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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=scientific+computing">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=scientific+computing]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for scientific computing]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/82/High-Performance-Scientific-Computing-for-Large-Scale-Biomolecular-simulations-on-Blue-Gene-L-supercomputer"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/508/Scientific-Services-on-the-Cloud"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/122/Knowledge-sharing-on-the-Semantic-Web"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows with Provenance Equivalence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence</link>
  <description><![CDATA[Reproducibility of results is a key tenet of science.  Some modern scientific domains, such as Earth Science, have become computationally complicated and, particularly with the advent of higher resolution space based remote sensing platforms, tremendously data intensive.  Over the last few decades, these complexities along with the the rapid advancement of the state of the art confound the goal of scientific transparency.

We explore concepts of data identification, organization, equivalenc...]]></description>
  <dc:date>2011-02-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/82/High-Performance-Scientific-Computing-for-Large-Scale-Biomolecular-simulations-on-Blue-Gene-L-supercomputer">
  <title><![CDATA[High Performance Scientific Computing for Large Scale Biomolecular simulations on Blue Gene/L supercomputer]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/82/High-Performance-Scientific-Computing-for-Large-Scale-Biomolecular-simulations-on-Blue-Gene-L-supercomputer</link>
  <description><![CDATA[This talk will cover the following topics:

 

 History of the Blue Gene Program.

 Overview of the Blue Gene/L hardware and software

 Blue Matter application overview: A scalable Molecular Dynamics framework for Blue Gene/L supercomputer

 Blue Gene science overview:  Protein folding mechanisms, membrane bound systems etc.]]></description>
  <dc:date>2005-03-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/508/Scientific-Services-on-the-Cloud">
  <title><![CDATA[Scientific Services on the Cloud]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/508/Scientific-Services-on-the-Cloud</link>
  <description><![CDATA[Scientific Computing was one of the first every applications for parallel and distributed computation. To this date, scientific applications remain some of the most compute intensive, and have inspired creation of petaflop compute infrastructure such as the Oak Ridge Jaguar and Los Alamos RoadRunner. Large dedicated hardware infrastructure has become both a blessing and a curse to the scientific community. Scientists are interested in cloud computing for much the same reason as businesses and...]]></description>
  <dc:date>2010-09-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System">
  <title><![CDATA[Provenance Tracking in an Earth Science Data Processing System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System</link>
  <description><![CDATA[NASA and other organizations involved with climate research have captured huge archives of earth observations. The sensors, spacecraft, and science algorithms for transforming and analyzing the data and the processing frameworks are evolving over time. Science Data Processing Systems (SDPSes) should capture, archive, and distribute provenance information of all externally received data and algorithms, as well as describing all internal processes used for data transformation.  This will make t...]]></description>
  <dc:date>2008-06-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/122/Knowledge-sharing-on-the-Semantic-Web">
  <title><![CDATA[Knowledge sharing on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/122/Knowledge-sharing-on-the-Semantic-Web</link>
  <description><![CDATA[A presentation given at the Department of Homeland Security
Advanced Scientific Computing Program 
Text Analysis Workshop which was held on 
May 25-26, 2005 at the 
Hilton Alexandria Old Town in
Alexandria, VA.]]></description>
  <dc:date>2005-05-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/155/Knowledge-sharing-on-the-Semantic-Web">
  <title><![CDATA[Knowledge sharing on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/155/Knowledge-sharing-on-the-Semantic-Web</link>
  <description><![CDATA[Slides for a talk given at the 
Text Analysis Workshop  organized by the Department of Homeland Security, Advanced Scientific Computing Program  on 
25 May 2005.]]></description>
  <dc:date>2005-05-25</dc:date>
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