Sotabase

Career

· Principal Software Engineer, Google DeepMind2025–
· Senior Staff Software Engineer, Google2023–2025
· Software Engineer, Lacework2021–2023
· Principal Architect, Microsoft2020–2021
· Senior Staff Software Engineer, Google2014–2025
· Researcher, Microsoft2013–2014
· Postdoctoral Researcher, Microsoft2011–2013
· Research Intern, Microsoft2009–2009
· PhD, University of Cambridge2007–2011
· Research Student, University of Cambridge2007–2011
· Research Assistant, University of Cambridge2006–2007
· MSc, The University of Edinburgh2005–2006
· Summer Intern, Detica2004–2004
· Summer Intern, Dell Computer Corporation2003–2003
· BSc (Hons), University of Glasgow2001–2005

Publications (46)

This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Tensorflow: a System for Large-scale Machine Learning Tensorflow: a System for Large-scale Machine Learning
19,241
cited
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
arXiv.org · 2016
11,560
cited
Naiad: a timely dataflow system
Symposium on Operating Systems Principles · 2013
853
cited
Scalability! But at what COST?
USENIX Workshop on Hot Topics in Operating Systems · 2015
361
cited
CIEL: A Universal Execution Engine for Distributed Data-Flow Computing
Symposium on Networked Systems Design and Implementation · 2011
329
cited
Improving Xen security through disaggregation
International Conference on Virtual Execution Environments · 2008
257
cited
Satori: Enlightened Page Sharing
USENIX Annual Technical Conference · 2009
211
cited
Differential Dataflow
Conference on Innovative Data Systems Research · 2013
205
cited
Dynamic control flow in large-scale machine learning
European Conference on Computer Systems · 2018
112
cited
tf.data: A Machine Learning Data Processing Framework
Proceedings of the VLDB Endowment · 2021
103
cited
Broom: Sweeping Out Garbage Collection from Big Data Systems
USENIX Workshop on Hot Topics in Operating Systems · 2015
99
cited
The case for crowd computing
Networking, Systems, and Applications for Mobile Handhelds · 2010
97
cited
A computational model for TensorFlow: an introduction
MAPL@PLDI · 2017
88
cited
Steno: automatic optimization of declarative queries
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 2011
65
cited
The Seven Deadly Sins of Cloud Computing Research
USENIX Workshop on Hot Topics in Cloud Computing · 2012
56
cited
Incremental, iterative data processing with timely dataflow
Communications of the ACM · 2016
49
cited
Scripting the Cloud with Skywriting
USENIX Workshop on Hot Topics in Cloud Computing · 2010
42
cited
Privilege separation made easy: trusting small libraries not big processes
European Workshop on System Security · 2008
27
cited
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers
Proceedings of the VLDB Endowment · 2022
26
cited
MLSys: The New Frontier of Machine Learning Systems
2019
25
cited
Sotabase
Derek Murray | Researcher Profile | Sotabase | Sotabase