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	<title>Caltech Center for Advanced Computing Research &#187; Events</title>
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	<description>...at the forefront of computational science and engineering</description>
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		<title>CACR Seminar: &#8220;Turning Large Simulations into Numerical Laboratories&#8221;</title>
		<link>http://www.cacr.caltech.edu/main/?p=1125</link>
		<comments>http://www.cacr.caltech.edu/main/?p=1125#comments</comments>
		<pubDate>Fri, 05 Apr 2013 22:23:18 +0000</pubDate>
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				<category><![CDATA[Events]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Seminars]]></category>

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		<description><![CDATA[Thursday April 11, 20131:00pmPowell-Booth Room 100&#8220;Turning Large Simulations into Numerical Laboratories&#8221;Alex Szalay, Alumni Centennial Professor, Department of Physics and Astronomy, The Johns Hopkins UniversityThe talk will discuss how large (100TB+) supercomputer-scale simulations can be turned into interactive public laboratories. Examples include simulations of turbulence and various cosmological simulations, soon to reach the PB scale.
]]></description>
			<content:encoded><![CDATA[<p><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">Thursday April 11, 2013</span><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">1:00pm</span><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">Powell-Booth Room 100</span><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">&#8220;Turning Large Simulations into Numerical Laboratories&#8221;</span><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">Alex Szalay, Alumni Centennial Professor, Department of Physics and Astronomy, The Johns Hopkins University</span><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><br style="color: #222222; font-family: arial; font-size: small; line-height: normal;" /><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">The talk will discuss how large (100TB+) supercomputer-scale simulations can be </span><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">turned into interactive public laboratories. Examples include simulations of turbulence </span><span style="color: #222222; font-family: arial; font-size: small; line-height: normal;">and various cosmological simulations, soon to reach the PB scale.</span></p>
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		<title>Time Domain Forum: &#8220;Halo RR Lyrae from the Catalina Surveys&#8221;</title>
		<link>http://www.cacr.caltech.edu/main/?p=1119</link>
		<comments>http://www.cacr.caltech.edu/main/?p=1119#comments</comments>
		<pubDate>Thu, 31 Jan 2013 16:32:49 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Seminars]]></category>

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		<description><![CDATA[Jan 31, 2013 1:00 PM
Keith Spalding 410 
Andrew Drake, CACR
We have performed an extensive search for RR Lyrae among the 500 million sources observed by the Catalina Surveys. We detect ~26,000 type-AB RR Lyrae (of which 20,000 are new discoveries) from a region spanning 3/4 of the sky. By determining accurate distances to the stars, [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Jan 31, 2013 1:00 PM<br />
</span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Keith Spalding 410 </span></p>
<p><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Andrew Drake, CACR</span></p>
<p><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">We have performed an extensive search for RR Lyrae </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">among the 500 million sources observed by the </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Catalina Surveys. We detect ~26,000 type-AB RR </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Lyrae (of which 20,000 are new discoveries) from a </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">region spanning 3/4 of the sky. By determining </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">accurate distances to the stars, we investigate the </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">spatial distribution of structures within the Milky </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Way halo. Combining the RR Lyrae distances with </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">SDSS spectroscopy we are able accurately trace the </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">velocities and metallicities of hundreds of sources </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">within the Sagittarius tidal streams system. We </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">find the first strong evidence for a dense tidal </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">stream that overlaps the Sagittarius system to </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">distances beyond 100kpc, yet remains unexplained by </span><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">any existing model.</span></p>
