| Time series mining at petascale performance A Raoofy, R Karlstetter, D Yang, C Trinitis, M Schulz High Performance Computing: 35th International Conference, ISC High …, 2020 | 9 | 2020 |
| Turning dynamic sensor measurements from gas turbines into insights: a big data approach R Karlstetter, R Widhopf-Fenk, J Hermann, D Rouwenhorst, A Raoofy, ... Turbo Expo: Power for Land, Sea, and Air 58677, V006T05A021, 2019 | 8 | 2019 |
| Benchmarking and feasibility aspects of machine learning in space systems A Raoofy, G Dax, V Serra, M Ghiglione, M Werner, C Trinitis Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 7 | 2022 |
| A parallel arbitrary-order accurate AMR algorithm for the scalar advection-diffusion equation A Bakhtiari, D Malhotra, A Raoofy, M Mehl, HJ Bungartz, G Biros SC'16: Proceedings of the International Conference for High Performance …, 2016 | 7 | 2016 |
| Machine learning application benchmark for in-orbit on-board data processing M Ghiglione, A Raoofy, G Dax, G Furano, R Wiest, C Trinitis, M Werner, ... European Workshop on On-Board Data Processing, 2021 | 5 | 2021 |
| Living on the edge: efficient handling of large scale sensor data R Karlstetter, A Raoofy, M Radev, C Trinitis, J Hermann, M Schulz 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 4 | 2021 |
| Exploiting reduced precision for GPU-based Time series mining Y Ju, A Raoofy, D Yang, E Laure, M Schulz 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 2 | 2022 |
| Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining A Raoofy, R Karlstetter, M Schreiber, C Trinitis, M Schulz International Conference on High Performance Computing, 317-338, 2023 | 1 | 2023 |
| Machine learning application benchmark A Koch, M Petry, M Ghiglione, A Raoofy, G Dax, G Furano, M Werner, ... Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 1 | 2023 |
| Always-on instrumentation for application introspection in HPC A Raoofy, J Weidendorfer, M Ott Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 1 | 2022 |
| Survey of Frameworks for inference of Neural Networks in Space Data Systems M Ghiglione, V Serra, A Raoofy, G Dax, C Trinitis, M Werner, M Schulz, ... Data Systems in Aerospace (DASIA). Eurospace, 2022 | 1 | 2022 |
| Benchmarking Machine Learning Inference in FPGA-based Accelerated Space Applications A Raoofy, G Dax, M Ghiglione, M Langer, C Trinitis, M Werner, M Schulz Proceedings of the Workshop on Benchmarking Machine Learning Workloads co …, 2021 | 1 | 2021 |
| Enabling Malleability for Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics using LAIK A Raoofy, D Yang, J Weidendorfer, C Trinitis, M Schulz Gesellschaft für Informatik eV, Fachgruppe PARS, 2020 | 1 | 2020 |
| BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators A Raoofy, B Elis, V Bode, MT Chung, S Breiter, M Schlemon, DF Herr, ... Journal of Computational Science 15 (1), 2024 | | 2024 |
| Sustainability in HPC: Vision and Opportunities M Chadha, E Arima, A Raoofy, M Gerndt, M Schulz Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
| Phase-aware System-Side Sampling for HPC J Scheipl, A Raoofy, M Ott, J Weidendorfer CF '23: Proceedings of the 20th ACM International Conference on Computing …, 2023 | | 2023 |
| Reference Implementations for Machine Learning Application Benchmark A Koch, G Dax, M Petry, H Gomez, A Raoofy, U Saroliya, M Ghiglione, ... First European Data Handling & Data Processing Conference – EDHPC 2023, 2023 | | 2023 |
| Design and Implementation of a Semi-Implicit Solver for the Simulation of Overland Flows on High Performance Computers A Raoofy Technical University of Munich, 2017 | | 2017 |
