Article in Proceedings INPROC-2017-72

BibliographyMayer, Ruben; Mayer, Christian; Laich, Larissa: The TensorFlow Partitioning and Scheduling Problem: It’s the Critical Path!.
In: Proceedings of DIDL'17: Workshop on Distributed Infrastructures for Deep Learning (DIDL'17).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-6, english.
ACM, December 11, 2017.
Article in Proceedings (Workshop Paper).
CR-SchemaC.2.4 (Distributed Systems)
KeywordsTensorFlow; partitioning; scheduling; critical path
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Copyright© 2017 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateFebruary 5, 2018
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