Showing 42 open source projects for "high performance computing"

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  • 1
    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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  • 2
    DReAMSim

    DReAMSim

    Dynamic Re-configurable Autonomous Many-task Simulator

    DReAMSim provides a simple simulation framework for modeling homogeneous and/or heterogeneous (re)-configurable processing elements in a large-scale distributed environment. In particular, DReAMSim enables users to model task scheduling techniques at a preliminary design stage in order to investigate their performance potential. The simulation framework makes it easy to extract various performance and resource utilization related statistics to study the behavior of different task...
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  • 3
    Bio.Cairn
    Bio.Cairn is a library of highly-configurable high-performance modules to support numerical simulators for biological processes. Written in ANSI-standard C++, it makes extensive use of template metaprogramming and the BOOST libraries.
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  • 4
    A high-performance simulation package for sampling the chemical and reaction-diffusion master equations. Primarily intended for running stochastic simulations of microbial cells.
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  • 5
    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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  • 6
    The SIMP/STEP platform provides a fast, efficient, portable abstract framework for interactive and scripted cellular automata and lattice gas computing in the Python environment. SIMP provides a high-level 'programmable matter' laboratory built on
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  • 7
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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  • 8
    Biomecanica Computacional U-America
    Investigacion de diseño avanzado en biomecanica computacional con elementos finitos usando herramientas de software-libre.
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  • 9
    GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
    Downloads: 1 This Week
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  • 10
    Crimild Engine is an open source scene graph based engine which purpose is to fulfil the high-performance requirements of typical multi-platform two and tridimensional multimedia projects, like games, simulations and virtual reality.
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  • 11
    CWSNet is an object-oriented library for hydraulic simulation of pressurised pipe networks. It can be easily extended by adding new elements, hydraulic solvers and algorithms while providing high computational performance.
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  • 12
    VT-Layer is a Java library for discrete-event simulation modeling. VT-Layer allows you to create, visualize, and analyze high-performance discrete-event simulations.
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  • 13
    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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  • 14
    A High Performance 3D engine and Game engine, specially designed for Physics and mechanical simulations.Integrates physics, Portal Rendering, OpenGL and Cg shaders.
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  • 15
    RangeSim is a collection of classes for simulating distributed protocols for range search on P2P (peer-to-peer) network environments. It is based upon the PeerSim simulator, which offers easy configuration, extendability and high performance.
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  • 16
    Library for the simulation of high-performance processors. The goal is to provide an environment for testing new hardware solutions. See Doxygen doc in "CVS browse" for more info.
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  • 17
    videonetwork

    videonetwork

    A simulator for self-organizing video replication and more

    ...The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).
    Downloads: 0 This Week
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