Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
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Updated
May 20, 2015 - C
Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
APReF: An Automatic Parallelizer of Recursive Functions for Haskell
TC Optimizing Compiler
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
Benchmarks of loop fission algorithm.
[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
APReF's implementation in Python 3
Cetus Source to Source compiler improvements underway at University of Delaware
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.
Pluto: An automatic polyhedral parallelizer and locality optimizer
DiscoPoP - Discovery of Potential Parallelism
Automated Parallelization System and Infrastructure for Multiple Ecosystems
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