DASH: Data Structures and Algorithms with Support for Hierarchical Locality. - Karl Fürlinger; Colin W. Glass; José Gracia; Andreas Knüpfer; Jie Tao 001; Denis Hünich; Kamran Idrees; Matthias Maiterth; Yousri Mhedheb; Huan Zhou 005 (Euro-Par Workshops (2), 2014)

Practical Resource Management in Power-Constrained, High Performance Computing. - Tapasya Patki; David K. Lowenthal; Anjana Sasidharan; Matthias Maiterth; Barry Rountree; Martin Schulz 001; Bronis R. de Supinski (HPDC, 2015)

Power Balancing in an Emulated Exascale Environment. - Matthias Maiterth; Martin Schulz 001; Dieter Kranzlmüller; Barry Rountree (IPDPS Workshops, 2016)

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 001; Jonathan Eastep; Dieter Kranzlmiiller (HPCS, 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 (ISC, 2017)

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 (IPDPS Workshops, 2018)

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 (Euro-Par Workshops, 2019)

A Reference Model for Integrated Energy and Power Management of HPC Systems. - Matthias Maiterth (Dr. Hut, 2021)

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 (SC, 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 001; Feiyi Wang (SC Workshops, 2024)

Towards Sustainable Post-Exascale Leadership Computing. - Woong Shin; James B. White; Wael R. Elwasif; Rafael Ferreira da Silva; Christopher Zimmer 001; Bronson Messer; Reuben D. Budiardja; Antigoni Georgiadou; Verónica Melesse Vergara; Jack Lange; Matthias Maiterth; Tim Osborne; et al. (SC Workshops, 2024)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; J. Austin Ellis; Matthias Maiterth; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (ISC, 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 (IEEE VIS, 2024)

Digital Twins for Data Centers. - Jyotika Athavale; Cullen E. Bash; Wesley Brewer; Matthias Maiterth; Dejan S. Milojicic; Harry Petty; Soumyendu Sarkar (Computer, 2024)