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Mesh-TensorFlow: tensor-dimension sharding language

Contribution grade

Distributed model-parallel computation · Human-designed research method or resource

Reference score140,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Specified tensor dimensions across logical processor-mesh dimensions and compiled distributed operations into SPMD programs with collective communications.

Scientific scope

Specified tensor dimensions across logical processor-mesh dimensions and compiled distributed operations into SPMD programs with collective communications. Generalizes existing data/model parallelism rather than inventing them. Assumes identical reliable processors; a logical mesh is not a physical topology and communication cost remains. Reported Transformer scaling is workload/hardware-specific.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Generalizes existing data/model parallelism rather than inventing them. Assumes identical reliable processors; a logical mesh is not a physical topology and communication cost remains. Reported Transformer scaling is workload/hardware-specific.

Contributors

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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