concept:tensor-parallelism

Tensor Parallelism

Tensor Parallelism in the context of production machine-learning systems.

Lessons

Formal explanations, examples, simulations, and checkpoints.

Use hangs, stragglers, and scaling efficiency to move the distributed training production brief toward a defensible release.

Dependency-authoritative learning units.

Reported facts and course reconstructions.

Parallelism is a placement problem constrained by bytes, shapes, and topology.