| Helgrind+: an efficient dynamic race detector A Jannesari, K Bao, V Pankratius, WF Tichy 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-13, 2009 | 101 | 2009 |
| Software engineering for multicore systems: an experience report V Pankratius, C Schaefer, A Jannesari, WF Tichy Proceedings of the 1st international workshop on Multicore software …, 2008 | 97 | 2008 |
| Parallelizing bzip2: A case study in multicore software engineering V Pankratius, A Jannesari, WF Tichy IEEE software 26 (6), 2009 | 69 | 2009 |
| Topology-aware network pruning using multi-stage graph embedding and reinforcement learning S Yu, A Mazaheri, A Jannesari International conference on machine learning, 25656-25667, 2022 | 58 | 2022 |
| Auto Graph Encoder-Decoder for Neural Network Pruning S Yu, A Mazaheri, A Jannesari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55* | 2021 |
| Efficient Object Detection Model for Real-Time UAV Applications S Vaddi, C Kumar, A Jannesari arXiv preprint arXiv:1906.00786, 2019, 2019 | 53 | 2019 |
| On-the-fly race detection in multi-threaded programs A Jannesari, WF Tichy Proceedings of the 6th workshop on Parallel and distributed systems: testing …, 2008 | 52 | 2008 |
| Predictive modeling for occupational safety outcomes and days away from work analysis in mining operations A Yedla, FD Kakhki, A Jannesari International journal of environmental research and public health 17 (19), 7054, 2020 | 51 | 2020 |
| Discovery of potential parallelism in sequential programs Z Li, A Jannesari, F Wolf 2013 42nd International Conference on Parallel Processing, 1004-1013, 2013 | 50 | 2013 |
| Heterogeneous federated learning using dynamic model pruning and adaptive gradient S Yu, P Nguyen, A Anwar, A Jannesari 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 47* | 2023 |
| Federated foundation models: Privacy-preserving and collaborative learning for large models S Yu, JP Muñoz, A Jannesari arXiv preprint arXiv:2305.11414, 2023 | 45 | 2023 |
| A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance J Roghair, A Niaraki, K Ko, A Jannesari Intelligent Systems and Applications 294 (LNNS), 115--128, 2021 | 44 | 2021 |
| Unveiling parallelization opportunities in sequential programs Z Li, R Atre, Z Huda, A Jannesari, F Wolf Journal of Systems and Software 117, 282-295, 2016 | 43 | 2016 |
| An efficient data-dependence profiler for sequential and parallel programs Z Li, A Jannesari, F Wolf 2015 IEEE International Parallel and Distributed Processing Symposium, 484-493, 2015 | 43 | 2015 |
| Identifying ad-hoc synchronization for enhanced race detection A Jannesari, WF Tichy 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 43 | 2010 |
| DiscoPoP: A profiling tool to identify parallelization opportunities Z Li, R Atre, Z Ul-Huda, A Jannesari, F Wolf Tools for High Performance Computing 2014: Proceedings of the 8th …, 2015 | 36 | 2015 |
| Static neural compiler optimization via deep reinforcement learning R Mammadli, A Jannesari, F Wolf 2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM …, 2020 | 35 | 2020 |
| Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion DP Nguyen, S Yu, JP Muñoz, A Jannesari Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 32* | 2023 |
| Automatic construct selection and variable classification in OpenMP M Norouzi, F Wolf, A Jannesari Proceedings of the ACM International Conference on Supercomputing, 330-341, 2019 | 32 | 2019 |
| Using template matching to infer parallel design patterns ZU Huda, A Jannesari, F Wolf ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-21, 2015 | 30 | 2015 |
Felix WolfProfessor of Computer Science, TU DarmstadtVerified email at tu-darmstadt.de
