Derek G. Murray
Derek currently works on Machine Learning Frameworks in the Core ML group. Previously, he was a member of the Google Brain team, working on TensorFlow, tf.data, and related machine learning infrastructure.
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Authored Publications
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tf.data: A Machine Learning Data Processing Framework
Jiri Simsa
Ana Klimovic
Ihor Indyk
VLDB '21: 47th International Conference on Very Large Data Bases (2021)
Dynamic Control Flow in Large-Scale Machine Learning
Yuan Yu
Eugene Brevdo
Mike Burrows
Tim Harley
Peter Hawkins
Manjunath Kudlur
Rajat Monga
Xiaoqiang Zheng
Proceedings of EuroSys 2018
A Computational Model for TensorFlow (An Introduction)
1st ACM SIGPLAN Workshop on Machine Learning and Programming Languages (MAPL 2017) (2017)
Incremental, iterative data processing with timely dataflow
Frank McSherry
Rebecca Isaacs
Communications of the ACM, 59 (2016), pp. 75-83
TensorFlow: A system for large-scale machine learning
Jianmin Chen
Zhifeng Chen
Matthieu Devin
Geoffrey Irving
Manjunath Kudlur
Rajat Monga
Benoit Steiner
Paul Tucker
Vijay Vasudevan
Pete Warden
Yuan Yu
Xiaoqiang Zheng
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), USENIX Association (2016), pp. 265-283
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Ashish Agarwal
Eugene Brevdo
Zhifeng Chen
Craig Citro
Matthieu Devin
Ian Goodfellow
Andrew Harp
Geoffrey Irving
Yangqing Jia
Rafal Jozefowicz
Lukasz Kaiser
Manjunath Kudlur
Dan Mané
Rajat Monga
Chris Olah
Mike Schuster
Jonathon Shlens
Benoit Steiner
Ilya Sutskever
Kunal Talwar
Paul Tucker
Vijay Vasudevan
Pete Warden
Yuan Yu
Xiaoqiang Zheng
tensorflow.org (2015)
