| On the Impact of Memory Allocation on High-Performance Query Processing D Durner, V Leis, T Neumann 15th International Workshop on Data Management on New Hardware, 21:1-21:3, 2019 | 34 | 2019 |
| JSON tiles: Fast analytics on semi-structured data D Durner, V Leis, T Neumann Proceedings of the 2021 International Conference on Management of Data, 445-458, 2021 | 33 | 2021 |
| Crystal: a unified cache storage system for analytical databases D Durner, B Chandramouli, Y Li Proceedings of the VLDB Endowment 14 (11), 2432-2444, 2021 | 19 | 2021 |
| No False Negatives: Accepting All Useful Schedules in a Fast Serializable Many-Core System D Durner, T Neumann 2019 IEEE 35th International Conference on Data Engineering (ICDE), 734-745, 2019 | 16 | 2019 |
| Exploiting Cloud Object Storage for High-Performance Analytics D Durner, V Leis, T Neumann Proceedings of the VLDB Endowment 16 (11), 2769-2782, 2023 | 2 | 2023 |
| Iterative evaluation of data through SIMD processor registers M Goergens, D Durner US Patent 10,691,691, 2020 | 2 | 2020 |
| TracEx: Understanding and Analyzing Database Traces D Durner, L Espe, J Giceva, A Gruenheid CIDR, 2024 | 1 | 2024 |
| Loading data for iterative evaluation through SIMD registers M Goergens, D Durner US Patent 10,162,603, 2018 | 1 | 2018 |
| High-Performance Query Processing in the Cloud D Durner | | 2024 |
| Experimental Study of Memory Allocation for High-Performance Query Processing D Durner, V Leis, N Thomas 10th International Workshop on Accelerating Analytics and Data Management …, 2019 | | 2019 |
Thomas NeumannProfessor, Technische Universität MünchenVerified email at in.tum.de
