Forked Successor to github.com/JuliaFolds/FLoops.jl

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

Distributed Data Parallel Training of Deep Neural Networks

Readily pin Julia threads to CPU-threads

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

A Julia package for clusterless distributed computing on Azure

Concurrent data structures for Julia

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The cheapest threads you can find!

The cheapest threads you can find!

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

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

Julia wrapper for the performance monitoring and benchmarking suite LIKWID.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Elastic and fault tolerant parallel map and parallel map reduce methods. Part of the COFII framework.

Distributed Julia arrays using the MPI protocol

AMD GPU (ROCm) programming in Julia

Fast `StatsBase.countmap` for small types on the GPU via CUDA.jl

Metal programming in Julia

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Julia package for benchmarking a system

Parallel distributed-memory version of Gridap

Reusable compiler infrastructure for Julia GPU backends.

GPU integrations for Dagger.jl

Divide and Conquer Linear Algebra

A Julia profiling package that provides an "own time" and "total time" view of profiling data

Heterogeneous programming in Julia

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A Power Flow Solver for GPUs in Julia

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

A SDK/library for decentralized web and distributing computing projects

Compiles Julia code to a standalone library (experimental)

Julia framework for energy system models with a focus on multi-period capacity expansion

CUDA programming in Julia.

Julia parallel constructs over MPI

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

Stochastic Optimization, Learning, Uncertainty and Sampling

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Adaptive persistency-based mechanism for Dispatcher task graphs