Python bindings for MPI

mpi4py examples

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Analysis kit for large-scale structure datasets, the massively parallel way

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.

Simulation of wildfire using cellular automaton and used mpi4py to parallel the program. Final Project for High Performance Computing and Parallel Computing Spring 2018@GWU

Geophysical Bayesian Inference in Python. Docs:

mpi4py-fft is a Python package for computing Fast Fourier Transforms (FFTs).

Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉

NSLS-II Ptychography Software - frontend

Numba @jit compatible wrappers for MPI C API tested on Linux, macOS and Windows

Master Slave code in mpi4py

Example of using MPI in Python with mpi4py (and SLURM!)

Basic tutorial for ESMPy Python package

Population-Based Training (PBT) for Reinforcement Learning using Message Passing Interface (MPI)

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

Train across all your devices, ezpz 🍋

Use Python for lattice QCD research based on the QUDA library.

🖥️ A Beowulf cluster is a type of High-Performance Computing (HPC) cluster that is designed to perform parallel computations on large data sets or complex computational problems. This tutorial explains how to setup and run your first Beowulf cluster.