Search Results for "google-visualization-python" - Page 2
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Showing 48 open source projects for "google-visualization-python"
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NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.
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A very lightweight Python program that executes commands on multiple Linux hosts in a user-designated number of threads via SSH. Intended for management for a large number of Linux/Unix nodes
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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
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The Parallel Compositing library enables developers to write scalable 3D graphics applications. The library does sort-last compositing, and works on both clusters and SMP machines. The API aims to be the MPI of parallel compositing.
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This is an opensource project for the calculation of the mathematical constant Pi. If you are a mathematician or programer please contribute ideas or code for this project. Non professionals are also welcome to contribute.
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Python port of Platform LSF API using swig. Access is provided directly to the API call in addition to server Object classes.
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UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
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A Console-based BitTorrent Client with built-in scheduler for handling multiple sessions. It is designed to manage sessions in queue easily without heavy-weight GUI. External module can search for new torrents in trackers and submit it automatically.
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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.
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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.
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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.
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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.
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JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.
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a 3d replacement for mosix's boring text based mon program. Interaces with gomd (www.nonngu.org/gomd) so you dont have to run this big openGL app on your cluster, just a handy server.
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The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
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The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
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java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
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Momoko is a framework for developing distributed, multi-user, network-aware applications. It includes facilities for storing objects in a tree structure, a shell for manipulating the object database, orthogonal persistence, scripting support, and a trans
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Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.
