TensorFlow: A system for large-scale machine learning

@inproceedings{Abadi2016TensorFlowAS,
  title={TensorFlow: A system for large-scale machine learning},
  author={Mart{\'i}n Abadi and Paul Barham and Jianmin Chen and Zhifeng Chen and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Geoffrey Irving and Michael Isard and Manjunath Kudlur and Josh Levenberg and Rajat Monga and Sherry Moore and Derek Gordon Murray and Benoit Steiner and Paul A. Tucker and Vijay Vasudevan and Pete Warden and Martin Wicke and Yuan Yu and Xiaoqiang Zhang},
  booktitle={OSDI},
  year={2016}
}
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, generalpurpose GPUs, and custom designed ASICs known as Tensor Processing Units (TPUs). This architecture gives… CONTINUE READING
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Annual review of computer science vol. 1, 1986. chapter Dataflow Architectures, pages 225–253

  • Arvind, D. E. Culler
  • 1986
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