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		<title>IST Seminar: &#8220;Collaborative Image Analysis with the Masses: Challenges and Opportunities&#8221; Alexandre Cunha</title>
		<link>http://www.cacr.caltech.edu/main/?p=1116</link>
		<comments>http://www.cacr.caltech.edu/main/?p=1116#comments</comments>
		<pubDate>Mon, 28 Jan 2013 20:50:22 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Seminars]]></category>
		<category><![CDATA[biology]]></category>
		<category><![CDATA[image analysis]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=1116</guid>
		<description><![CDATA[Tuesday, January 29th
12:00 &#8211; 1:00pm
105 Annenberg
*Lunch will be provided*
SPEAKER:
Alexandre Cunha
Center for Advanced Computing Research and Elliot Meyerowitz Lab, Caltech
TITLE:
Collaborative Image Analysis with the Masses: Challenges and Opportunities
ABSTRACT:
Extracting reliable quantitative information from digital images in an automatic fashion continues to be a difficult task. In many situations classical and contemporary algorithms only provide partial and sub-optimal results that [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #222222; font-family: arial, sans-serif; line-height: normal;">Tuesday, January 29th</span></p>
<div style="color: #222222; font-family: arial, sans-serif; line-height: normal;">12:00 &#8211; 1:00pm<br />
105 Annenberg</p>
<p>*Lunch will be provided*</p>
<p>SPEAKER:<br />
Alexandre Cunha<br />
Center for Advanced Computing Research and Elliot Meyerowitz Lab, Caltech</p>
<p>TITLE:<br />
Collaborative Image Analysis with the Masses: Challenges and Opportunities</p>
<p>ABSTRACT:<br />
Extracting reliable quantitative information from digital images in an automatic fashion continues to be a difficult task. In many situations classical and contemporary algorithms only provide partial and sub-optimal results that might not be sufficient to carry on research studies thus leading practitioners to rely on manual annotations.  We present our work on collaborative image segmentation, an online crowdsourcing system where computers, experts, and non-experts cooperate to produce robust results supporting the research of plant biologists. We address some of the technical and nontechnical challenges in building such a system and discuss the potential in employing the vision of crowds to help solve image processing problems which are still poorly solved by computers alone.</p>
<p>This is a work in progress in collaboration with Elliot Meyerowitz lab at Caltech and with Tsang Ing Ren lab at UFPE, Brazil.</p></div>
]]></content:encoded>
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		<item>
		<title>CACR Seminar: &#8220;General purpose GPU programming by CUDA—an introductory tutorial&#8221;</title>
		<link>http://www.cacr.caltech.edu/main/?p=1104</link>
		<comments>http://www.cacr.caltech.edu/main/?p=1104#comments</comments>
		<pubDate>Mon, 19 Nov 2012 22:52:59 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Seminars]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=1104</guid>
		<description><![CDATA[Tuesday November 27, 2012
Powell Booth Room 100
1:30PM
&#8220;General purpose GPU programming by CUDA—an introductory tutorial&#8221;Dr. Hailiang Zhang, Caltech Center for Advanced Computing Research (CACR)Abstract:In recent years, various fields of large-scale scientific computationshave greatly benefit from the massively parallel programming.  This talkpresents a brief introduction and tutorial on the state-of-the-artgeneral-purpose GPU programming platform—CUDA.  The GPU devicearchitecture, memory [...]]]></description>
			<content:encoded><![CDATA[<p><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">Tuesday November 27, 2012<br />
</span><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">Powell Booth Room 100<br />
</span><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">1:30PM</span></p>
