[Swift-commit] r8398 - www/Swift-T
wozniak at ci.uchicago.edu
wozniak at ci.uchicago.edu
Thu Mar 19 13:18:15 CDT 2015
Author: wozniak
Date: 2015-03-19 13:18:14 -0500 (Thu, 19 Mar 2015)
New Revision: 8398
Added:
www/Swift-T/alcf.html
Log:
Adding alcf.html
Added: www/Swift-T/alcf.html
===================================================================
--- www/Swift-T/alcf.html (rev 0)
+++ www/Swift-T/alcf.html 2015-03-19 18:18:14 UTC (rev 8398)
@@ -0,0 +1,847 @@
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+<body class="article" style="max-width:750px">
+<div id="header">
+<h1>The Swift Parallel Scripting Language for ALCF Systems</h1>
+<div id="toc">
+ <div id="toctitle">Table of Contents</div>
+ <noscript><p><b>JavaScript must be enabled in your browser to display the table of contents.</b></p></noscript>
+</div>
+</div>
+<div id="content">
+<div class="sect1">
+<h2 id="_introduction">1. Introduction</h2>
+<div class="sectionbody">
+<div class="paragraph"><p>Swift is an implicitly parallel functional language that makes it
+easier to script higher-level applications or workflows composed from
+serial or parallel programs. Recently made available across ALCF
+systems, it has been used to script application workflows in a broad
+range of diverse disciplines from protein structure prediction to
+modeling global agriculture to processing data from APS beamline
+experiments.</p></div>
+<div class="paragraph"><p>Swift scripts can be written with little or no experience in parallel
+programming, enabling more scientists and engineers to leverage and
+integrate parallel systems such as ALCF systems, XSEDE resources,
+campus clusters, and clouds. It automates high-level parallelization,
+data movement, and failure recovery.</p></div>
+<div class="paragraph"><p>On ALCF systems, Swift can be used to automate workflows that run
+large ensembles of smaller parallel programs within Blue Gene/Q
+subjobs; to automate workflows between multiple ALCF systems and
+external resources or data servers; and to compose very high
+performance applications running within a single large Blue Gene/Q job
+on Mira. Swift workflows can be launched on all these systems through
+the Galaxy web-based workflow management interface.</p></div>
+<div class="sect2">
+<h3 id="_additional_information">1.1. Additional information</h3>
+<div class="paragraph"><p>It’s easy to get started with Swift on ALCF resources, as it is
+already installed in public locations and is maintained by ANL staff.</p></div>
+<div class="paragraph"><p>Swift/T is a programming language that allows users to rapidly
+construct highly scalable applications from snippets of existing
+application code. Swift/T does not require MPI programming; the
+Swift/T system generates an MPI program from a high-level script.</p></div>
+<div class="paragraph"><p>An overview of Swift/T may be found here:</p></div>
+<div class="paragraph"><p>swift-lang.org/Swift-T</p></div>
+<div class="paragraph"><p>The Swift/T language guide may be found here:</p></div>
+<div class="paragraph"><p>swift-lang.org/Swift-T/guide.html</p></div>
+<div class="paragraph"><p>Swift/T is already installed on ALCF systems. See the usage notes
+here:</p></div>
+<div class="paragraph"><p><a href="http://swift-lang.org/Swift-T/turbine-sites.html#_blue_gene_q">http://swift-lang.org/Swift-T/turbine-sites.html#_blue_gene_q</a></p></div>
+<div class="paragraph"><p>An example use on Mira is:</p></div>
+<div class="listingblock">
+<div class="content">
+<pre><code>PATH=/home/wozniak/Public/sfw/stc/bin:$PATH
+edit myprogram.swift
+swift-t -m cobalt -n 2 myprogram.swift</code></pre>
+</div></div>
+<div class="paragraph"><p>Just edit your Swift program and run! The <code>swift-t</code> program compiles
+and submits your job to Cobalt, reporting a job ID. Swift/T requires
+at least 2 processors.</p></div>
+<div class="paragraph"><p>Swift/T allows you to link your application code with it to create
+massive concurrency without explicit use of MPI. See the docs for
+more information.</p></div>
+</div>
+</div>
+</div>
+<div class="sect1">
+<h2 id="_swift_t_docs_on_main_wrapping">2. Swift/T docs on main-wrapping</h2>
+<div class="sectionbody">
+<div class="paragraph"><p>If you want to call an existing C program from Swift/T on the BG/Q,
+we provide a simplified procedure called main-wrapping. It
+automatically wraps your C main() function for access by Swift.</p></div>
+<div class="paragraph"><p>See here for more information:</p></div>
+<div class="paragraph"><p><a href="http://www.mcs.anl.gov/~ketan/main-wrap.html">http://www.mcs.anl.gov/~ketan/main-wrap.html</a></p></div>
+</div>
+</div>
+<div class="sect1">
+<h2 id="_swift_k_docs_on_running_subjobs">3. Swift/K docs on running subjobs</h2>
+<div class="sectionbody">
+<div class="paragraph"><p>If you want to call an existing program from Swift, but cannot
+recompile it for use by Swift/T, you may benefit from our subjobs
+mechanism, which allows you to efficiently execute many small jobs
+from within a large Cobalt allocation.</p></div>
+<div class="paragraph"><p>See here for more information:</p></div>
+<div class="paragraph"><p><a href="http://www.mcs.anl.gov/~ketan/subjobs.html">http://www.mcs.anl.gov/~ketan/subjobs.html</a></p></div>
+<div class="paragraph"><p>The analysis cluster (Tukey) allows you to call external programs from
+Swift/T (unlike the minimal BG/Q OS). On these systems, you can use
+Swift/T app functions to rapidly develop a scalable, scripted analysis
+solution.</p></div>
+</div>
+</div>
+<div class="sect1">
+<h2 id="_further_information">4. Further Information</h2>
+<div class="sectionbody">
+<div class="paragraph"><p><a href="http://swift-lang.org/Swift-T/turbine-sites.html#_tukey">http://swift-lang.org/Swift-T/turbine-sites.html#_tukey</a></p></div>
+<div class="paragraph"><p>Primary Contact:</p></div>
+<div class="paragraph"><p>Michael Wilde, <a href="mailto:wilde at anl.gov">wilde at anl.gov</a></p></div>
+<div class="paragraph"><p>Staff Involved:</p></div>
+<div class="paragraph"><p>Michael Wilde, David Kelly, Ketan Maheshwari, Justin Wozniak</p></div>
+<div class="paragraph"><p>Other Collaborators:</p></div>
+<div class="paragraph"><p>Timothy Armstrong, Mihael Hategan, Yadu Nand Babuji, Daniel S. Katz,
+Ian Foster</p></div>
+<div class="paragraph"><p>Funding:</p></div>
+<div class="paragraph"><p>National Science Foundation and US Department of Energy Office of
+Science, with additional support from the National Institutes of
+Health, Argonne National Laboratory and the University of Chicago
+Computation Institute</p></div>
+</div>
+</div>
+</div>
+<div id="footnotes"><hr /></div>
+<div id="footer">
+<div id="footer-text">
+Last updated 2015-03-19 13:15:52 CDT
+</div>
+</div>
+</body>
+</html>
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