GPU scheduling on the NVIDIA TX2: Hidden details revealed T Amert, N Otterness, M Yang, JH Anderson, FD Smith 2017 IEEE Real-Time Systems Symposium (RTSS), 104-115, 2017 | 229 | 2017 |
An evaluation of the NVIDIA TX1 for supporting real-time computer-vision workloads N Otterness, M Yang, S Rust, E Park, JH Anderson, FD Smith, A Berg, ... 2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2017 | 164 | 2017 |
No-execute-after-read: Preventing code disclosure in commodity software J Werner, G Baltas, R Dallara, N Otterness, KZ Snow, F Monrose, ... Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016 | 89 | 2016 |
Methods, systems, and computer readable media for detecting malicious network traffic TP Taylor, KZ Snow, NM Otterness, FN Monrose US Patent 9,992,217, 2018 | 74 | 2018 |
AMD GPUs as an alternative to NVIDIA for supporting real-time workloads N Otterness, JH Anderson 32nd Euromicro conference on real-time systems (ECRTS 2020), 2020 | 63 | 2020 |
Reconciling the tension between hardware isolation and data sharing in mixed-criticality, multicore systems M Chisholm, N Kim, BC Ward, N Otterness, JH Anderson, FD Smith 2016 IEEE Real-Time Systems Symposium (RTSS), 57-68, 2016 | 59 | 2016 |
Making openvx really" real time" M Yang, T Amert, K Yang, N Otterness, JH Anderson, FD Smith, S Wang 2018 IEEE Real-Time Systems Symposium (RTSS), 80-93, 2018 | 48 | 2018 |
Exploring AMD GPU scheduling details by experimenting with “worst practices” N Otterness, JH Anderson Proceedings of the 29th International Conference on Real-Time Networks and …, 2021 | 37 | 2021 |
Supporting I/O and IPC via fine-grained OS isolation for mixed-criticality real-time tasks N Kim, S Tang, N Otterness, JH Anderson, FD Smith, DE Porter Proceedings of the 26th international conference on real-time networks and …, 2018 | 33 | 2018 |
Inferring the scheduling policies of an embedded CUDA GPU N Otterness, M Yang, T Amert, J Anderson, FD Smith OSPERT’17, 2017 | 31 | 2017 |
Check My Profile: Leveraging Static Analysis for Fast and Accurate Detection of ROP Gadgets B Stancill, KZ Snow, N Otterness, F Monrose, L Davi, AR Sadeghi Research in Attacks, Intrusions, and Defenses: 16th International Symposium …, 2013 | 27 | 2013 |
Supporting mode changes while providing hardware isolation in mixed-criticality multicore systems M Chisholm, N Kim, S Tang, N Otterness, JH Anderson, FD Smith, ... Proceedings of the 25th international conference on real-time networks and …, 2017 | 23 | 2017 |
Allowing shared libraries while supporting hardware isolation in multicore real-time systems N Kim, M Chisholm, N Otterness, JH Anderson, FD Smith 2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2017 | 22 | 2017 |
GPU sharing for image processing in embedded real-time systems N Otterness, V Miller, M Yang, J Anderson, FD Smith, S Wang OSPERT’16, 2016 | 20 | 2016 |
Making powerful enemies on NVIDIA GPUs T Yandrofski, J Chen, N Otterness, JH Anderson, FD Smith 2022 IEEE Real-Time Systems Symposium (RTSS), 383-395, 2022 | 17 | 2022 |
Cache, Trigger, Impersonate: Enabling Context-Sensitive Honeyclient Analysis On-the-Wire. T Taylor, KZ Snow, N Otterness, F Monrose NDSS, 2016 | 17 | 2016 |
Methods, systems, and computer readable media for preventing code reuse attacks JJ Werner, KZ Snow, NM Otterness, RJ Dallara, G Baltas, FN Monrose, ... US Patent 10,628,589, 2020 | 13 | 2020 |
Making openvx really” real time”,” in 2018 IEEE Real-Time Systems Symposium (RTSS) M Yang, T Amert, K Yang, N Otterness, JH Anderson, FD Smith, S Wang IEEE, 2018 | 10 | 2018 |
Developing real-time GPU-sharing platforms for artificial-intelligence applications NM Otterness The University of North Carolina at Chapel Hill, 2022 | 5 | 2022 |
KevinZ. Snow, Nathan Otterness, Fabian Monrose, Lucas Davi, and Ahmad-Reza Sadeghi. Check my profile: Leveraging static analysis for fast and accurate detection of rop gadgets B Stancill Research in Attacks, Intrusions, and Defenses 8145, 0 | 2 | |