Search Results for "processing"

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.

EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.

This application generates mandelbrot & julia fractals using parallel processing.

A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.

Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.

The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)

SJSK is collection of daemons for batch processing on multiple machines.