| The SAP HANA Database--An Architecture Overview. F Färber, N May, W Lehner, P Große, I Müller, H Rauhe, J Dees IEEE Data Eng. Bull. 35 (1), 28-33, 2012 | 367 | 2012 |
| Vectorizing Database Column Scans with Complex Predicates. T Willhalm, I Oukid, I Müller, F Faerber ADMS@ VLDB, 1-12, 2013 | 91 | 2013 |
| Distributed join algorithms on thousands of cores C Barthels, I Müller, T Schneider, G Alonso, T Hoefler Proceedings of the VLDB Endowment 10 (5), 517-528, 2017 | 86 | 2017 |
| Cache-efficient aggregation: Hashing is sorting I Müller, P Sanders, A Lacurie, W Lehner, F Färber Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 67 | 2015 |
| Adaptive dictionary compression/decompression for column-store databases I Mueller, C Ratsch, P Sanders, F Faerber US Patent 10,235,377, 2019 | 63 | 2019 |
| Lambada: Interactive data analytics on cold data using serverless cloud infrastructure I Müller, R Marroquín, G Alonso Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 55 | 2020 |
| Adaptive String Dictionary Compression in In-Memory Column-Store Database Systems I Müller, C Ratsch, F Faerber 17th International Conference on Extending Database Technology (EDBT) – 2014 …, 2014 | 54 | 2014 |
| Aggregation in parallel computation environments with shared memory F Transier, C Mathis, N Bohnsack, K Stammerjohann, P Sanders, I Müller EP Patent EP2469423 A1, 2012 | 43 | 2012 |
| Communication Efficient Algorithms for Fundamental Big Data Problems P Sanders, S Schlag, I Müller IEEE BigData Conference, 15-23, 2013 | 36 | 2013 |
| Hash table and radix sort based aggregation IT Müller, P Sanders US Patent 9,213,732, 2015 | 25 | 2015 |
| Retrieval and perfect hashing using fingerprinting I Müller, P Sanders, R Schulze, W Zhou International Symposium on Experimental Algorithms, 138-149, 2014 | 18 | 2014 |
| Boxer: Data Analytics on Network-enabled Serverless Platforms M Wawrzoniak, I Müller, R Fraga Barcelos Paulus Bruno, G Alonso 11th Annual Conference on Innovative Data Systems Research (CIDR 2021), 2021 | 11 | 2021 |
| Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution R Marroquín, I Müller, D Makreshanski, G Alonso Proceedings of the ACM Symposium on Cloud Computing (SoCC), 2018 | 11 | 2018 |
| Engineering Aggregation Operators for Relational In-Memory Database Systems I Müller Karlsruhe Institute of Technology, 2016 | 9 | 2016 |
| Strong consistency is not hard to get: Two-Phase Locking and Two-Phase Commit on Thousands of Cores C Barthels, I Müller, K Taranov, G Alonso, T Hoefler Proceedings of the VLDB Endowment 12 (13), 2325-2338, 2019 | 8 | 2019 |
| Aggregating database entries by hashing G Gaumnitz, A Lacurie, I Mueller, J Dees US Patent 10,055,480, 2018 | 8 | 2018 |
| Reproducible Floating-Point Aggregation in RDBMSs GA Ingo Müller, Andrea Arteaga, Torsten Hoefler 34th IEEE International Conference on Data Engineering (ICDE), 1049--1060, 2018 | 8 | 2018 |
| Reproducible Floating-Point Aggregation in RDBMSs [extended version] I Müller, A Arteaga, T Hoefler, G Alonso arXiv preprint arXiv:1802.09883, 2018 | 8* | 2018 |
| Memory-constrained aggregation using intra-operator pipelining I Mueller, A Lacurie US Patent 10,114,866, 2018 | 7 | 2018 |
| Serverless Clusters: The Missing Piece for Interactive Batch Applications? I Müller, RFBP Bruno, A Klimovic, G Alonso, J Wilkes, E Sedlar 10th Workshop on Systems for Post-Moore Architectures (SPMA 2020), 2020 | 6 | 2020 |
Gustavo AlonsoProfessor of Computer Science, ETH Zürich, SwitzerlandVerified email at inf.ethz.ch
