Publications
Found 9 results
Filters: Autor is Alexandru Calotoiu [Clear All Filters]
„Design-Time Performance Modeling of Compositional Parallel Programs“, Parallel Computing, Bd. 108, S. 1-12, 2021.
, „Extracting Clean Performance Models from Tainted Programs“, in Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2021, S. 403-417.
, „Influence of Noisy Environments on Behavior of HPC Applications“, Lobachevskii Journal of Mathematics, Bd. 42, S. 1560-1570, 2021.
, „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.
, „Empirical Modeling of Spatially Diverging Performance“, in Proceedings the 2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and Workshop on Programming and Performance Visualization Tools (ProTools), 2020, S. 71-80.
, „ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications“, Software for Exascale Computing - SPPEXA 2016-2019, LNCSE 136. Springer, S. 453-482, 2020.
, „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.
, „Automatic Instrumentation Refinement for Empirical Performance Modeling“, in Proceedings of the 2019 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools), 2019, S. 40-47.
, „Designing Efficient Parallel Software via Compositional Performance Modeling“, in Proceedings of the Workshop on Programming and Performance Visualization Tools (ProTools), 2019, S. 17-24.
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