Pluto: An automatic polyhedral parallelizer and locality optimizer

Automated Parallelization System and Infrastructure for Multiple Ecosystems

Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs

[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang/OptimalShardedDataParallel

DiscoPoP - Discovery of Potential Parallelism

PyCOMPSs AutoParallel

TC Optimizing Compiler

Refactorings for optimizing Java 8 stream client code for greater parallelism and efficiency.

Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.

Benchmarks of loop fission algorithm.

APReF: An Automatic Parallelizer of Recursive Functions for Haskell

PARQ is an automatic parallelization engine based on Skolem Function Synthesis and Quantified Invariant Generation. It is aimed at parallelization of array modifying programs written as Constrained Horn Clause (CHC) formulas.

the base for a web-based parallel programming environment build over a microservice approach

Cetus Source to Source compiler improvements underway at University of Delaware

APReF's implementation in Python 3