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OpenGeoPoint is server for aggregation and processing of geolocation data. It build with parallel processing in mind. It could be used in standalone mode or as part of enterprize application. It catches data grom trackers and navigators(GPS/GLONASS).
GridSim allows modeling and simulation of entities in parallel and distributed computing systems such as users, applications, resources, and resource brokers/schedulers for design and evaluation of scheduling algorithms. http://www.gridbus.org/gridsim
Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
GCC UPC provides a compilation and execution environment for programs written in the UPC (Unified Parallel C) language. The GCC UPC compiler extends the capabilities of the GNU GCC compiler.
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A modest extension to C, XMTC allows representing parallel (PRAM) algorithms as parallel programs, and run XMTC code using a compiler and cycle accurate simulator of the University of Maryland explicit multi-threaded (XMT) many-core architecture.
This C++ and Qt based project provides an easy way to control the step motor boards PAO-3M and SMK-4M-4A from Grummes Elektronik GmbH from within your own application. Interfacing is done using the LPT parallel port.
This is a development code for computer science research. It implements a solver for compressible gas dynamics. The code is distributed-memory parallel using MPI and data-parallel using the OpenCL framework.
Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
This is an ANSI c compliant library for state machine use. It uses very fast algorithms and includes many features: nested state, history state, parallel state mechanisms and debug capabilities.
PARAMESH is a package of Fortran 90 subroutines designed to provide an
application developer with an easy route to extend an existing serial
code which uses a logically cartesian structured mesh into a parallel
code with adaptive mesh refinement(AMR).
Roomy is a programming language extension for writing parallel disk-based applications. All details of parallelism and disk I/O are hidden within the Roomy library.
HenPlus is a SQL shell that can handle multiple sessions in parallel. The commandline interface with the usual history functions features TAB-completion for commands, tables and columns. Database connect via JDBC.
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
Metatest is an integration and load testing framework. It's designed to run different test engines, run tests in serial or parallel, retarget tests (e.g. test DEV, then test UAT), vary test load, support continuous integration, and more!
Libuzic is a free software used to manage the teams sport's clubs. It can be used to manage different clubs and teams in parallel. The main functionalities are the creation of notices, e-mail sending, the follow-up for the matches and trainings,..
CorporAl implements a method for processing overlapping corpora. The current version supports parallel corpora. It works by aligning the corresponding language parts and then aligning the alignments between themselves.
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
The PTask library aims to simplify the implementation of parallelized algorithms. The base concept is to define descriptions of your algorithms with their parallel and serial sections and then execute them on a fixed number of worker threads.
Implementation of paralell partitioning algorithms achieving an optimal number of comparisons. See L. Frias and J. Petit. Parallel partition revisited. http://dx.doi.org/10.1007/978-3-540-68552-4_11 for further reference.