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Tools for defining boundaries and data flow within computational graphs.
Distinguishing note: Manages execution scope and entry/exit points for task graphs.
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Ray is a distributed computing framework designed to scale Python and Java applications across clusters by abstracting task scheduling and resource management. It functions as a resource-aware execution engine that manages task dependencies, placement, and fault tolerance across networked compute nodes. At its core, the system provides a stateful actor model, allowing developers to define classes that run in dedicated processes to maintain and mutate internal state across remote method calls. The framework distinguishes itself through a robust cross-language interoperability layer, enabling f
Enables setting entry and exit points for directed acyclic graphs to manage data flow.