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 | 204* | 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 | 87 | 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 | 81 | 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 | 72 | 2017 |
FPGA-based Data Partitioning K Kara, J Giceva, G Alonso Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 69 | 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 | 43 | 2018 |
Fast and robust hashing for database operators K Kara, G Alonso 2016 26th International Conference on Field Programmable Logic and …, 2016 | 38 | 2016 |
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 | 34 | 2020 |
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 | 27 | 2019 |
Tackling Hardware/Software co-design from a database perspective G Alonso, T Roscoe, D Cock, M Ewaida, K Kara, D Korolija, D Sidler, ... 10th Annual Conference on Innovative Data Systems Research (CIDR 2020 …, 2020 | 24 | 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 | 18 | 2020 |
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 | 17 | 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 | 12* | 2020 |
doppioDB 2.0: hardware techniques for improved integration of machine learning into databases K Kara, Z Wang, C Zhang, G Alonso Proceedings of the VLDB Endowment 12 (12), 1818-1821, 2019 | 12 | 2019 |
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 | 7 | 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 | 5 | 2018 |
Exploiting hbm on fpgas for data processing R Shi, K Kara, C Hagleitner, D Diamantopoulos, D Syrivelis, G Alonso ACM Transactions on Reconfigurable Technology and Systems 15 (4), 1-27, 2022 | 2 | 2022 |
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 | 2 | 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 | 2 | 2020 |
Column data driven arithmetic expression evaluation K Kara, KH Eguro, H Yu, C Varde, BD Pelton US Patent 11,507,371, 2022 | 1 | 2022 |