Search Results for "parallel-sudoku-solver" - Page 8
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Showing 339 open source projects for "parallel-sudoku-solver"
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The IOR software is used for benchmarking parallel file systems using POSIX, MPIIO, or HDF5 interfaces. NOTE: Future releases are being hosted at https://github.com/chaos/ior
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PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.
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Easy to use download manager written in Java, which can be used as a standalone application or embedded as an Applet. Supports multiple parallel downloads, downloads in chunks, resuming downloads, auto-retries after errors and a customizable UI.
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Parallel and atomic backup utility with web-based management. Written in PHP for simplicity in modifying and extending the framework. Multithreads not-so-multithreaded processes like rdiff-backup, rsync and SSH to decrease backup windows.
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BSPonMPI is an implementation of the BSPlib standard on top of MPI. Both MPI and BSPlib are API's of communication routines meant for parallel computing, but BSPlib is easier to learn and its performance easier to predict.
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Universal sw mgmt tool optimized for best resource usage. In SW mgmt, sw is organized in packages with dependencies. Process consists of more tasks, using different resources: net, CPU UniPkg runs tasks in parallel with optimal usage of resources.
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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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Numerical package Parallel EXECution. Using a numerical package like Octave, 'npexec' distribute computation of a math formula among various network elements, collecting result automatically. ->y=npexec('fft(x.^m)', 'm=-8:8','x=ARG');
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OpenSpace 2010 is an free and opensource developpement environment, wich include a sysadmin-targeted module, and a embedded developpement module. Developpers welcome.
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fpsc is a Fast Parallel Stream Compressor. It can use multiple CPUs to compress (gzip or bzip2) a data stream. (from stdin to stdout) It is built to achieve maximum throughput, everything else (especially memory usage) can be sacrified.
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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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Software for controlling vending machines. Allows users to preload credits to their user accounts and use them to buy various goods from one or more vending machines connected to computer via parallel port relay interface.
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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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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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There are a lot of create command line tools out there. But many of them are only using one core of a multicore system. With the parallel runner tools you can easyly start one application per core.
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pdo allows users to run SSH commands on multiple remote hosts in parallel, or run commands (such as rsync etc.) locally against multiple remote hosts in parallel.
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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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Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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The Application Agent (AA) is a software providing the platform and mechanism for the distributed/parallel applications to interact and negotiate with the underlying grid resource infrastructure such as Condor and SGE on one-to-one and dynamic basis.
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NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in R. It allows users to write parallel programs in R easily.
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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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parallelize: a simple shell command parallelizer. Run a batch of single-threaded CPU-intensive tasks, by piping a list of commands to stdin. The only argument is the number of simultaneous processes to run.
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Open FMM ( http://www.openfmm.net ) is and open source EM software project. It consist of a fast parallel two-dimensional TM/TE solver called Nero2d.
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hardware log monitor that will display log behaviour via various hardware (parallel port, USB devices, ...). You can specify pattern(regexp) in log(s) on which hardware will turn on. It has also some unique ways of visualization of log files.
