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Marcus Ritter, Benedict Naumann, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf: Cost-Effective Empirical Performance Modeling. Transactions on Parallel and Distributed Systems, 37: 575–592, February 2026.
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Alexander Geiß, Téodora Hovi, Alexandru Calotoiu, Felix Wolf: Validating the Performance of GPU Ports Using Differential Performance Models. Future Generation Computer Systems, 174: 1–17, January 2026.
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Alexandru Calotoiu, Marcin Copik, Fabian Czappa, Alexander Geiß, Gustavo Morais, Marcus Ritter, Sergei Shudler, Torsten Hoefler, Felix Wolf: Extra-P – Empirical Performance Modeling Made Easy. Frontiers in High Performance Computing, 3–2025, 2026.
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Tim Beringer, Jakob Stock, Arya Mazaheri, Felix Wolf: Dissecting Convolutional Neural Networks for Runtime and Scalability Prediction. In Proc. of the 53st International Conference on Parallel Processing (ICPP), Gotland, Sweden, pages 168–178, ACM, August 2024.
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Marcus Ritter, Felix Wolf: Extra-Deep: Automated Empirical Performance Modeling for Distributed Deep Learning. In Proc. of the Workshop on Programming and Performance Visualization Tools (ProTools), held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23), Denver, CO, USA, pages 1345–1356, ACM, November 2023.
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Marcus Ritter, Ahmad Tarraf, Alexander Geiß, Nour Daoud, Bernd Mohr, Felix Wolf: Conquering Noise With Hardware Counters on HPC Systems. In Proc. of the Workshop on Programming and Performance Visualization Tools (ProTools), held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Dallas, TX, USA, pages 1–10, IEEE, 2022.
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Fabian Czappa, Alexandru Calotoiu, Thomas Höhl, Heiko Mantel, Toni Nguyen, Felix Wolf: Design-Time Performance Modeling of Compositional Parallel Programs. Parallel Computing, 108: 1–12, September 2021.
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Marcus Ritter, Alexander Geiß, Johannes Wehrstein, Alexandru Calotoiu, Thorsten Reimann, Torsten Hoefler, Felix Wolf: Noise-Resilient Empirical Performance Modeling with Deep Neural Networks. In Proc. of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Portland, Oregon, USA, pages 23–34, IEEE, May 2021.
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Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler: Extracting Clean Performance Models from Tainted Programs. In Proc. of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Seoul, South Korea, pages 403–417, ACM, February 2021.
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Marcus Ritter, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf: Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. In Proc. of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, pages 884–895, IEEE, May 2020.
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Alexandru Calotoiu, Alexander Graf, Torsten Hoefler, Daniel Lorenz, Sebastian Rinke, Felix Wolf: Lightweight Requirements Engineering for Exascale Co-design. In Proc. of the 2018 IEEE International Conference on Cluster Computing (CLUSTER), Belfast, UK, pages 201–211, IEEE, September 2018.
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Sergei Shudler, Alexandru Calotoiu, Torsten Hoefler, Felix Wolf: Isoefficiency in Practice: Configuring and Understanding the Performance of Task-based Applications. In Proc. of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Austin, TX, USA, pages 131–143, ACM, February 2017.
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Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf: Fast Multi-Parameter Performance Modeling. In Proc. of the 2016 IEEE International Conference on Cluster Computing (CLUSTER), Taipei, Taiwan, pages 172–181, IEEE, September 2016.
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Sergei Shudler, Alexandru Calotoiu, Torsten Hoefler, Alexandre Strube, Felix Wolf: Exascaling Your Library: Will Your Implementation Meet Your Expectations?. In Proc. of the International Conference on Supercomputing (ICS), Newport Beach, CA, USA, pages 165–175, ACM, June 2015.
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