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	<title>Inside-BigData &#187; HPC</title>
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	<link>http://inside-bigdata.com</link>
	<description>Discovering Gold with Big Data Analytics and Data-Intensive Computing</description>
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		<title>Video: EIOW Exascale I/O Working Group</title>
		<link>http://inside-bigdata.com/video-eiow-exascale-io-working-group/</link>
		<comments>http://inside-bigdata.com/video-eiow-exascale-io-working-group/#comments</comments>
		<pubDate>Sat, 18 May 2013 13:49:41 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3021</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Meghan McClelland from Xyratex presents: EIOW &#8211; Exascale I/O Working Group. There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to [...]</p><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/CNqbW79KfV8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Meghan McClelland from <a href="http://xyratex.com">Xyratex</a> presents: <em><a href="http://www.xyratex.com/news/blog/tag/eiow">EIOW</a> &#8211; Exascale I/O Working Group</em>.</p>
<blockquote><p>There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to offer an end-to-end solution, which would necessarily involve competing instead of working with storage providers. The focus of EIOW is on middleware to provide, for example, schemas describing data structure and layout, novel access methods to data for applications, a uniform data management infrastructure and a framework for the implementation of layered I/O software, similar in spirit to HDF5 as a specialized use of a parallel file system. We decided EIOW should be open, and have interfaces to layer on lower level storage infrastructure such as object stores, databases and file systems as provided by storage providers, to allow their expertise and leadership in this area to continue to benefit the HPC community.</p></blockquote>
<p>Download the <a href="http://www.xyratex.com/sites/default/files/file/field_white_paper_pdf/Exascale%20IO%20-%20EIOW%20-%20Peter%20Braam.pdf">EIOW whitepaper</a> and <a href="http://www.opensfs.org/wp-content/uploads/2013/04/Lug-2013-exascale10.pdf">slides</a>, or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-eiow-exascale-io-working-group/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Today&#8217;s I/O Challenges for Big Data Analysis</title>
		<link>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/</link>
		<comments>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/#comments</comments>
		<pubDate>Thu, 16 May 2013 12:00:49 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Archival]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3009</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Henry Newman from Instrumental presents: Today&#8217;s I/O Challenges for Big Data Analysis. Those who own the archive own the big data solutions as you cannot move data around. Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/3-47HxcHl5I?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com/download.html">2013 HPC User Forum</a>, Henry Newman from <a href="http://instrumental.com">Instrumental</a> presents: <em>Today&#8217;s I/O Challenges for Big Data Analysis</em>.</p>
<blockquote><p>Those who own the archive own the big data solutions as you cannot move data around.</p></blockquote>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/HenryNewman.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: High-Performance Data Analysis: HPC Meets Big Data</title>
		<link>http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/</link>
		<comments>http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/#comments</comments>
		<pubDate>Wed, 15 May 2013 12:00:16 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[High Performance Data Analysis]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3003</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Steve Conway and Chirag Dekate from IDC present: High-Performance Data Analysis: HPC Meets Big Data. Download the slides (PDF) or check out our HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/">Video: High-Performance Data Analysis: HPC Meets Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/C7TcBpzIm_I?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com">2013 HPC User Forum</a>, Steve Conway and Chirag Dekate from IDC present: <em>High-Performance Data Analysis: HPC Meets Big Data</em>.</p>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/IDCHPDABigDataHPC.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/">Video: High-Performance Data Analysis: HPC Meets Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</title>
		<link>http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/</link>
		<comments>http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/#comments</comments>
		<pubDate>Tue, 14 May 2013 11:30:01 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Podcasts]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2979</guid>
