Abadi and colleagues: TensorFlow distributed stateful dataflow system

What changed

Unified computation and mutable shared state in dataflow graphs mapped over heterogeneous devices and distributed machines for training and inference.

Scientific scope

Unified computation and mutable shared state in dataflow graphs mapped over heterogeneous devices and distributed machines for training and inference. Year denotes the OSDI system paper, not the 2015 release. Dataflow, parameter servers and automatic differentiation have earlier origins.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Year denotes the OSDI system paper, not the 2015 release. Dataflow, parameter servers and automatic differentiation have earlier origins.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• TensorFlow: A system for large-scale machine learning
• Abadi and colleagues: TensorFlow distributed stateful dataflow system — institutional research record

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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