pyhpc-benchmarks VS mpi4jax

Compare pyhpc-benchmarks vs mpi4jax and see what are their differences.

pyhpc-benchmarks

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket: (by dionhaefner)
Benchmarks Python Tensorflow Pytorch Jax cupy parallel-computing high-performance-computing GPU
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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pyhpc-benchmarks mpi4jax
6 1
301 371
- 3.2%
3.2 6.7
4 months ago 20 days ago
Python Python
The Unlicense MIT License
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pyhpc-benchmarks

Posts with mentions or reviews of pyhpc-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-05.

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 pyhpc-benchmarks and mpi4jax you can also consider the following projects:

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

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

pyopencl - OpenCL integration for Python, plus shiny features

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

sqloxide - Python bindings for sqlparser-rs

Dask - Parallel computing with task scheduling

MATDaemon.jl

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

3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

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

XLA.jl - "Maybe we have our own magic."

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

pyhpc-benchmarks vs tf-quant-finance mpi4jax vs horovod pyhpc-benchmarks vs pyopencl mpi4jax vs extending-jax pyhpc-benchmarks vs sqloxide mpi4jax vs Dask pyhpc-benchmarks vs MATDaemon.jl mpi4jax vs Bulk pyhpc-benchmarks vs 3d-ken-burns mpi4jax vs devito pyhpc-benchmarks vs XLA.jl mpi4jax vs einops