Merlin

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Merlin

Enabling Machine Learning HPC Workflows

The Merlin workflow framework targets large-scale scientific machine learning (ML) workflows in High Performance Computing (HPC) environments. Merlin is a producer-consumer workflow model that enables multi-machine, cross-batch job, dynamically allocated yet persistent workflows capable of utilizing surge-compute resources. Key features are a flexible and intuitive HPC-centric interface, low per-task overhead, multi-tiered fault recovery, and a hierarchical sampling algorithm that allows for highly scalable task execution and queuing to ensembles of millions of tasks.

Terminology

Terminology below follows the definitions established by the Workflows Community Terminology.