Our new Nvdia Tesla V100 GPUs machines have now been setup within the EDS datacenter laboratory, and will be used for researching machine learning system security and energy usage.
(Note: They are surprisingly loud)
PhD students Gingfung Yeung and James Bulman presented their work at HotCloud’20 co-located at USENIX ATC 2020.
Our paper titled Horus: An Interference-aware Resource Manager for Deep Learning Systems has been accepted for publication within the 20th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2020).
Our paper titled Integrating Clustering and Regression for Workload Estimation in the Cloud has been accepted for publication within the journal of Concurrency and Computation: Practice and Experience. This work was conducted in collaboration with The University of Texas at Dallas and The University of Leeds,
Our papers titled Towards GPU Utilization Prediction for Cloud Deep Learning and A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines have been accepted within the
12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud).
Our paper titled ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments has been accepted for publication within
The Journal of Systems and Software.