Andrew Or

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 7

Top Topics

Computational Grids

Meeting Scheduling

Top Venues

Proc. VLDB Endow.

Publications

Andrew Or, Haoyu Zhang, Michael None Freedman
VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware. MLSys (2022)
Andrew Or, Haoyu Zhang, Michael J. Freedman
Resource Elasticity in Distributed Deep Learning. MLSys (2020)
Andrew Or, Haoyu Zhang, Michael J. Freedman
VirtualFlow: Decoupling Deep Learning Model Execution from Underlying Hardware. CoRR (2020)
Logan Stafman, Andrew Or, Michael J. Freedman
ReLAQS: Reducing Latency for Multi-Tenant Approximate Queries via Scheduling. Middleware (2019)
Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning. CoRR (2018)
Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman
SLAQ: quality-driven scheduling for distributed machine learning. SoCC (2017)
Michael Armbrust, Tathagata Das, Aaron Davidson, Ali Ghodsi, Andrew Or, Josh Rosen, Ion Stoica, Patrick Wendell, Reynold Xin, Matei Zaharia
Scaling Spark in the Real World: Performance and Usability. Proc. VLDB Endow. 8 (12) (2015)
Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Jefferson Lai, Eugene Huang, Zhi Liu, Ahmed El-Hassany, Sam Whitlock, Hrishikesh B. Acharya, Kyriakos Zarifis, Scott Shenker
Troubleshooting blackbox SDN control software with minimal causal sequences. SIGCOMM (2014)