Publications

Found 2 results
Filters: Autor is Thorsten Reimann  [Clear All Filters]
2021
M. Ritter, Geiß, A., Wehrstein, J., Calotoiu, A., Reimann, T., Hoefler, T., und Wolf, F., „Noise-Resilient Empirical Performance Modeling with Deep Neural Networks“, in Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021, S. 23-34.
2020
M. Ritter, Calotoiu, A., Rinke, S., Reimann, T., Hoefler, T., und Wolf, F., „Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling“, in Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020, S. 884-895.