Showing 5 open source projects for "parallel desktop"

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  • 1
    As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).
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  • 2
    optpack

    optpack

    FE simulation based automatic global optimisation in modern Fortran

    A collection of Fortran 2003, 90 and 77 routines, modules and programs for automatic simulation based global constrained optimisation. The initial application is for FE simulation of elasto-plastic buckling of steel rods aimed at tuning the hardening model. Unix shell scripts are used extensively. High concurrency is achieved with parallel multi-start global search and with parallel MPI FE. Powell's BOBYQA or LINCOA are used (not included in this package). Automatic mesh generation of 3D...
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  • 3

    runjags

    The 'runjags' R package and standalone JAGS extension module

    This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A...
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  • 4
    OPar

    OPar

    OPen ARchitecture PARallel PARticle code

    NOTICE: The current version of OPar is hosted on GitHub https://github.com/holgerschmitz/Opar This repository on Sourceforge is no longer maintained! OPar is an open architecture Particle-In-Cell (PIC) code for plasma simulations. The code is based on the Schnek framework.
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  • 5

    SPSens

    Stochastic parameter sensitivity analysis for chemical networks

    SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the...
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