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Awesome GitHub RepositoriesArray Partitioning Specifications
Definitions for controlling how data arrays are stored across physical device memories.
Distinguishing note: Focuses on explicit partition specifications for data layout.
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Awesome Array Partitioning Specifications GitHub Repositories
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- jax-ml/jax
jax-ml/jax
34,919View on 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,
Defines how array values are stored across physical device memories to control data layout.
Pythonjax
