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ORCIDJames Gleeson 0001
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- affiliation: University of Toronto, Department of Computer Science, Canada
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Conference and Workshop Papers
- 2024
[c5]Jiacheng Yang
, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko:
Minuet: Accelerating 3D Sparse Convolutions on GPUs. EuroSys 2024: 786-802- 2021
- [c4]James Gleeson, Moshe Gabel, Gennady Pekhimenko, Eyal de Lara, Srivatsan Krishnan, Vijay Janapa Reddi:
RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads. MLSys 2021 - 2017
- [c3]James Gleeson, Eyal de Lara:
Heterogeneous GPU reallocation. HotCloud 2017 - [c2]James Gleeson, Daniel Kats, Charlie Mei, Eyal de Lara:
Crane: fast and migratable GPU passthrough for OpenCL applications. SYSTOR 2017: 11:1-11:13 - 2015
- [c1]Patrick Colp, Jiawen Zhang, James Gleeson, Sahil Suneja, Eyal de Lara, Himanshu Raj, Stefan Saroiu, Alec Wolman:
Protecting Data on Smartphones and Tablets from Memory Attacks. ASPLOS 2015: 177-189
Informal and Other Publications
- 2024
- [i3]Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko:
Minuet: Accelerating 3D Sparse Convolutions on GPUs. CoRR abs/2401.06145 (2024) - 2022
- [i2]James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko:
Optimizing Data Collection in Deep Reinforcement Learning. CoRR abs/2207.07736 (2022) - 2021
- [i1]James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko:
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. CoRR abs/2102.04285 (2021)
Coauthor Index
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