Showing 473 open source projects for "parallel"

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  • 1
    On open source MPI implementation of parallel bucket sorting. This implementation is scalable and gives linear speedup on SGI(Altix). The program sorts at using the bits and hence is stronger than other sorters which make assumptions about keys.
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  • 2
    A framework for doing asynchronous socket communications - useful for connecting to a large number of hosts in parallel from a single thread. Builds on top of Java NIO library and hides all socket, buffer details.
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  • 3
    Meerkat is a distributed programming environment. It consists of a virtual machine which is suited to parallel processing. The data model is based on the concept of actors, although it is much more permissive than the traditional description.
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  • 4
    Simple text editor for editing multiple language files in parallel. Corresponding translations are automatically highlighted in order to aid reviewing against multiple sources. Supports gettext PO and key = value format. Highly recommended for polyglots.
    Downloads: 0 This Week
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  • 5
    DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
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  • 6
    Library is a C++ wrapper for libcURL. It adds multi-threading support, jobs based parallel request processing and high level class encapsulation.
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  • 7
    LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
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  • 8
    Parallel multithreaded programming language based on ANSI C. Easy to use, comes with a compiler and a runtime system.
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  • 9
    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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  • 10
    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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  • 11
    42 has six primary goals: foster extreme code reuse; run faster than C; compile to both software and hardware; run faster on reconfigurable computers; support parallel programming; and allow users to extend the language.
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  • 12
    The intention of this project is to develop a library and framework which enables Java applications to use multicore processors. Several Ideas to help developers are as follows: Parallel For Work-Stealing Profiler for Parallel Applications ...
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  • 13
    A Java library that provides accelerated downloads of HTTP/HTTPS URIs via the GET and POST methods. Works similar to download managers as requests are made in parallel and chunked for speed.
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  • 14
    A fast, reliable parallel build system. Linux/Unix/Mac OS X compatible.
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  • 15
    The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
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  • 16
    This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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  • 17
    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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  • 18
    The idea is to design simple computers, comparable to vintage homecomputers, large numbers of which are simulated on a PC in parallel. The machines connect to each other, with the goal of seeing efficient structures grow spontaneously, like crystals.
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  • 19
    A GUI comparison tool that automates diffs detection between versions. You can record and play scenarios on two different releases of the same app (in sequential or parallel mode); jDiffChaser compares both screens and shows you the differences.
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  • 20
    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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  • 21
    A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
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  • 22
    pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
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  • 23
    This is an academic project; the main objective is to generate an algorithm to parallelize a CNF formula and then feed the distributed parts to sequential SAT solvers, for this project we have choose to use Sat4J as the solver.
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  • 24
    Adds a new Controller to JMeter, supporting the definition of probabilistic user behavior. Moreover, it enables the variation of the number of active parallel user sessions (threads) during test run to be specified by configurable mathematic formulae.
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  • 25
    QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
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