Showing 62 open source projects for "parallel"

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  • 1
    nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.
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  • 2
    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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  • 3
    PyGWA is a GPGPU library for Python. It contains Python bindings for AMD CAL and PyGWA.DP - a toy data-parallel programming API.
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  • 4
    The PyAALib-JyAALib project is a Python-Java/Jython implementation of the Asynchronous Action Framework based on Pure Object Oriented Concepts. The Massive Parallel Framework in Python Language - Full Compatible with Jython-JAVA
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  • 5
    Python module to allow native (C) support to control the Parallel Port on Windows and Linux
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  • 6
    PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
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  • 7
    Executable UML command-line interpeter and metamodel. Intended future import-export compatibility for proprietary xtUML and iUML metamodels and model compilers. Emphasis on analysis/implementation separation and parallel processing implementations.
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  • 8
    Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.
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  • 9
    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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  • 10
    "Pythonic" is a collection of Python extensions, modules, and software. Independent modules include abstract data types (adt), a massively parallel discrete event simulator (lramm), and a python messaging service (pms).
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  • 11
    The Minions programming language makes it easy to write performant, highly parallel programs. Minions are especially good at web apps. Minions like the web.
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  • 12
    The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).
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