Matthias Maiterth

According to our database, Matthias Maiterth authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Digital Twins for Data Centers.

Jyotika Athavale, Cullen E. Bash, Wesley Brewer, Matthias Maiterth, Dejan S. Milojicic, Harry Petty, Soumyendu Sarkar

Computer, October, 2024

Exploring the Frontiers of Energy Efficiency using Power Management at System Scale.

Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang

CoRR, 2024

Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities.

Matthias Maiterth, Wes Brewer, Dane De Wet, Scott Greenwood, Vineet Kumar, Jesse Hines, Sedrick Bouknight, Zhe Wang, Tim Dykes, Feiyi Wang

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Optimizing Distributed Training on Frontier for Large Language Models.

Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale.

Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang

Proceedings of the International Conference for High Performance Computing, 2024

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