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mpi4jax reviews and mentions
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[D] Jax (or other libraries) when not using GPUs/TPUs but CPUs.
I've seen a couple of posts of folks using JAX for scientific computing (e.g. physics) workloads without much issue. The parallel primitives work just as well across multiple CPUs as they do on accelerators. If you're on a cluster, also worth looking into https://github.com/PhilipVinc/mpi4jax.
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PhilipVinc/mpi4jax is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mpi4jax is Python.
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