Automated Parallelization System and Infrastructure for Multiple Ecosystems
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Updated
Oct 14, 2024 - Python
Automated Parallelization System and Infrastructure for Multiple Ecosystems
Refactorings for optimizing Java 8 stream client code for greater parallelism and efficiency.
Benchmarks of loop fission algorithm.
DiscoPoP - Discovery of Potential Parallelism
TC Optimizing Compiler
Pluto: An automatic polyhedral parallelizer and locality optimizer
Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.
Cetus Source to Source compiler improvements underway at University of Delaware
APReF's implementation in Python 3
[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
the base for a web-based parallel programming environment build over a microservice approach
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.
APReF: An Automatic Parallelizer of Recursive Functions for Haskell
Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs
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