| Predicting faults in high performance computing systems: An in-depth survey of the state-of-the-practice D Jauk, D Yang, M Schulz Proceedings of the International Conference for High Performance Computing …, 2019 | 43 | 2019 |
| QMPI: A next generation MPI profiling interface for modern HPC platforms B Elis, D Yang, M Schulz Proceedings of the 26th European MPI Users' Group Meeting, 1-10, 2019 | 18 | 2019 |
| Reducing false node failure predictions in HPC A Frank, D Yang, A Brinkmann, M Schulz, T Süss 2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019 | 17 | 2019 |
| 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 |
| Laik: A library for fault tolerant distribution of global data for parallel applications J Weidendorfer, CT Dai Yang Konferenzband des PARS'17 Workshops, 10, 2017 | 7 | 2017 |
| The MPI Tool Interfaces: Past, Present, and Future—Capabilities and Prospects M Schulz, MA Hermanns, M Knobloch, K Mohror, NT Hjelm, B Elis, ... Tools for High Performance Computing 2018/2019: Proceedings of the 12th and …, 2021 | 3 | 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 |
| Cache-aware matrix polynomials D Huber, M Schreiber, D Yang, M Schulz Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
| Co-Scheduling in a Task-Based Programming Model T Becker, D Yang, T Küstner, M Schulz Proceedings of the 3rd Workshop on Co-Scheduling of HPC Applications (COSH 2018), 2018 | 2 | 2018 |
| Enabling Application-Integrated Proactive Fault Tolerance D Yang, J Weidendorfer, C Trinitis, T Küstner, S Ziegler Parallel Computing is Everywhere, 475-484, 2018 | 1 | 2018 |
| Fault Tolerant Optimizations for High Performance Computing Systems D Yang Technische Universität München, 2020 | | 2020 |
| Symptom-based Fault Detection in Modern Computer Systems T Becker, N Rudolf, D Yang, W Karl Gesellschaft für Informatik eV, Fachgruppe PARS, 2020 | | 2020 |
| Exploring High Bandwidth Memory for PET Image Reconstruction D Yang, T Küstner, R Al-Rihawi, M Schulz Parallel Computing: Technology Trends, 219-228, 2020 | | 2020 |
| Proceeding of the 3rd Seminar on HPC Systems: Current Trends and Developments K Fuerlinger, C Trinitis, J Weidendorfer, D Yang Institution: TUM University Library, 0 | | |
Martin SchulzTechnical University of Munich在 in.tum.de 的电子邮件经过验证
