extending-jax VS mpi4jax

Compare extending-jax vs mpi4jax and see what are their differences.

extending-jax

Extending JAX with custom C++ and CUDA code (by dfm)
Jax Xla Cuda
Source Code
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mpi4jax

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap: (by PhilipVinc)
Mpi Jax JIT Xla GPU parallel-computing high-performance-computing
Source Code
mpi4jax.readthedocs.io
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extending-jax mpi4jax
2 1
352 371
- 7.3%
3.5 6.7
6 months ago 15 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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extending-jax

Posts with mentions or reviews of extending-jax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-15.

mpi4jax

Posts with mentions or reviews of mpi4jax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-03.
  • [D] Jax (or other libraries) when not using GPUs/TPUs but CPUs.
    2 projects | /r/MachineLearning | 3 Feb 2021
    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.

What are some alternatives?

When comparing extending-jax and mpi4jax you can also consider the following projects:

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Dask - Parallel computing with task scheduling

equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Bulk - A modern interface for implementing bulk-synchronous parallel programs.

trax - Trax — Deep Learning with Clear Code and Speed

devito - DSL and compiler framework for automated finite-differences and stencil computation

elegy - A High Level API for Deep Learning in JAX

diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

extending-jax vs einops mpi4jax vs horovod extending-jax vs thinc mpi4jax vs Dask extending-jax vs equinox mpi4jax vs Bulk extending-jax vs trax mpi4jax vs devito extending-jax vs elegy mpi4jax vs einops extending-jax vs diffrax mpi4jax vs pyhpc-benchmarks