dispy

dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a...

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dispy is a python framework for parallel execution of computations by distributing them across multiple processors on a single machine (smp), among many machines in a cluster or grid. dispy is well suited for data parallell (simd) paradigm where a computation is evaluated with different (large) datasets independently (similar to hadoop, mapreduce). dispy features include automatic distribution of computations and their dependencies (files, python functions, classes, modules), security, scheduling computations to specific nodes if necessary, clientside and serverside fault recovery, sharing of compute nodes if desired, etc.

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Distributed Computing Parallel Computing

The Best 4 dispy Alternatives

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Apache Hadoop

Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license.

Free Open Source Mac OS X Windows Linux
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asyncoro

asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous completions and coroutines. Asynchronous completions implemented in...

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Disco MapReduce

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm and written in Python.

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dispy

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The Best 4 dispy Alternatives

Apache Hadoop

asyncoro

Disco MapReduce

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