		<description><![CDATA[<p>In this slidecast, Ken Claffey from Xyratex describes the company&#8217;s new ClusterStor 1500 storage system. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system. Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved [...]</p><p>The post <a href="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/">Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/Xdytmrisjo8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Ken Claffey from <a href="http://xyratex.com">Xyratex</a> describes the company&#8217;s new <a href="http://www.xyratex.com/products/clusterstor-1500">ClusterStor 1500</a> storage system. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system.</p>
<blockquote><p>Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved market. They need high-performance and scalable storage solutions that are cost-efficient, easy to deploy and manage and reliable even under heavy workloads,” said Ken Claffey, senior vice president of the ClusterStor business at Xyratex. “Growth in this market segment is being driven by the increasing adoption of simulation applications in a wide range of industries from car and aircraft design to chemical interactions and financial modeling. Traditional enterprise storage systems are simply not designed to meet the performance needs of these applications, so we engineered and built the affordable and modular ClusterStor 1500 to bring the performance power of Lustre to this underserved and growing market in the way that only ClusterStor can.”</p></blockquote>
<p>With the ability to scale performance from 1.25GB/s to 110GB/s and raw capacity from 42TB to 7.3PB, ClusterStor 1500 is purpose-built to satisfy data intensive department level compute cluster needs, ClusterStor 1500 is designed to provide best in class scale-out storage for middle tier high performance computing environments. The ClusterStor 1500 solution features scale-out storage building blocks, the Lustre parallel filesystem and a comprehensive management platform that eliminates the guesswork usually associated with building and optimizing your own HPC storage solution.</p>
<p><a href="http://www.xyratex.com/news/press-releases/xyratex-introduces-clusterstor%E2%84%A2-1500-bringing-leading-edge-scale-out-storage">Read the Full Story</a> * <a href="http://www.slideshare.net/insideHPC/cluster-stor-1500">View the slides</a> * <a href="https://archive.org/download/ClusterStor1500/clusterStorHI.mp3">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/">Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Aeon Computing Showcases Intelligent Disk Arrays with Lustre and ZFS</title>
		<link>http://inside-bigdata.com/video-aeon-computing-showcases-intelligent-disk-arrays-with-lustre-and-zfs/</link>
		<comments>http://inside-bigdata.com/video-aeon-computing-showcases-intelligent-disk-arrays-with-lustre-and-zfs/#comments</comments>
		<pubDate>Sat, 11 May 2013 15:05:44 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[HPC]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2966</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Doug Johnson from Aeon Computing describes the company&#8217;s Hydra storage arrays that marry the speed of Lustre with the HA capabilities of ZFS. The Hydra60 is a combination Lustre OSS (object storage server) and OST (object storage target) with two active/active failover nodes and shared storage [...]</p><p>The post <a href="http://inside-bigdata.com/video-aeon-computing-showcases-intelligent-disk-arrays-with-lustre-and-zfs/">Video: Aeon Computing Showcases Intelligent Disk Arrays with Lustre and ZFS</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/0H9QU-njrj0?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Doug Johnson from <a href="http://aeoncomputing.com">Aeon Computing</a> describes the company&#8217;s <a href="http://aeoncomputing.com/aeon-products/product-list/hydra60/">Hydra storage arrays</a> that marry the speed of Lustre with the HA capabilities of ZFS.</p>
<blockquote><p>The Hydra60 is a combination Lustre OSS (object storage server) and OST (object storage target) with two active/active failover nodes and shared storage in a single system chassis with an ultra dense 60 drive 6Gb SAS storage infrastructure. With a unified and zonable 6Gb SAS dual-ported backplane and drives the Hydra60 can sustain a remarkable performance while providing high-availability to volumes or object storage. With external interface options including FDR Infiniband, 40/10GbE 1Gb Ethernet and supporting Linux and Lustre releases 2.x the Hydra60 makes an excellent storage platform for Lustre performance with HA operation. The design of Hydra60 provides an affordable, redundant and resilient storage platform by leveraging RAIDZ thereby eliminating the cost of hardware RAID controller technology.&#8221;</p></blockquote>
<p>For more on Lustre, check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-aeon-computing-showcases-intelligent-disk-arrays-with-lustre-and-zfs/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-aeon-computing-showcases-intelligent-disk-arrays-with-lustre-and-zfs/">Video: Aeon Computing Showcases Intelligent Disk Arrays with Lustre and ZFS</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Radio Free HPC Fireside Chat &#8211; HPC Embraces Big Data</title>
