up-scale python functions for high performance computing
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Updated
Jul 7, 2024 - Python
up-scale python functions for high performance computing
Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook
Python bindings for MPI
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Numba @njittable wrappers for MPI C API tested on Linux, macOS and Windows
This is a teaching material aimed to demonstrate the powerfulness of the SPMD paradigm with MPI.
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. 🎉
User documentation website for the Sulis tier 2 HPC service. Built using Jekyll.
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
Geophysical Bayesian Inference in Python. Docs:
Python realisation of Casino (QMC) program
Teaching materials from FIDIT
This project using the a multi-core framework MPI to process the data parallel, and using the Linux command and slurm script to interact with a cluster.
A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution
Tools for analysis of turbulent flow datasets
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