Parallel Libraries

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

The Genetic and Evolutionary Algorithm Toolbox for Python with high performance. The features of Geatpy: Capability of solving single-objective, multi-objectives, many-objectives and combinatorial op…

Adaptive is an open-source Python library that streamlines adaptive parallel function evaluations. Rather than calculating all points on a dense grid, it intelligently selects the "best" points in th…

Covalent is a Python library for AI/ML engineers, developers, and researchers. It provides a straightforward approach to running compute jobs, like LLMs, generative AI, and scientific research, on v…

Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming: A modern multi-core server has 16-32 cores and nearly 1TB of memo…

MALib is a parallel framework of population-based learning nested with reinforcement learning methods, such as Policy Space Response Oracle, Self-Play, and Neural Fictitious Self-Play. MALib provides…

FAST is an open-source framework with the main goal of making it easier to do high-performance processing, neural network inference, and visualization of medical images utilizing multi-core CPUs and …

If you use pip and don't have JAX installed already, you will also need to do: Running this script on 4 processes gives:

But, PySpark+Jupyter combo needs a little bit more love :-) Resilient Distributed Datasets (RDD) is a fundamental data structure of Spark. It is an immutable distributed collection of objects. Each d…

Lithops is a Python multi-cloud distributed computing framework. It allows you to run unmodified local python code at massive scale in the main serverless computing platforms. Lithops delivers the u…

Binaries are available for some platforms. If your platform is not supported, pip will attempt to install from source, in which case follow the instructions below. The scipy EDT took about 20 seconds…

Heat is a distributed tensor framework for high performance data analytics. With Heat you can: If you need a functionality that is not yet supported: It should print something like this: In order to …

Jiayi Weng (jiayiwen), Zixu Chen (zixuc) The above output shows all extensions have successfully installed. We have prepared the test suite to run: This script will download 8 tests from GitHub, and …

LibRapid is an extremely fast, highly-optimised and easy-to-use C++ library for mathematics, linear algebra and more, with an extremely powerful multidimensional array class at it's core. Every part …

With Entangle you can run simple, hardware parallelized code with conditional logic that looks like this. or train two AI models in parallel using tensorflow container utilizing dedicated CPU and GPU…

A HTML page with curated list of Python frameworks! Fork and clone this repository, and run Add a Bootstrap card element, like this: If you need a new category for a Python framework, try this:

A HTML page with curated list of Python frameworks! That's it! Add a Bootstrap card element, like this: If you need a new category for Python frameworks, try this: And, update the navbar links,

To Wrapify a class, simply add the decorators describing the publisher and listener parameters. Wrapify imposes an object-orientedrequirement on your coding style: All wrapify compatible functions ne…