Search Results for "parallel-sudoku-solver" - Page 4
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Showing 96 open source projects for "parallel-sudoku-solver"
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SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks.
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Brahma is an open-source library written for the .NET 3.5 framework (in C# 3.0), to provide high-level access to parallel streaming computations on a variety of processors, including GPUs.
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NimpSmartCard is a framework to interact with smart cards through PC/SC readers as well as test/production readers such as Micropross and Smartware. The framework comes with sample tasks and a sample terminal manager which supports scripts and logs
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MORP (Module Orientated Robotic Programming) is a framework bringing base implementations in order to easily connect modules such as a NXT or Bioloid Robot. It provides its own scripting languages called 'morp' dedicated to robot programming.
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Parallelizable is a tiny framework in complement for java.util.conccurent api. Parallelizable is an abstract class to extend for making asynchronous parallel execution on a synchronous task. Very usefull if task often calls a very long process.
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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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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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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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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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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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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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Dynamic Probe Class Library (DPCL) is an object based C++ class library that provides the necessary infrastructure to allow tool developers and sophisticated tool users to build parallel and serial tools through technology called dynamic instrumentation.
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FastPara is a C++ programming framework for writing data-parallel applications in cluster environments. It builds the code framework for the data-parallel applications based on their data distribution declaration.
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JSpasm is a pure Java package for developing event-driven, state-based software applications and packages. This small-footprint package will handle multiple models and large numbers of entities in parallel, and includes features to support SMP operation.
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A small but extensible Java based "embedded lisp"- derives from the 1960 Mc Carthy Lisp a new consequently functional, dynamically scoped dialect enriched by modern features (pattern matching, parallel processing, implicit lex. closures etc).
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laetus-framework
C++ Parallel Framework
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JQFramework is a set of classes designed to ease the production of highly parallel code in C#, for use on multi-processor systems and/or grid and cloud computing.
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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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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
