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  <title>EMEWS: Extreme-scale Model Exploration with Swift</title>
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        <h1>EMEWS: Extreme-scale Model Exploration with Swift</h1>
        <p>
          As high-performance computing resources have become increasingly available,
          new modes of computational processing and experimentation have become possible.
           The Extreme-scale Model Exploration with Swift (EMEWS)
           framework enables the direct integration of multi-language model exploration (ME) algorithms
           while scaling dynamic computational experiments to very large numbers (millions)
           of models on all major HPC platforms. EMEWS has been designed for any "black box"
           application code, such as agent-based and microsimulation models or training of machine learning models,
           that require multiple runs as part of heuristic model explorations. One of the main goals of EMEWS is to
           democratize the use of large-scale computing resources
           by making them accessible to more researchers in many more science domains.
           EMEWS is built on the <a href="http://swift-lang.org/Swift-T/">Swift/T</a>
            parallel scripting language.
        </p>
        <br/>

        <h2>EMEWS Tutorial</h2>
        <p>
          The new <a href="https://emews.org/emews-tutorial">EMEWS tutorial</a> is the primary resource for using EMEWS. Note that
          it is currently a work in progress.
        </p>
          <p>
            <a href="https://emews.org/emews-tutorial"><img src="images/EMEWS_figure_trans.png" width="50%" style="left; "></a>
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            <br/>
        <p>
          The previous EMEWS tutorial, which does <b>not</b> include EMEWS DB, can be found <a href="http://www.mcs.anl.gov/~emews/tutorial/">here</a>.
        </p>
        <br/>
        
        <h2 >EMEWS Resources</h2>
        <p>
          For additional EMEWS resources, see the <a href="./resources.html">resources</a> page.
        </p>
        <br/>
        <h2>EMEWS Papers</h2>
        <p>
          For EMEWS papers, see the <a href="./papers.html">papers</a> page.
        </p>
        <br/>
        <h2>EMEWS Support</h2>
        <p>
          For support, including EMEWS mailing list information, see the <a href="./support.html">support</a> page.
        </p>
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    <p><a target="_blank" href="https://github.com/emews">EMEWS on github</a></p>
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    <p>The EMEWS project is supported by the National
      Institute of General Medical Sciences (R01GM115839), National Institute
      on Drug Abuse (R01DA039934), National Institute on Aging (R01AG047869) of the National
      Institutes of Health, and the National Science Foundation under Grants
      DEB1516428 and 2200234. The content is solely the responsibility of the authors
      and does not necessarily represent the official views of the National
      Institutes of Health or the National Science Foundation.
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