Dan Simpson • 5/13/2022

Sparse Matrices 3: Failing at JAX

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This technical blog post details the author's ongoing struggle to implement sparse matrix operations, specifically Cholesky factorizations, within the JAX framework. It examines JAX's transformation limitations and array immutability, analyzing their impact on three core functions needed for sparse matrix support in PyMC to accelerate inference for linear mixed and spatial models.

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#performance optimization #sparse matrices #Jax
Sparse Matrices 3: Failing at JAX

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