James Gleeson

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Data Collection

Temporal Difference Learning

Top Venues

Publications

Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko
Minuet: Accelerating 3D Sparse Convolutions on GPUs. EuroSys (2024)
Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko
Minuet: Accelerating 3D Sparse Convolutions on GPUs. CoRR (2024)
James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko
Optimizing Data Collection in Deep Reinforcement Learning. CoRR (2022)
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 (2021)
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)
James Gleeson, Eyal de Lara
Heterogeneous GPU reallocation. HotCloud (2017)
James Gleeson, Daniel Kats, Charlie Mei, Eyal de Lara
Crane: fast and migratable GPU passthrough for OpenCL applications. SYSTOR (2017)
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)