Patrick Colp, Jiawen Zhang, James Gleeson, Sahil Suneja, Eyal de Lara, Himanshu Raj, Stefan Saroiu, Alec Wolman. 2015. "Protecting Data on Smartphones and Tablets from Memory Attacks," Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Istanbul, Turkey 2015.
James Gleeson, Daniel Kats, Charlie Mei, Eyal de Lara. 2017. "Crane: Fast and Migratable GPU Passthrough for OpenCL applications," Proceedings of the 10th ACM International Systems and Storage Conference (SYSTOR), Haifa, Israel 2017.
James Gleeson, Eyal de Lara. 2017. "Heterogeneous GPU reallocation," 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17), Santa Clara, CA, USA 2017.
James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko. 2021. "RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads," Third Conference on Machine Learning and Systems (MLSys), San Jose, CA, USA 2021.
Jiacheng Yang, James Gleeson, Mostafa Elhoushi, Gennady Pekhimenko. 2021. "MoIL: Enabling Efficient Incremental Training on Edge Devices," First Workshop on Hardware Aware Efficient Training (HAET), Vienna, Austria 2021.
James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko. 2022. "Optimizing Data Collection in Deep Reinforcement Learning," Third Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench 22), Santa Clara, CA, USA 2022.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA