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Auto Parallelization

Explore how to implement auto parallelization in JAX using pmap to distribute computations across GPUs or TPUs. Understand device management functions and how combining pmap with vmap enhances both batch vectorization and device-level parallelism for more efficient deep learning workflows.

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With ever-increasing data and computational resources, there is always a pressing need for parallel processing. Luckily, JAX facilitates this feature as well. Just like vmap(), we can use pmap() for parallel execution of a given function.

Remember: Since this lesson’s subjects, vmap() and pmap(), require GPU/TPU support, the code ...