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1

dispy

Distributed and Parallel Computing with/for Python.

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.

3 Reviews

Downloads: 0 This Week

Last Update: 2022-10-06
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2

JPPF

The open source grid computing solution

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.

17 Reviews

Downloads: 0 This Week

Last Update: 2018-09-17
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3

Aorta p2p Tasklet cluster

Generic clustering/load-balancing platform (over a LAN or internet) using java based P2P Aorta workers that execute java "tasklets". Various tasklets can be implemented to solve fractals, process images, render webpages, crack RSA "brute force".

Downloads: 1 This Week

Last Update: 2012-12-07
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4

MassiveJava

MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche

Downloads: 0 This Week

Last Update: 2013-02-25
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