| Protecting data on smartphones and tablets from memory attacks P Colp, J Zhang, J Gleeson, S Suneja, E De Lara, H Raj, S Saroiu, ... Proceedings of the Twentieth International Conference on Architectural …, 2015 | 146 | 2015 |
| RL-Scope: Cross-stack profiling for deep reinforcement learning workloads J Gleeson, M Gabel, G Pekhimenko, E de Lara, S Krishnan, ... Proceedings of Machine Learning and Systems 3, 783-799, 2021 | 11 | 2021 |
| Crane: fast and migratable gpu passthrough for opencl applications J Gleeson, D Kats, C Mei, E de Lara Proceedings of the 10th ACM International Systems and Storage Conference, 1-13, 2017 | 6 | 2017 |
| Heterogeneous {GPU} reallocation J Gleeson, E De Lara 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17), 2017 | 5 | 2017 |
| Optimizing Data Collection in Deep Reinforcement Learning J Gleeson, D Snider, Y Yang, M Gabel, E de Lara, G Pekhimenko Third Workshop on Benchmarking Machine Learning Workloads on Emerging …, 2022 | 2 | 2022 |
| GPU Encrypt: AES Encryption on Mobile Devices J Gleeson, S Rajan, V Saini | 2 | 2014 |
| Technical report: Crane—Fast and Migratable GPU Passthrough for OpenCL applications J Gleeson, D Kats, C Mei, E de Lara University of Toronto, Toronto, Canada 12, 0 | 2 | |
| Minuet: Accelerating 3D sparse convolutions on GPUs J Yang, C Giannoula, J Wu, M Elhoushi, J Gleeson, G Pekhimenko Proceedings of the Nineteenth European Conference on Computer Systems, 786-802, 2024 | | 2024 |
| Managing, Profiling, and Optimizing Heterogeneous GPU Workloads J Gleeson University of Toronto (Canada), 2023 | | 2023 |
| GPU Encrypt–First Progress Report J Gleeson, S Rajan, V Saini | | |
| GPU Encrypt–Second Progress Report J Gleeson, S Rajan, V Saini | | |
Eyal de LaraProfessor of Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