<p><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">&#8220;General purpose GPU programming by CUDA—an introductory tutorial&#8221;</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">Dr. Hailiang Zhang, Caltech Center for Advanced Computing Research (CACR)</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">Abstract:</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">In recent years, various fields of large-scale scientific computations</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">have greatly benefit from the massively parallel programming.  This talk</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">presents a brief introduction and tutorial on the state-of-the-art</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">general-purpose GPU programming platform—CUDA.  The GPU device</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">architecture, memory hierarchy, and the general CUDA programming model</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">will be introduced.  The CUDA numerical schemes of some vector and matrix</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">operations will be demonstrated as examples.  Some CUDA applications on</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">molecular and biophysical modeling will be presented.  The standard CUDA</span><br style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;" /><span style="color: #222222; font-family: arial, sans-serif; font-size: 13.333333969116211px; line-height: normal;">toolkit libraries and some third party APIs will also be introduced.</span></p>
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		<item>
		<title>Workshop:  &#8220;Looking for Nuggets in Massive Data Streams&#8221;</title>
		<link>http://www.cacr.caltech.edu/main/?p=963</link>
		<comments>http://www.cacr.caltech.edu/main/?p=963#comments</comments>
		<pubDate>Fri, 03 Jun 2011 15:30:13 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Seminars]]></category>
		<category><![CDATA[astronomy]]></category>
		<category><![CDATA[keck institute]]></category>
		<category><![CDATA[workshop]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=963</guid>
		<description><![CDATA[Students, postdoctoral fellows and faculty are invited to attend a Keck Institute for Space Studies (KISS) half-day short course entitled:
&#8220;Looking for Nuggets in Massive Data Streams&#8221;
Tuesday, June 7, 2011
9:00am &#8211; 12:30pm
Hameetman Auditorium, Cahill Building
This short course is being held in conjunction with the KISS study &#8220;Digging Deeper: Algorithms for Computationally-Limited Searches in Astronomy.&#8221;
This series of [...]]]></description>
			<content:encoded><![CDATA[<p>Students, postdoctoral fellows and faculty are invited to attend a Keck Institute for Space Studies (KISS) half-day short course entitled:</p>
<p>&#8220;Looking for Nuggets in Massive Data Streams&#8221;<br />
Tuesday, June 7, 2011<br />
9:00am &#8211; 12:30pm<br />
Hameetman Auditorium, Cahill Building</p>
<p>This short course is being held in conjunction with the KISS study &#8220;Digging Deeper: Algorithms for Computationally-Limited Searches in Astronomy.&#8221;</p>
<p>This series of talks will review some of the tools and techniques used for detection and classification on transient signals in massive data streams in astronomy, e.g., searches for gravitational wave sources, or transient events in synoptic sky surveys.  The focus of this short course is on advanced data mining and statistical techniques and algorithms.</p>
<p>Speakers include:</p>
<p>09:15 &#8211; 10:15  Signal analysis and parameter estimation in gravitational wave astronomy, Badri Krishnan (AEI)<br />
10:15 &#8211; 10:45  Keynote talk:  New Developments in Time Series Analysis, Jeff Scargle (NASA Ames)<br />
10:45 &#8211; 11:15  Coffee break<br />
11:15 &#8211; 11:45  Automated Classification of Transients, Ashish Mahabal (Caltech)<br />
11:45 &#8211; 12:15  Machine Learning applications in Time Domain Astronomy, Pavlos Protopapas (CfA)</p>
<p>The short course will be videotaped and made available on the KISS website within two weeks after the workshop is completed.</p>
<p>Seating is limited and is available on a first come, first served basis &#8211; and no registration is required. An informal lunch is provided for all short course attendees.</p>
<p>Please see <a href="http://www.kiss.caltech.edu">http://www.kiss.caltech.edu</a> for more details.</p>
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		<item>
		<title>IST Seminar &#8211; Mark Stalzer, CACR</title>
		<link>http://www.cacr.caltech.edu/main/?p=914</link>
		<comments>http://www.cacr.caltech.edu/main/?p=914#comments</comments>
		<pubDate>Tue, 02 Nov 2010 15:51:07 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Seminars]]></category>
		<category><![CDATA[architecture]]></category>
		<category><![CDATA[hpc]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=914</guid>
		<description><![CDATA[IST Lunch Bunch
Tuesday November 2, 2010
12:00 PM
105 Annenberg
A (Hypothetical) Data to Discovery Engine
Mark Stalzer, Caltech &#8211; CACR
Description/Abstract:
Moore&#8217;s law works for semiconductor-based detectors and there is an increasing flood of data being generated in astronomy, high energy physics, biology, and other sciences. Computation is essential for both (1) making predictions from theory and (2) the analysis [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.cs.caltech.edu/seminars/lunch_bunch.html">IST Lunch Bunch</a><br />
