Publications
Optimizing Data Collection in Deep Reinforcement Learning
James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko
MLBench 2022
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MoIL: Enabling Efficient Incremental Training on Edge Devices
Jiacheng Yang, James Gleeson, Mostafa Elhoushi, Gennady Pekhimenko
HAET 2021
Crane: Fast and Migratable GPU Passthrough for OpenCL applications
James Gleeson, Daniel Kats, Charlie Mei, Eyal de Lara
SYSTOR 2017 Acceptance rate: 37.8% (17/45)
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Protecting Data on Smartphones and Tablets from Memory Attacks
Patrick Colp, Jiawen Zhang, James Gleeson, Sahil Suneja, Eyal de Lara, Himanshu Raj, Stefan Saroiu, Alec Wolman
ASPLOS 2015 Acceptance rate: 17.3% (48/278)
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