		<link>http://inside-bigdata.com/radio-free-hpc-fireside-chat-hpc-embraces-big-data/</link>
		<comments>http://inside-bigdata.com/radio-free-hpc-fireside-chat-hpc-embraces-big-data/#comments</comments>
		<pubDate>Wed, 08 May 2013 13:43:54 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Graph Computing]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Podcasts]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2941</guid>
		<description><![CDATA[<p>In this slidecast, the Radio Free HPC team interviews Fritz Ferstl, CTO of Univa. Topics include Big Data, HPC, and the continuing convergence of both. While what we think of as traditional HPC may differ greatly from Big Data analytics, that seems to be changing. With a long history in high performance computing and customers [...]</p><p>The post <a href="http://inside-bigdata.com/radio-free-hpc-fireside-chat-hpc-embraces-big-data/">Radio Free HPC Fireside Chat &#8211; HPC Embraces Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/mK5IV4I3uKM?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p><a href="http://www.univa.com/about/management.php"><img alt="" src="http://www.isc-events.com/cloud10/var/cloud/storage/images/media/images/ferstl_95x98px/5577-1-eng-GB/Ferstl_95x98px.jpg" title="Fritz Ferstl" class="alignright" width="95" height="98" /></a>In this slidecast, the Radio Free HPC team interviews Fritz Ferstl, CTO of <a href="http://univa.com">Univa</a>. Topics include Big Data, HPC, and the continuing convergence of both.</p>
<blockquote><p>While what we think of as traditional HPC may differ greatly from Big Data analytics, that seems to be changing. With a long history in high performance computing and customers in both worlds, Ferstl shares his unique perspective on where the two worlds overlap and where the potential is greatest for synergy in the future.</p></blockquote>
<p>This has to be our best show yet, so be sure to check it out.</p>
<p><a href="http://slidesha.re/109YEDx">View the slides on Slideshare</a> * <a href="http://bit.ly/VpbZIf">Download the MP3</a> * <a href="http://bit.ly/18sFTPg">Download the mobile video</a> * <a href="http://bit.ly/13vmcmA">Download 1024p Video</a> * <a href="http://bit.ly/WgEZzd">Subscribe on iTunes</a> * <a title="RSS" href="http://bit.ly/QXKy3V">RSS Feed</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/radio-free-hpc-fireside-chat-hpc-embraces-big-data/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/radio-free-hpc-fireside-chat-hpc-embraces-big-data/">Radio Free HPC Fireside Chat &#8211; HPC Embraces Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: Massive I/O Requirements for the SKA Telescope</title>
		<link>http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/</link>
		<comments>http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/#comments</comments>
		<pubDate>Tue, 07 May 2013 12:00:02 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Network]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2933</guid>
		<description><![CDATA[<p>In this video from the 2013 Open Fabrics Developer Workshop, Bill Boas from Cray presents: Massive I/O Requirements for the SKA Telescope. Processing the vast quantities of data produced by the SKA will require very high performance central supercomputers capable of 100 petaflops per second processing power. This is about 50 times more powerful than [...]</p><p>The post <a href="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/">Video: Massive I/O Requirements for the SKA Telescope</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/sJSW5-5G00w?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="https://www.openfabrics.org/images/docs/2013_Dev_Workshop/2013_Dev_Workshop_Presentations.pdf">2013 Open Fabrics Developer Workshop</a>, Bill Boas from Cray presents: <em>Massive I/O Requirements for the SKA Telescope</em>.</p>
<blockquote><p>Processing the vast quantities of data produced by the SKA will require very high performance central supercomputers capable of 100 petaflops per second processing power. This is about 50 times more powerful than the most powerful supercomputer in 2010 and equivalent to the processing power of about one hundred million PCs.</p></blockquote>
<p><a href="https://connect.innovateuk.org/c/document_library/get_file?p_l_id=941226&#038;folderId=10328163&#038;name=DLFE-138823.pdf">Download the slides (PDF)</a> or check out more OFA videos in our <a href="http://insidehpc.com/video-gallery-open-fabrics-developer-workshop-2013/">Open Fabrics Worshop Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-massive-io-requirements-for-the-ska-telescope/">Video: Massive I/O Requirements for the SKA Telescope</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</title>
		<link>http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/</link>
		<comments>http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/#comments</comments>
		<pubDate>Tue, 07 May 2013 11:00:15 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Podcasts]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2928</guid>