Tuesday November 2, 2010<br />
12:00 PM<br />
105 Annenberg</p>
<p>A (Hypothetical) Data to Discovery Engine<br />
Mark Stalzer, Caltech &#8211; CACR</p>
<p>Description/Abstract:<br />
Moore&#8217;s law works for semiconductor-based detectors and there is an increasing flood of data being generated in astronomy, high energy physics, biology, and other sciences. Computation is essential for both (1) making predictions from theory and (2) the analysis of data from experiments. Is there a way to architecturally balance both needs in a high performance computing (HPC) system?</p>
<p>HPC systems are typically constructed from easily available parts, just organized differently and scaled to process extreme workloads. The most power efficient petascale machine as of 2010 is Roadrunner at the Los Alamos National Laboratory. Another interesting machine is the Apple iPad which uses very low power System on a Chip/Package on Package technologies. This talk explores the question of “what happens when you cross Roadrunner with iPads”? The result is a high level of integration between computation and storage on a single server blade, called a Flashblade, with 100x-1,000x performance improvements for some data-centric applications. The Flashblade architecture, expected performance, programming, and scaling with advancing technology are discussed.</p>
<p>(See <a href="http://www.cacr.caltech.edu/pubs/?p=496">publication page</a> for PDF link)</p>
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		<item>
		<title>AstroInformatics 2010</title>
		<link>http://www.cacr.caltech.edu/main/?p=864</link>
		<comments>http://www.cacr.caltech.edu/main/?p=864#comments</comments>
		<pubDate>Thu, 10 Jun 2010 19:48:31 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=864</guid>
		<description><![CDATA[
California Institute of Technology
Cahill Center for Astronomy &#38; Astrophysics
Pasadena, CA,  USA &#8211; June 16-19, 2010
CACR is co-sponsoring an international  conference on the emerging field of AstroInformatics. AstroInformatics  is envisioned as a broader intellectual, organizational, and funding  environment, within which Virtual Observatories serve as particular  institutions and provide fundamental functionalities and [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.astro.caltech.edu/ai10"><img class="aligncenter size-full wp-image-866" title="ai10banner" src="http://www.cacr.caltech.edu/main/wp-content/uploads/2010/06/ai10banner.jpg" alt="ai10banner" width="400" height="80" /></a></p>
<p>California Institute of Technology<br />
Cahill Center for Astronomy &amp; Astrophysics<br />
Pasadena, CA,  USA &#8211; June 16-19, 2010</p>
<p>CACR is co-sponsoring an international  conference on the emerging field of AstroInformatics. AstroInformatics  is envisioned as a broader intellectual, organizational, and funding  environment, within which Virtual Observatories serve as particular  institutions and provide fundamental functionalities and  infrastructure.  Our goal is to both empower and engage the astronomy  and applied computer science communities in developing and deploying new  tools and methods, enabled by the computation and information  technologies.</p>
<p>The conference will bring together a broad range of experts in these  and related fields, and address a wide range of topics, including  knowledge extraction from massive and complex data sets, trends in  computing technologies, visualization, novel scholarly communication,  collaboration, education tools and environments, new and emerging  modalities for scientific publishing, community development and  sociological changes prompted by the evolving scientific methodology and  technology, inter-disciplinary connections, etc.  The last day of the  conference will be devoted to the Practical AstroSemantics workshop.</p>
<p>The conference will consist of a small number of invited review  talks, and panel-led discussions.  Talks will be given by several CACR staff members, including Matthew Graham, Santiago Lombeyda, and Mark Stalzer</p>
<p>For more information or to register, visit <a href="http://www.astro.caltech.edu/ai10/">http://www.astro.caltech.edu/ai10</a></p>
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		<item>
		<title>Semantic Astronomy Workshop Call for Papers</title>
		<link>http://www.cacr.caltech.edu/main/?p=210</link>
		<comments>http://www.cacr.caltech.edu/main/?p=210#comments</comments>
		<pubDate>Tue, 16 Dec 2008 16:56:03 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[astronomy]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[VO]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=210</guid>
		<description><![CDATA[Second International Workshop on Practical Semantic Astronomy
2-5 March 2009
Glasgow, UK.
