Andreas Gocht

According to our database, Andreas Gocht authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer.

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

CoRR, 2024

JUmPER: Performance Data Monitoring, Instrumentation and Visualization for Jupyter Notebooks.

Elias Werner, Anton Rygin, Andreas Gocht-Zech, Sebastian Döbel, Matthias Lieber

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2022

Ein Framework zur Optimierung der Energieeffizienz von HPC-Anwendungen auf der Basis von Machine-Learning-Methoden.

Andreas Gocht-Zech

PhD thesis, 2022

2021

Controlling the Runtime Overhead of Python Monitoring with Selective Instrumentation.

Andreas Gocht, Alexander Grund, Robert Schöne

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2021

2020

Advanced Python Performance Monitoring with Score-P.

Andreas Gocht, Robert Schöne, Jan Frenzel

CoRR, 2020

2019

Using performance analysis tools for parallel-in-time integrators - Does my time-parallel code do what I think it does?

Robert Speck, Michael Knobloch, Andreas Gocht, Sebastian Lührs

CoRR, 2019

Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance.

Robert Schöne, Thomas Ilsche, Mario Bielert, Andreas Gocht, Daniel Hackenberg

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC.

Andreas Gocht, Robert Schöne, Mario Bielert

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

A New Approach for Automated Feature Selection.

Andreas Gocht, Christoph Lehmann, Robert Schöne

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

System Monitoring with lo2s: Power and Runtime Impact of C-State Transitions.

Thomas Ilsche, Robert Schöne, Philipp Joram, Mario Bielert, Andreas Gocht

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

The READEX formalism for automatic tuning for energy efficiency.

Joseph Schuchart, Michael Gerndt, Per Gunnar Kjeldsberg, Michael Lysaght, David Horák, Lubomír Ríha, Andreas Gocht, Mohammed Sourouri, Madhura Kumaraswamy, Anamika Chowdhury, Magnus Jahre, Kai Diethelm, Othman Bouizi, Umbreen Sabir Mian, Jakub Kruzík, Radim Sojka, Martin Beseda, Venkatesh Kannan, Zakaria Bendifallah, Daniel Hackenberg, Wolfgang E. Nagel

Computing, 2017

READEX: Linking two ends of the computing continuum to improve energy-efficiency in dynamic applications.

Per Gunnar Kjeldsberg, Andreas Gocht, Michael Gerndt, Lubomir Riha, Joseph Schuchart, Umbreen Sabir Mian

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

lo2s - Multi-core System and Application Performance Analysis for Linux.

Thomas Ilsche, Robert Schöne, Mario Bielert, Andreas Gocht, Daniel Hackenberg

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017