A SDK/library for decentralized web and distributing computing projects

High Performance Analytics Toolkit (HPAT) is a Julia-based framework for big data analytics on clusters.

Large-scale, distributed, sparse linear algebra in Julia.

Sampling from intractable distributions, with support for distributed and parallel methods

Distributed Data Parallel Training of Deep Neural Networks

Julia parallel constructs over MPI

A Julia package for clusterless distributed computing on Azure

Functional High-Performance Computing in Julia

Parallel fitting of GLMs using SharedArrays

Collection of utilities for parallel processing in Julia

Global and Distributed dictionaries

Julia package to access HPE Haven OnDemand API.

Few utility types over Julia Vector type

A port of the Google Flume Data-Parallel Pipeline system to Julia

SGEArray implements a simple iterator in Julia to efficiently handle Sun Grid Engine task arrays