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Andreas Gocht
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2020 – today
- 2024
- [i5]Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Hämmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximillian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker:
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer. CoRR abs/2410.15012 (2024) - 2022
- [b1]Andreas Gocht-Zech:
Ein Framework zur Optimierung der Energieeffizienz von HPC-Anwendungen auf der Basis von Machine-Learning-Methoden. Dresden University of Technology, Germany, 2022 - 2021
- [c8]Andreas Gocht
, Alexander Grund, Robert Schöne
Controlling the Runtime Overhead of Python Monitoring with Selective Instrumentation. ProTools@SC 2021: 17-25 - 2020
- [i4]Andreas Gocht, Robert Schöne, Jan Frenzel:
Advanced Python Performance Monitoring with Score-P. CoRR abs/2010.15444 (2020)
2010 – 2019
- 2019
- [c7]Andreas Gocht
A New Approach for Automated Feature Selection. GI-Jahrestagung 2019: 277-278 - [c6]Andreas Gocht
Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC. HPCS 2019: 344-347 - [c5]Robert Schöne
Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance. HPCS 2019: 399-406 - [i3]Robert Schöne, Thomas Ilsche, Mario Bielert, Andreas Gocht
Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance. CoRR abs/1905.12468 (2019) - [i2]Andreas Gocht
Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC. CoRR abs/1906.10970 (2019) - [i1]Robert Speck, Michael Knobloch, Andreas Gocht, Sebastian Lührs:
Using performance analysis tools for parallel-in-time integrators - Does my time-parallel code do what I think it does? CoRR abs/1911.13027 (2019) - 2018
- [c4]Andreas Gocht
A New Approach for Automated Feature Selection. IEEE BigData 2018: 4915-4920 - [c3]Thomas Ilsche, Robert Schöne
System Monitoring with lo2s: Power and Runtime Impact of C-State Transitions. IPDPS Workshops 2018: 712-715 - 2017
- [j1]Joseph Schuchart
The READEX formalism for automatic tuning for energy efficiency. Computing 99(8): 727-745 (2017) - [c2]Thomas Ilsche, Robert Schöne
lo2s - Multi-core System and Application Performance Analysis for Linux. CLUSTER 2017: 801-804 - [c1]Per Gunnar Kjeldsberg, Andreas Gocht
READEX: Linking two ends of the computing continuum to improve energy-efficiency in dynamic applications. DATE 2017: 109-114
Coauthor Index
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