — An In-Depth Analysis.” In: The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control (DAAC'18). Dallas, TX, USA: DAAC'18, online.

2017

• Matthias Maiterth, Torsten Wilde, David K. Lowenthal, Barry Rountree, Martin Schulz, Jonathan Eastep, Dieter Kranzlmüller: “Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers - Survey & Tutorial.” In: 2017 International Conference on High Performance Computing & Simulation, HPCS 2017, Genoa, Italy, July 17-21, 2017. IEEE, pp. 3–10
• 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 Toward Co-Designed Energy Management Solutions.” In: High Performance Computing - 32st International Conference, ISC High Performance 2017, Frankfurt, Germnay June 18-22, 2017, Proceedings. Vol. 10266. Lecture Notes in Computer Science. Springer, pp. 394–412

2016

• Matthias Maiterth, Martin Schulz, Dieter Kranzlmüller, Barry Rountree: “Power Balancing in an Emulated Exascale Environment.” In: The 12th IEEE Workshop on High-Performance, Power-Aware Computing (HPPAC’16). Chicago, IL, USA: IEEE, pp. 1142–1149.

2015

• 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.” In: 24th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’15). Portland, OR, USA: ACM, pp. 121–132

2014

• Karl Fürlinger, Colin W. Glass, Jose 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.” In: Euro-Par Workshops 2014. Porto, Portugal: Springer, pp. 542–552