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Integrity report for Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:1905.04035 · pith:2019:6UKMLYM3CWA2ASBH2IS5JPJHCL

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Paper page arXiv integrity.json bundle.json

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