Search Results for "cluster computing"

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.

If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda...

Provides auxiliary tools for the Monte Carlo particle transport code FLUKA (www.fluka.org).

PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.

HPC cloud computing for OpenFOAM (R) users

This modular software package forms an integration point for Grid/Cloud/Cluster products. If provides several adapters which can easily be used to build complete Services/integrate products. It enables federation between multiple sites.

Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster

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.

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.

sharq is a batch-queueing system that allows for multiple users to make effective use of a beowulf cluster. sharq allows for prioritization based on a user's funding, and also based on the size of the job. sharq is very light-weight and easy to learn.

distX is a script which can be used to distribute CPU intensive tasks to a cluster of machines. For example, distX has been used for distributed encoding of ogg vorbis files.

Pluster is a cluster management software developed with python. It is easy to install and maintain. Pluster Provides cluster performance monitoring and remote OS installing. It's future will be an agent-based management system.

a distributed engine for abstract neural network development via natural-language programming