Search Results for author: Michael J. Freedman

Found 2 papers, 0 papers with code

VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware

no code implementations20 Sep 2020 Andrew Or, Haoyu Zhang, Michael J. Freedman

In our evaluation, our implementation of VirtualFlow for TensorFlow achieved strong convergence guarantees across different hardware with out-of-the-box hyperparameters, up to 48% lower job completion times with resource elasticity, and up to 42% higher throughput with heterogeneous training.

Poor Video Streaming Performance Explained (and Fixed)

no code implementations31 Dec 2018 Matvey Arye, Siddhartha Sen, Michael J. Freedman

We show that the root cause of the problem lies in the data plane, and that even a perfect control plane (ABR) algorithm is not enough to guarantee video flows their fair share of network bandwidth.

Networking and Internet Architecture

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