Showing 73 open source projects for "parallel"

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  • 1

    cupSODA

    Deterministic simulator of mass-action based models

    cupSODA is a simulator of biological systems that exploits the remarkable memory bandwidth and computational capability of GPUs. cupSODA allows to efficiently execute in parallel large numbers of simulations, which are usually required to investigate the emergent dynamics of a given biological system under different conditions. cupSODA works by automatically deriving the system of ordinary differential equations from a reaction-based mechanistic model, defined according to the mass-action kinetics, and then exploiting the numerical integration algorithm, LSODA
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  • 2
    MicroModelicaVirtualNodes
    ...This tool performs Virtual Nodes Parallelization on a given MicroModelica model for being simulated in QSS Solver. The objective is to reduce the error introduced by simulating large-scaled models in parallel on QSS Solver simulating tool. This is done through redundant computations on certain state variables of the model. These redundant computations are called Virtual Nodes.
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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. ...
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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The current version of OPar is hosted on GitHub https://github.com/holgerschmitz/Opar This repository on Sourceforge is no longer maintained!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

    SWIFT

    SPH With Inter-dependent Fine-grained Tasking

    Shared-Memory Parallel Smoothed Particle Hydrodynamics (SPH) code for large-scale cosmological simulations.
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  • 6

    Folder

    Toolbox for modelling deformation in layered media in 2D

    Folder is a tool to simulate and analyse the development of structures in mechanically layered media during layer parallel shortening or extension. It includes a graphical user interface that allows for easy designing of complex geometrical models, defining material parameters (including linear and non-linear rheology), and specifying type and amount of deformation. It also includes a range of features that facilitate the visualization and examination of various relevant quantities e.g. velocities, stress, rate of deformation, pressure, and finite strain. ...
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  • 7

    ViennaWD

    Classical and quantum semiconductor device simulation

    The ViennaWD package provides a selection of simulation tools supporting classical and quantum approaches for semiconductor device simulation.
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  • 8

    neuranep

    Neural Network Engineering Platform

    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells.
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  • 9
    fPotencia

    fPotencia

    Power flow library in C++

    ...After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base circuit. fPotencia is programmed in C++, but my intention is to bring JAVA, C#, Python and perhaps MATLAB versions of it. All of them in native code and whenever possible with the same modular structure.
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  • 10
    MDcore is an Open-Source library implementing the core functionality of a Molecular Dynamics engine. The engine is inherently multi-threaded and runs efficiently on multi-processor/multi-core shared-memory architectures.
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  • 11
    piv_clustering

    piv_clustering

    structural clustering of atomic trajectories based on PIV

    This program allows to perform a structural cluster analysis of atomic trajectories obtained, e.g., from molecular dynamics simulations. At variance with other approaches, it is possible to analyse also processes in solution, e.g., chemical reactions in liquid water, since the distance metric is based on a Permutation Invariant Vector (PIV) that is symmetric under exchange of identical atoms or molecules, including on the same footing both solute and solvent degrees of freedom. The...
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  • 12
    A parallel system simulator kernel that support ultra-large scale computer system simulation.
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  • 13

    BriCS

    SaaS for running simulation models in the cloud

    The Bristol Cloud Service simulation runner is a cloud computing Software as a Service designed to enable users to quickly launch simulation code on Amazon AWS' Elastic Compute Cloud (EC2). BRiCS is written in Python using the Django framework and interacts with EC2 using the boto API. BriCS enables multiple simulation runs to be launched in parallel from a web browser. Model configuration (parameters) files are uploaded via the browser and results files are downloadable on completion. BriCS enables researchers with software simulation models to access the rapid scale out opportunities of the cloud. Why wait days or weeks for a series of trials to complete when you can run them in parallel in the time it takes to complete one?
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  • 14
    FlowVR
    FlowVR is an open source middleware tailored for high performance in situ data processing and analytics running on large parallel machines
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  • 15
    LARA

    LARA

    Lightweight Architecture for boundedly Rational Agents

    For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged...
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  • 16
    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. Each microthread is conceptually similar to a task in Ada and it is much lighter weight than an operating system thread. SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons.
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  • 17

    ParallelSim

    ParallelSim is a parallel processor simulator written in java.

    ParallelSim is a parallel processor simulator written in Java which shows the effect of increasing the workload keeping the number of processing elements constant in one simulation. The number of processors is scalable and can be increased in subsequent iterations of simulation. The parameters like initial load, load offset, number of processors are declared as constants and can be changed directly in the source code to emulate different scenarios.
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  • 18
    parFE is fully-parallel high-performance finite element code targeted to the modeling of trabecular bones in humans. It employs scalable multigrid solvers for efficient solutions on massively parallel computers.
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  • 19

    SPSens

    Stochastic parameter sensitivity analysis for chemical networks

    ...Additionally the package includes basic stochastic simulation algorithms. The package includes several example networks which can be easily modified for other networks. Serial and parallel MPI implementations can be built and called from the command line. The serial implementation of the package can also be called from Matlab via the MEX interface with limited functionality. It supports many user specified options, including the use of antithetic sampling that can be used in some cases to increase efficiency.
    Downloads: 0 This Week
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  • 20
    caseGen

    caseGen

    ... [BATCH], [ANALYZE] and [OPTIMIZE] cases in OpenFOAM and others

    'caseGen' allows you to simplify your numerical simulation problem! Actual its not fairly tested so please contact me if you see any refinements or found bugs.
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  • 21

    AMESProject

    A "simple but not too simple" laboratory for wholesale power markets.

    ...Federal Energy Regulatory Commission (FERC) in an April 2003 white paper [FERC 2003] encompasses the following core features: 1. Central management by an independent market operator. 2. A two-settlement system consisting of a day-ahead market supported by a parallel real-time market to ensure continual balancing of supply and demand for power. 3. Management of grid congestion by means of locational marginal pricing (LMP), i.e., the pricing of power by the location and timing of its injection into, or withdrawal from, the transmission grid. 4. market power oversight and mitigation.
    Downloads: 0 This Week
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  • 22
    Tina's Random Number Generator Library (TRNG) is a state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations.
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  • 23
    libCL
    libCL is an open-source library for high performance computing in OpenCL. The goal is to provide a comprehensive repository of parallel algorithms and data structures for visual-centric computing.
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  • 24
    This is a flexible, extendable, parallel, and distributed supply chain simulator, which creates large scale test data sets for Design Science Projects, especially for large scale EPC systems.
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  • 25
    The goal of project "defE" is to build a library to handle the simulation of the transformation and collision about deformable geometry using the sphere-spring system. It uses CUDA to deal with the enormous mount of parallel computable calculation.
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