| Methods, systems, and computer program products for network firewall policy optimization EW Fulp, SJ Tarsa US Patent 8,042,167, 2011 | 129 | 2011 |
| Network firewall policy tries E Fulp, SJ Tarsa Technical Report, Computer Science Department, Wake Forest University, 2004 | 76 | 2004 |
| Measuring diversity on a low-altitude UAV in a ground-to-air wireless 802.11 mesh network HT Kung, CK Lin, TH Lin, SJ Tarsa, D Vlah GLOBECOM Workshops (GC Wkshps), 2010 IEEE, 1799-1804, 2010 | 68 | 2010 |
| Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks SJ Tarsa, CK Lin, G Keskin, G Chinya, H Wang ISCA Workshop on AI Assisted Design for Architecture (AIDArc) 2, 2019 | 36 | 2019 |
| Branch Prediction Is Not a Solved Problem: Measurements, Opportunities, and Future Directions CK Lin, SJ Tarsa 2019 IEEE International Symposium on Workload Characterization (IISWC)3-5 …, 2019 | 30 | 2019 |
| Post-silicon CPU Adaptation Made Practical Using Machine Learning SJ Tarsa, RBR Chowdhury, J Sebot, G Chinya, J Gaur, ... ACM Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 28 | 2019 |
| Trie-based policy representations for network firewalls EW Fulp, SJ Tarsa 10th IEEE Symposium on Computers and Communications (ISCC'05), 434-441, 2005 | 27 | 2005 |
| Partitioned compressive sensing with neighbor-weighted decoding HT Kung, SJ Tarsa 2011-MILCOM 2011 Military Communications Conference, 149-156, 2011 | 21 | 2011 |
| Workload prediction for adaptive power scaling using deep learning SJ Tarsa, AP Kumar, HT Kung 2014 IEEE International Conference on IC Design & Technology, 1-5, 2014 | 20 | 2014 |
| A location-dependent runs-and-gaps model for predicting TCP performance over a UAV wireless channel HT Kung, CK Lin, TH Lin, SJ Tarsa, D Vlah, D Hague, M Muccio, B Poland, ... MILITARY COMMUNICATIONS CONFERENCE, 2010-MILCOM 2010, 635-643, 2010 | 15 | 2010 |
| Achieving high throughput ground-to-UAV transport via parallel links CK Lin, HT Kung, TH Lin, SJ Tarsa, D Vlah 2011 Proceedings of 20th International Conference on Computer Communications …, 2011 | 14 | 2011 |
| Balancing trie-based policy representations for network firewalls SJ Tarsa, EW Fulp 11th IEEE Symposium on Computers and Communications (ISCC'06), 755-760, 2006 | 14 | 2006 |
| Supporting learned branch predictors G Keskin, SJ Tarsa, GN Chinya, TH Lin, PH Wang, H Wang US Patent 10,534,613, 2020 | 10 | 2020 |
| Runtime processor optimization SJ Tarsa, GN Chinya, G Keskin, H Wang, K Sankaranarayanan US Patent App. 15/444,390, 2018 | 10 | 2018 |
| Taming wireless fluctuations by predictive queuing using a sparse-coding link-state model SJ Tarsa, M Comiter, MB Crouse, B McDanel, HT Kung Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc …, 2015 | 8 | 2015 |
| Performance gains in conjugate gradient computation with linearly connected gpu multiprocessors S Tarsa, TH Lin, H Kung USENIX HotPar 12, 2012 | 8 | 2012 |
| Network firewall policy representation using ordered sets and tries EW Fulp, SJ Tarsa Proceedings of the IEEE International Symposium on Computer Communications …, 2005 | 5 | 2005 |
| Carotid endarterectomy surgeon volumes in contemporary practice: A comparison to randomized trial inclusion criteria MD Breite, CN Breite, WW Sheaffer, IY Soh, VJ Davila, SR Money, ... The American Journal of Surgery 222 (1), 241-244, 2021 | 4 | 2021 |
| Predictor for hard-to-predict branches SJ Tarsa, G Keskin, GN Chinya, H Wang US Patent App. 15/637,562, 2019 | 4 | 2019 |
| Machine learning for machines: Data-driven performance tuning at runtime using sparse coding SJ Tarsa Harvard University, 2015 | 4 | 2015 |
H. T. KungProfessor, Harvard UniversityVerified email at harvard.edu
