Matthias Maiterth
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2014–2026
Best venue rank
A
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICS | Wattchmen: Watching the Wattchers - High Fidelity, Flexible GPU Energy Modeling. | Brandon Tran, Matthias Maiterth, Woong Shin, Matthew D. Sinclair, Shivaram Venkataraman |
| 2025 | ICS | A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe. | Tapasya Patki, Barry Rountree, Torsten Wilde, Andrea Bartolini, Stephanie Brink, Esa Heiskanen, Sachin Idgunji, Matthias Maiterth, James H. Rogers, Ermal Rrapaj, Ralf Schneider, Woong Shin, Kathleen Shoga, Christian Simmendinger, Nicholas J. Wright, Zhengji Zhao |
| 2025 | SC | Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. | Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang |
| 2025 | SC | HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. | Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Rashadul Kabir, Kevin Menear, Dmitry Duplyakin, Tapasya Patki, Terry R. Jones, Feiyi Wang |
| 2025 | SC | Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. | Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jord Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer |
| 2024 | SC | 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 |
| 2024 | SC | 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 |
| 2024 | SC | Towards Sustainable Post-Exascale Leadership Computing. | Woong Shin, James B. White, Wael R. Elwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reuben D. Budiardja, Antigoni Georgiadou, Vernica Melesse Vergara, Jack Lange, Matthias Maiterth, Tim Osborne, Leah Huk, John K. Holmen, Nick Hagerty, Ahmad Maroof Karimi, Thomas J. Naughton, Ryan Adamson, Ryan Prout, Feiyi Wang, Scott Atchley, Kevin G. Thach, Thomas Beck, Sarp Oral |
| 2019 | EuroPar | 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 |
| 2015 | HPDC | 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 |
| 2014 | EuroPar | DASH: Data Structures and Algorithms with Support for Hierarchical Locality. | Karl Frlinger, Colin W. Glass, Jos Gracia, Andreas Knpfer, Jie Tao, Denis Hnich, Kamran Idrees, Matthias Maiterth, Yousri Mhedheb, Huan Zhou |