Semantic astronomy promises to expand the scientific discovery potential of exponentially growing data collections by enabling natural language querying, content-based searching, rich metadata markup and retrieval, rapid integration of diverse data collections, and machine-assisted scientific discovery.
Practical Semantic Astronomy 2009 is the second in a series of [...]]]></description>
			<content:encoded><![CDATA[<p><strong><a href="http://www.dcs.gla.ac.uk/workshops/semast09/">Second International Workshop on Practical Semantic Astronomy</a></strong><br />
2-5 March 2009<br />
Glasgow, UK.</p>
<p>Semantic astronomy promises to expand the scientific discovery potential of exponentially growing data collections by enabling natural language querying, content-based searching, rich metadata markup and retrieval, rapid integration of diverse data collections, and machine-assisted scientific discovery.</p>
<p>Practical Semantic Astronomy 2009 is the second in a series of workshops first held at Caltech in February 2008.  The workshop brings together experts from a broad range of disciplines using semantic technologies, alongside practitioners experimenting with these techniques to address current problems in astroinformatics.<span id="more-210"></span></p>
<p>The Virtual Observatory is a loose planet-wide collaboration of astronomy computing projects, aiming to make available the high-volume and rich data of astronomy.  Although astronomical data is generally<br />
well-described, it is very dispersed, so that there is a substantial data-discovery and integration problem, making it fertile ground for the sorts of semantic approaches applied with such success in other<br />
disciplines.</p>
<p>In SemAst 2009, we will pair keynote speakers and astronomical use-cases, focusing broad expertise on challenging and exciting problems in astroinformatics. The keynotes will comprise of:</p>
<ul>
<li>Danny Ayers, Talis, UK</li>
<li>Peter Fox, National Center for Atmospheric Research, USA</li>
<li>Antoine Isaac, Vrije Universiteit Amsterdam, The Netherlands</li>
<li>Amedeo Napoli, LORIA, France</li>
<li>Joel Sachs, University of Maryland, Baltimore County, USA</li>
<li>+1 to be confirmed</li>
</ul>
<p><strong>Topics of Interest</strong></p>
<ul>
<li>Astronomy and solar ontologies</li>
<li>Knowledgebases</li>
<li>Metadata for astronomical databases</li>
<li>Semantic integration</li>
<li>Semantic queries and data mining</li>
<li>Semantic technologies</li>
</ul>
<p><strong>Submission</strong></p>
<p>Submissions should be in the form of an extended abstract of no more than 1 page. Abstracts should be submitted electronically with the <a href="http://www.easychair.org/conferences/?conf=semast09">EasyChair system</a>.</p>
<p><strong>Important Dates</strong></p>
<ul>
<li>Abstract Submissions: 4 January 2009</li>
<li>Paper Notification: 16 January 2009</li>
<li>Early-bird Registration: 31 January 2009</li>
<li>Workshop: 2-5 March 2009</li>
</ul>
<p><strong>Organizers</strong></p>
<ul>
<li>Alasdair J G Gray, University of Glasgow, UK</li>
<li>Norman Gray, University of Leicester/University of Glasgow, UK</li>
<li>Iadh Ounis, University of Glasgow, UK</li>
<li>Jon Ritchie, University of Glasgow, UK</li>
</ul>
<p><strong>Scientific Organizing Committee</strong></p>
<ul>
<li>Norman Gray (Chair), University of Leicester/University of Glasgow, UK</li>
<li>Kirk Borne, George Mason University, USA</li>
<li>Doug Burke, Harvard-Smithsonian Center for Astrophysics, USA</li>
<li>Sebastien Derriere, Observatoire Astronomique de Strasbourg, France</li>
<li>Matthew Graham, California Institute of Technology, USA</li>
<li>Bob Mann, Royal Observatory, Edinburgh, UK</li>
</ul>
<p><strong>Further Information</strong></p>
<p>More information is available from the web site<br />
<a href="http://www.dcs.gla.ac.uk/workshops/semast09/">http://www.dcs.gla.ac.uk/workshops/semast09/</a><br />
or by email to semast09 at dcs.gla.ac.uk</p>
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		<title>CACR Seminar: &#8220;Making and using VO tools to study the QSO distribution&#8221;</title>
