Andrew Or

According to our database, Andrew Or authored at least 8 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware.

Andrew Or, Haoyu Zhang, Michael None Freedman

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

Abstracting Systems Challenges from Distributed Deep Learning

Andrew Or

PhD thesis, 2021

2020

VirtualFlow: Decoupling Deep Learning Model Execution from Underlying Hardware.

Andrew Or, Haoyu Zhang, Michael J. Freedman

CoRR, 2020

Resource Elasticity in Distributed Deep Learning.

Andrew Or, Haoyu Zhang, Michael J. Freedman

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

ReLAQS: Reducing Latency for Multi-Tenant Approximate Queries via Scheduling.

Logan Stafman, Andrew Or, Michael J. Freedman

Proceedings of the 20th International Middleware Conference, 2019

2017

SLAQ: quality-driven scheduling for distributed machine learning.

Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2015

Scaling Spark in the Real World: Performance and Usability.

Michael Armbrust, Tathagata Das, Aaron Davidson, Ali Ghodsi, Andrew Or, Josh Rosen, Ion Stoica, Patrick Wendell, Reynold Xin, Matei Zaharia

Proc. VLDB Endow., 2015

2014

Troubleshooting blackbox SDN control software with minimal causal sequences.

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

Proceedings of the ACM SIGCOMM 2014 Conference, 2014