1 dépôt
Awesome GitHub RepositoriesDistributed Function Mapping
Techniques for executing functions across multiple devices using single-program multiple-data patterns.
Distinguishing note: Focuses on manual function mapping over data shards.
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Awesome Distributed Function Mapping GitHub Repositories
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- jax-ml/jax
jax-ml/jax
35,828Voir sur GitHubThis project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,
Executes functions across multiple devices while maintaining explicit control over data partitioning.
Pythonjax
