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DistBelief: model/data parallelism with Downpour and Sandblaster

Partitioned neural computation across machines and replicas, combining asynchronous Downpour SGD and coordinated distributed batch optimization through sharded parameter storage.

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Partitioned neural computation across machines and replicas, combining asynchronous Downpour SGD and coordinated distributed batch optimization through sharded parameter storage.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

System/algorithm integration inherits SGD, L-BFGS, Adagrad and earlier distributed optimization, not their invention or first parameter-server concept. Scaling benefits depend on connectivity, resource allocation, communication and staleness; not unconstrained neural convergence or universal speedup.

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People and systems

Jeffrey Dean; Greg S. Corrado; Rajat Monga; Kai Chen; Matthieu Devin; Quoc V. Le; Mark Z. Mao; Marc’Aurelio Ranzato; Andrew Senior; Paul Tucker; Ke Yang; Andrew Y. Ng

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.

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English catalogue narrative

DistBelief: model/data parallelism with Downpour and Sandblaster

Partitioned neural computation across machines and replicas, combining asynchronous Downpour SGD and coordinated distributed batch optimization through sharded parameter storage.

Scientific scope

System/algorithm integration inherits SGD, L-BFGS, Adagrad and earlier distributed optimization, not their invention or first parameter-server concept. Scaling benefits depend on connectivity, resource allocation, communication and staleness; not unconstrained neural convergence or universal speedup.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Jeffrey Dean; Greg S. Corrado; Rajat Monga; Kai Chen; Matthieu Devin; Quoc V. Le; Mark Z. Mao; Marc’Aurelio Ranzato; Andrew Senior; Paul Tucker; Ke Yang; Andrew Y. Ng

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.

Original sources