Open Source Python Distributed Computing Software

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.

Slurm is a replacement for other resource management software and schedulers like gridengine or torque. The slurm roll integrates very well into a rocks clusters installation. In the folder addons, there are a lot of useful rolls for rocks clusters 6.1 and 6.2. These rolls do not depend on slurm. Please see Discussion for further information and support

Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.

This package provides Python bindings to the OpenPBS C API. All functions of the OpenPBS C library can be accessed in Python through the use of this package. We provide extensive documentation on the usage and lots of examples.

LinuxTuples is an open-source implementation of David Gelernter's idea of a tuple space, designed to run on a networked cluster of Linux machines.

MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.

SSS-OSCAR is an integrated release of the SciDAC:Scalable System Software (SSS) suite using the OSCAR cluster installation framework. The SSS project seeks to provide a standard interface for effective management and utilization of terascale systems.

XtreemOS project aims at building a Linux-based operating system to support virtual organizations for next generation Grids.

Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.