| Zipml: Training linear models with end-to-end low precision, and a little bit of deep learning H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang International Conference on Machine Learning, 4035-4043, 2017 | 135* | 2017 |
| FPGA-accelerated dense linear machine learning: A precision-convergence trade-off K Kara, D Alistarh, G Alonso, O Mutlu, C Zhang 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 56 | 2017 |
| Centaur: A framework for hybrid CPU-FPGA databases M Owaida, D Sidler, K Kara, G Alonso 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 52 | 2017 |
| doppiodb: A hardware accelerated database D Sidler, Z István, M Owaida, K Kara, G Alonso Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 46 | 2017 |
| FPGA-based Data Partitioning K Kara, J Giceva, G Alonso Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 44 | 2017 |
| ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation K Kara, K Eguro, C Zhang, G Alonso Proceedings of the VLDB Endowment 12 (4), 2018 | 21 | 2018 |
| Fast and robust hashing for database operators K Kara, G Alonso 2016 26th International Conference on Field Programmable Logic and …, 2016 | 21 | 2016 |
| Accelerating generalized linear models with MLWeaving: A one-size-fits-all system for any-precision learning Z Wang, K Kara, H Zhang, G Alonso, O Mutlu, C Zhang Proceedings of the VLDB Endowment 12 (7), 807-821, 2019 | 16 | 2019 |
| doppioDB 1.0: Machine Learning inside a Relational Engine. G Alonso, Z Istvan, K Kara, M Owaida, D Sidler IEEE Data Eng. Bull. 42 (2), 19-31, 2019 | 9 | 2019 |
| Compressive sensing using iterative hard thresholding with low precision data representation: Theory and applications NM Gürel, K Kara, A Stojanov, T Smith, T Lemmin, D Alistarh, M Püschel, ... IEEE Transactions on Signal Processing 68, 4268-4282, 2020 | 6* | 2020 |
| doppiodb 2.0: hardware techniques for improved integration of machine learning into databases K Kara, Z Wang, C Zhang, A Gustavo Proceedings of the VLDB Endowment 12 (12), 1818-1821, 2019 | 5 | 2019 |
| Layerwise systematic scan: Deep boltzmann machines and beyond H Guo, K Kara, C Zhang International Conference on Artificial Intelligence and Statistics, 178-187, 2018 | 3 | 2018 |
| Tackling Hardware/Software co-design from a database perspective G Alonso, T Roscoe, D Cock, M Owaida, K Kara, D Korolija, Z Wang Proceedings of the 6th biennial Conference on Innovative Data Systems …, 2020 | 2 | 2020 |
| Speeding Up Percolator JT Halloran, H Zhang, K Kara, C Renggli, M The, C Zhang, DM Rocke, ... Journal of proteome research 18 (9), 3353-3359, 2019 | 2 | 2019 |
| High Bandwidth Memory on FPGAs: A Data Analytics Perspective K Kara, C Hagleitner, D Diamantopoulos, D Syrivelis, G Alonso 2020 30th International Conference on Field-Programmable Logic and …, 2020 | 1 | 2020 |
| PipeArch: Generic and Context-Switch Capable Data Processing on FPGAs K Kara, G Alonso ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (1), 1-28, 2020 | | 2020 |
| FPGA-Accelerated Analytics: From Single Nodes to Clusters Z István, K Kara, D Sidler Foundations and Trends® in Databases 9 (2), 101-208, 2020 | | 2020 |
| HyperLogLog Sketch Acceleration on FPGA A Kulkarni, M Chiosa, TB Preußer, K Kara, D Sidler, G Alonso 2020 30th International Conference on Field-Programmable Logic and …, 2020 | | 2020 |
| Specialized Hardware Solutions for In-Database Analytics and Machine Learning K Kara ETH Zurich, 2020 | | 2020 |
Gustavo AlonsoProfessor of Computer Science, ETH Zürich, SwitzerlandVerified email at inf.ethz.ch
