Welcome to the project homepage of ViennaX, a high-performance scientific computing C++ framework for executing plugins. A plugin system allows to wrap already available functionality into reusable components, which can have data input and output dependencies via a socket system. Different scheduler kernels are available, supporting serial and MPI-based distributed executions, supporting task and data parallelism.

Features

  • Flexible plugin system
  • Plugin data exchange via data sockets for arbitrary datatypes
  • Extendible scheduler kernel system
  • Serial Scheduler
  • Distributed Data Parallel Scheduler
  • Distributed Task Parallel Scheduler
  • CMake
  • Header only
  • Examples & Tests

Project Samples

Plugin sockets are configured during run-time, enabling flexible task graph setups. The Distributed Task Parallel Scheduler Available functionality can be wrapped by ViennaX plugins, introducing exchangeability of functionality. The XML-based input data is also used to forward parameters to plugins via the XPath query language. Task-graph loops are supported. The Distributed Data Parallel Scheduler

Project Activity

See All Activity >

Categories

Scientific/Engineering

License

MIT License

Follow ViennaX

ViennaX Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ViennaX!

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Science/Research

Programming Language

C++

Related Categories

C++ Scientific Engineering

Registered

2012-04-27
Report inappropriate content