| The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey J Vatter, R Mayer, HA Jacobsen ACM Computing Surveys 56 (1), 1-37, 2023 | 1638 | 2023 |
| Scalable deep learning on distributed infrastructures: Challenges, techniques, and tools R Mayer, HA Jacobsen ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020 | 318 | 2020 |
| Emufog: Extensible and scalable emulation of large-scale fog computing infrastructures R Mayer, L Graser, H Gupta, E Saurez, U Ramachandran 2017 IEEE Fog World Congress (FWC), 1-6, 2017 | 199 | 2017 |
| A comprehensive survey on parallelization and elasticity in stream processing H Röger, R Mayer ACM Computing Surveys (CSUR) 52 (2), 1-37, 2019 | 159 | 2019 |
| Predictable low-latency event detection with parallel complex event processing R Mayer, B Koldehofe, K Rothermel IEEE Internet of Things Journal 2 (4), 274-286, 2015 | 137 | 2015 |
| Why do my blockchain transactions fail? a study of hyperledger fabric JA Chacko, R Mayer, HA Jacobsen Proceedings of the 2021 international conference on management of data, 221-234, 2021 | 115 | 2021 |
| Fogstore: Toward a distributed data store for fog computing R Mayer, H Gupta, E Saurez, U Ramachandran 2017 IEEE Fog World Congress (FWC), 1-6, 2017 | 99 | 2017 |
| Adwise: Adaptive window-based streaming edge partitioning for high-speed graph processing C Mayer, R Mayer, MA Tariq, H Geppert, L Laich, L Rieger, K Rothermel 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 78 | 2018 |
| The tensorflow partitioning and scheduling problem: it's the critical path! R Mayer, C Mayer, L Laich Proceedings of the 1st Workshop on Distributed Infrastructures for Deep …, 2017 | 64 | 2017 |
| FabricCRDT: A conflict-free replicated datatypes approach to permissioned blockchains P Nasirifard, R Mayer, HA Jacobsen Proceedings of the 20th International Middleware Conference, 110-122, 2019 | 60 | 2019 |
| A survey on efficient federated learning methods for foundation model training H Woisetschläger, A Isenko, S Wang, R Mayer, HA Jacobsen In Proceedings of the Thirty-Third International Joint Conference on …, 2024 | 53 | 2024 |
| P4CEP: Towards in-network complex event processing T Kohler, R Mayer, F Dürr, M Maaß, S Bhowmik, K Rothermel Proceedings of the 2018 Morning Workshop on In-Network Computing, 33-38, 2018 | 53 | 2018 |
| Rollback-recovery without checkpoints in distributed event processing systems B Koldehofe, R Mayer, U Ramachandran, K Rothermel, M Völz Proceedings of the 7th ACM international conference on Distributed event …, 2013 | 53 | 2013 |
| A survey on dataset distillation: Approaches, applications and future directions J Geng, Z Chen, Y Wang, H Woisetschlaeger, S Schimmler, R Mayer, ... Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 48* | 2023 |
| Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines A Isenko, R Mayer, J Jedele, HA Jacobsen Proceedings of the 2022 International Conference on Management of Data …, 2022 | 46 | 2022 |
| Federated fine-tuning of llms on the very edge: The good, the bad, the ugly H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024 | 43 | 2024 |
| Hybrid edge partitioner: Partitioning large power-law graphs under memory constraints R Mayer, HA Jacobsen Proceedings of the 2021 International Conference on Management of Data, 1289 …, 2021 | 42 | 2021 |
| Graphcep: Real-time data analytics using parallel complex event and graph processing R Mayer, C Mayer, MA Tariq, K Rothermel Proceedings of the 10th ACM International Conference on Distributed and …, 2016 | 42 | 2016 |
| Streamlearner: Distributed incremental machine learning on event streams: Grand challenge C Mayer, R Mayer, M Abdo Proceedings of the 11th ACM International Conference on Distributed and …, 2017 | 38 | 2017 |
| Minimizing communication overhead in window-based parallel complex event processing R Mayer, MA Tariq, K Rothermel Proceedings of the 11th ACM International Conference on Distributed and …, 2017 | 38 | 2017 |
Hans-Arno JacobsenProfessor of Computer Engineering and Computer ScienceVerified email at eecg.toronto.edu
