lava VS mpi4jax

Compare lava vs mpi4jax and see what are their differences.

lava

A Highlevel Python Wrapper for Vulkan's Compute API (by osanj)
Vulkan Numpy GPU parallel-computing Shaders vulkan-compute
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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lava mpi4jax
1 1
15 371
- 3.2%
0.0 6.7
2 months ago 23 days ago
Python Python
- MIT License
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lava

Posts with mentions or reviews of lava. We have used some of these posts to build our list of alternatives and similar projects.

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 lava and mpi4jax you can also consider the following projects:

magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.

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

python-performance - Repository for the book Fast Python - published by Manning

extending-jax - Extending JAX with custom C++ and CUDA code

Dask - Parallel computing with task scheduling

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

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

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

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

lava vs magicavoxel-shaders mpi4jax vs horovod lava vs python-performance mpi4jax vs extending-jax mpi4jax vs Dask mpi4jax vs Bulk mpi4jax vs devito mpi4jax vs einops mpi4jax vs pyhpc-benchmarks