Changes between Version 44 and Version 45 of WikiStart

Show
Ignore:
Timestamp:
03/14/17 15:48:09 (8 years ago)
Author:
bartek
Comment:

--

Legend:

Unmodified
Added
Removed
Modified

  • WikiStart

    v44 v45  
    11= MUSCLE 2 = 
    2 The MUSCLE2 development has been moved to !GitHub. In order to get the recent code please refer to https://github.com/psnc-apps/muscle2.  
     2[[Image(http://apps.man.poznan.pl/trac/muscle/attachment/wiki/WikiStart/muscle_overview_vertical.png?format=raw,nolink,align=right,margin-left=35)]] The MUSCLE2 development has been moved to !GitHub. In order to get the recent code please refer to https://github.com/psnc-apps/muscle2.  
    33 
    4 [[Image(http://apps.man.poznan.pl/trac/muscle/attachment/wiki/WikiStart/muscle_overview_vertical.png?format=raw,nolink,align=right,margin-left=35)]] MUSCLE 2 - The Multiscale Coupling Library and Environment is a portable framework to do multiscale modeling and simulation on distributed computing resources. The generic coupling mechanism of MUSCLE is suitable for many types of multiscale applications, notably for multiscale models as defined by the [[http://www.mapper-project.eu/|MAPPER project]] or complex automata as defined in  
     4MUSCLE 2 - The Multiscale Coupling Library and Environment is a portable framework to do multiscale modeling and simulation on distributed computing resources. The generic coupling mechanism of MUSCLE is suitable for many types of multiscale applications, notably for multiscale models as defined by the [[http://www.mapper-project.eu/|MAPPER project]] or complex automata as defined in  
    55the [[http://www.complex-automata.org/|COAST project]]. Submodels can be implemented from scratch, but legacy code can also be used with only minor adjustments. The runtime environment solves common problems in distributed computing and couples submodels of a multiscale model, whether they are built for high-performance supercomputers or for local execution. MUSCLE supports Java, C, C++, Fortran, Python, MATLAB and Scala code, using MPI, OpenMP, or threads. 
    66