PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library.

Also there are available tools for benchmarking cluster interconnect and visualize it.

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2)

Follow PARUS

PARUS Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of PARUS!

Additional Project Details

Operating Systems

BSD, Linux

Languages

English, Russian

Intended Audience

Developers, Science/Research

User Interface

Command-line, Java Swing, Qt

Programming Language

C, C++, Java

Related Categories

C++ Code Generators, C++ Benchmark Software, C++ Clustering Software, C++ Programming Languages, C Code Generators, C Benchmark Software, C Clustering Software, C Programming Languages, Java Code Generators, Java Benchmark Software, Java Clustering Software, Java Programming Languages

Registered

2006-02-22