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High-Performance Data Transfer · Awesome GitHub Repositories

1 repo

Awesome GitHub RepositoriesHigh-Performance Data Transfer

Mechanisms for efficient, low-latency data movement between distributed processes.

Distinguishing note: Focuses on direct tensor transfer to bypass standard serialization.

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  • ray-project/ray

    ray-project/ray

    41,400View on GitHub↗

    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

    Moves tensors between actors using specialized libraries to avoid expensive serialization.

    Pythondata-sciencedeep-learningdeployment
    41,400View on GitHub↗