		<link>http://www.cacr.caltech.edu/main/?p=98</link>
		<comments>http://www.cacr.caltech.edu/main/?p=98#comments</comments>
		<pubDate>Mon, 03 Nov 2008 17:53:33 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Seminars]]></category>
		<category><![CDATA[astronomy]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=98</guid>
		<description><![CDATA[1:00PM
Monday November 10, 2008
Powell-Booth 100 (Seminar Room)
Giuseppe Longo
Department of Physics &#8211; University Federico II in Naples, Italy
INAF &#8211; Napoli
Due to the huge amount of data gathered by the large optical surveys and by a new generation of space borne experiments, astronomy has become a very data rich science. The exploitation of the huge amount of [...]]]></description>
			<content:encoded><![CDATA[<p><strong>1:00PM<br />
Monday November 10, 2008<br />
Powell-Booth 100 (Seminar Room)</strong></p>
<p>Giuseppe Longo<br />
Department of Physics &#8211; University Federico II in Naples, Italy<br />
INAF &#8211; Napoli</p>
<p>Due to the huge amount of data gathered by the large optical surveys and by a new generation of space borne experiments, astronomy has become a very data rich science. The exploitation of the huge amount of information contained in the astronomical archives, which has been federated and made accessible to the community through the International Virtual Observatory (VO) infrastructure, calls for the adoption of Intelligent Data Analysis (IDA) methods and tools which allow to extract patterns and trends in an almost automatic way and can find application in almost all fields of observational astronomy. The talk is therefore divided in two parts: the first one is devoted to describe how and why in the coming decades, IDA methodologies will play an increasing role in astronomy but not only. The second part will discuss the preliminary results of a Euro-VO template science case, concerning the evaluation of photometric redshifts for SDSS galaxies and QSOs and the identification of quasar candidates from combined UKIDS and SDSS data.</p>
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		<title>CACR at SC08 in Austin, TX</title>
		<link>http://www.cacr.caltech.edu/main/?p=95</link>
		<comments>http://www.cacr.caltech.edu/main/?p=95#comments</comments>
		<pubDate>Thu, 30 Oct 2008 22:41:31 +0000</pubDate>
		<dc:creator>cacrweb</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[CACR]]></category>
		<category><![CDATA[conferences]]></category>

		<guid isPermaLink="false">http://www.cacr.caltech.edu/main/?p=95</guid>
		<description><![CDATA[At the 2008 SC Conference being held in Austin, Texas, November 15-21, 2008, CACR will be demonstrating globally distributed data analysis for CERN/LHC using advanced international networks, near real-time seismological computations, simulations from Caltech&#8217;s PSAAP Center, and time-domain astronomy including contributions to Google Sky and the WorldWide Telescope.
The SC Conference is the premier international conference [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.cacr.caltech.edu/main/wp-content/uploads/2008/10/sc08logoshadowhite.jpg"><img class="alignleft size-medium wp-image-96" title="sc08logoshadowhite" src="http://www.cacr.caltech.edu/main/wp-content/uploads/2008/10/sc08logoshadowhite.jpg" alt="" width="250" height="245" /></a>At the 2008 SC Conference being held in Austin, Texas, November 15-21, 2008, CACR will be demonstrating globally distributed data analysis for CERN/LHC using advanced international networks, near real-time seismological computations, simulations from Caltech&#8217;s PSAAP Center, and time-domain astronomy including contributions to Google Sky and the WorldWide Telescope.</p>
<p>The SC Conference is the premier international conference for high performance computing (HPC), networking, storage and analysis. SC08 marks the 20th anniversary of the first SC Conference, then called Supercomputing, held in Orlando, Florida in 1988. It is also the 20th anniversary of the participation of the group that evolved into CACR. <strong>Visit us at Booth 751!</strong></p>
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