		<description><![CDATA[<p>&#160; In this podcast, the Radio Free HPC team discusses Lustre and LUG 2013 with Brent Gorda. Now part of Intel in their High Performance Data Division, Gorda was CEO of Whamcloud when the company was acquired last summer. Gorda recently wrote a post about the rapid growth of the Lustre community, so we started [...]</p><p>The post <a href="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/">Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><div class="CSS_CLASS"><embed type="application/x-shockwave-flash" src="http://prac-gadget.googlecode.com/svn/branches/google-audio-step.swf" quality="best" flashvars="audioUrl=http://bit.ly/13nUecB"  width="500" height="33"></embed></div><br />
&nbsp;<br />
<a href="http://whamcloud.com"><img alt="" src="http://storageconference.org/2013/Speakers/GordaPhoto.jpg" title="Brent Gorda" class="alignright" width="131" height="152" /></a>In this <a href="http://bit.ly/13nUecB">podcast</a>, the <a href="http://radiofreehpc.com">Radio Free HPC</a> team discusses Lustre and <a href="http://www.opensfs.org/resources/presentations/">LUG 2013</a> with Brent Gorda. Now part of Intel in their High Performance Data Division, Gorda was CEO of <a href="http://whamcloud.com">Whamcloud</a> when the company was acquired last summer. </p>
<p>Gorda recently wrote a post about the <a href="http://www.whamcloud.com/2013/04/state-of-the-lustre-community-2013/">rapid growth of the Lustre community</a>, so we started our discussion there and learned a good deal more about the popular file system.</p>
<p><a href="http://bit.ly/13nUecB">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/podcast-radio-free-hpc-looks-at-lustre-with-brent-gorda/">Podcast: Radio Free HPC Looks at Lustre with Brent Gorda</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: High Availability in Lustre</title>
		<link>http://inside-bigdata.com/video-high-availability-in-lustre/</link>
		<comments>http://inside-bigdata.com/video-high-availability-in-lustre/#comments</comments>
		<pubDate>Mon, 06 May 2013 14:35:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2924</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, John Fragalla from Xyratex presents: High Availability in Lustre. Download the slides (PDF) or check out our LUG 2013 Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-high-availability-in-lustre/">Video: High Availability in Lustre</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/nM5Put8vCR0?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, John Fragalla from <a href="http://xyratex.com">Xyratex</a> presents: <em>High Availability in Lustre</em>.</p>
<p><a href="http://www.opensfs.org/wp-content/uploads/2013/04/Xyratex_High-Availability-in-Lustre_John-Fragalla-18th_820a.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-high-availability-in-lustre/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-high-availability-in-lustre/">Video: High Availability in Lustre</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: DataDirect Networks Update</title>
		<link>http://inside-bigdata.com/video-datadirect-networks-update/</link>
		<comments>http://inside-bigdata.com/video-datadirect-networks-update/#comments</comments>
		<pubDate>Sun, 05 May 2013 15:42:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
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		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2922</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Jeff Denworth from DDN presents: DataDirect Networks Update. DDN has developed a Hadoop solution that is all about time to value: It simplifies rollout so that enterprises can get up and running more quickly, provides typical DDN performance to accelerate data processing, and reduces the amount [...]</p><p>The post <a href="http://inside-bigdata.com/video-datadirect-networks-update/">Video: DataDirect Networks Update</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/A8B649og4Ow?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Jeff Denworth from DDN presents: <em>DataDirect Networks Update</em>.</p>
<blockquote><p>DDN has developed a <a href="http://www.ddn.com/products/hscaler-appliance">Hadoop solution</a> that is all about time to value: It simplifies rollout so that enterprises can get up and running more quickly, provides typical DDN performance to accelerate data processing, and reduces the amount of time needed to maintain a Hadoop solution.” said Dave Vellante, Chief Research Officer, Wikibon.org. “For enterprises with a deluge of data but a limited IT budget, the DDN hScaler appliance should be on the short list of potential solutions.”</p></blockquote>
<p><a href="http://www.opensfs.org/wp-content/uploads/2013/04/DDN-LUG-Talk.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-datadirect-networks-update/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-datadirect-networks-update/">Video: DataDirect Networks Update</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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