| Aerie: Flexible file-system interfaces to storage-class memory H Volos, S Nalli, S Panneerselvam, V Varadarajan, P Saxena, MM Swift Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014 | 207 | 2014 |
| Resource-freeing attacks: improve your cloud performance (at your neighbor's expense) V Varadarajan, T Kooburat, B Farley, T Ristenpart, MM Swift Proceedings of the 2012 ACM conference on Computer and communications …, 2012 | 197 | 2012 |
| More for your money: exploiting performance heterogeneity in public clouds B Farley, A Juels, V Varadarajan, T Ristenpart, KD Bowers, MM Swift Proceedings of the Third ACM Symposium on Cloud Computing, 1-14, 2012 | 193 | 2012 |
| Scheduler-based Defenses against Cross-VM Side-channels V Varadarajan, T Ristenpart, M Swift 23rd USENIX Security Symposium (USENIX Security 14), 2014 | 163 | 2014 |
| A Placement Vulnerability Study in Multi-tenant Public Clouds V Varadarajan, Y Zhang, T Ristenpart, M Swift 24th USENIX Security Symposium, 913--928, 2015 | 160 | 2015 |
| A many-core architecture for in-memory data processing SR Agrawal, S Idicula, A Raghavan, E Vlachos, V Govindaraju, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 34 | 2017 |
| Determining instances to maintain on at least one cloud responsive to an evaluation of performance characteristics A Juels, KD Bowers, B Farley, V Varadarajan, T Ristenpart, MM Swift US Patent 9,128,739, 2015 | 20 | 2015 |
| Game theoretic resistance to denial of service attacks using hidden difficulty puzzles H Narasimhan, V Varadarajan, CP Rangan International Conference on Information Security Practice and Experience …, 2010 | 14 | 2010 |
| Rapid: In-memory analytical query processing engine with extreme performance per watt C Balkesen, N Kunal, G Giannikis, P Fender, S Sundara, F Schmidt, ... Proceedings of the 2018 International Conference on Management of Data, 1407 …, 2018 | 10 | 2018 |
| Towards a Cooperative Defense Model Against Network Security Attacks. H Narasimhan, V Varadarajan, CP Rangan WEIS, 2010 | 9 | 2010 |
| Using meta-learning for automatic gradient-based hyperparameter optimization for machine learning and deep learning models V Varadarajan, S Agrawal, S Idicula, N Agarwal US Patent App. 15/914,883, 2019 | 4 | 2019 |
| Cryptographic approaches to denial-of-service resistance C Boyd, J Gonzalez-Nieto, L Kuppusamy, H Narasimhan, CP Rangan, ... An Investigation into the Detection and Mitigation of Denial of Service (DoS …, 2011 | 4 | 2011 |
| Big Data Processing: Scalability with Extreme Single-Node Performance V Govindaraju, S Idicula, S Agrawal, V Varadarajan, A Raghavan, J Wen, ... IEEE International Congress on Big Data, 2017 | 3 | 2017 |
| Oracle automl: a fast and predictive automl pipeline A Yakovlev, HF Moghadam, A Moharrer, J Cai, N Chavoshi, ... Proceedings of the VLDB Endowment 13 (12), 3166-3180, 2020 | 2 | 2020 |
| Efficient parallel algorithm for integral image computation for many-core CPUs V Varadarajan, A Raghavan, S Idicula, N Agarwal US Patent 10,529,049, 2020 | 2 | 2020 |
| Algorithm-specific neural network architectures for automatic machine learning model selection S Agrawal, S Idicula, V Varadarajan, N Agarwal US Patent App. 15/884,163, 2019 | 2 | 2019 |
| Isolation in public clouds: Threats, challenges and defenses V Varadarajan The University of Wisconsin-Madison, 2015 | 2 | 2015 |
| A reconfigurable hardware to accelerate directory search SKR Venkatanathan Varadarajan, A Nedunchezhian, R Parthasarathi | 2 | 2009 |
| Gradient-based auto-tuning for machine learning and deep learning models V Varadarajan, S Idicula, S Agrawal, N Agarwal US Patent App. 15/885,515, 2019 | 1 | 2019 |
| Using Metamodeling for Fast and Accurate Hyperparameter optimization of Machine Learning and Deep Learning Models A Moharrer, V Varadarajan, S Idicula, S Agrawal, N Agarwal US Patent App. 16/426,530, 2020 | | 2020 |
Michael SwiftProfessor of Computer Science, University of Wisconsin--MadisonVerified email at cs.wisc.edu
