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 <title>[GSIC] Tokyo Institute of Technology | Global Scientific Information and Computing Center - その他</title>
 <link>https://www.gsic.titech.ac.jp/en/taxonomy/term/2</link>
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 <language>en</language>
<item>
 <title>TSUBAME共同利用　公募要領　別紙</title>
 <link>https://www.gsic.titech.ac.jp/en/node/541</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;ol id=&quot;jQueryDecimalDoc&quot; class=&quot;jQueryDecimal&quot;&gt;&lt;p&gt;別紙&lt;/p&gt;
&lt;li id=&quot;anc10&quot; class=&quot;first&quot;&gt;&lt;span class=&quot;midashi&quot;&gt;提供する計算機資源と課金&lt;/span&gt;
&lt;p&gt;本学の学内利用に提供する計算機資源とのバランスを考慮し、平成24年度はTSUBAME2.0の1年間に利用できる資源の最大30％をTSUBAME共同利用に割り当てます。&lt;/p&gt;
&lt;ol&gt;&lt;li id=&quot;anc11&quot;&gt;計算資源の課金単位
&lt;p&gt;TSUBAME共同利用ではTSUBAMEの計算機資源の割振りは口数を単位としており、1口は3,000TSUBAMEポイントです。1 TSUBAMEポイントは標準1ノード（12CPUコア, 3GPU, 55.82GBメモリ搭載）が1時間利用可能な計算資源のため、1口は標準1ノード3,000時間分（≒約4ヶ月）に相当し、例えば1,000CPUコアを1.5日や、100GPUを3.75日といった利用が可能です。
&lt;/p&gt;
&lt;/li&gt;
&lt;li id=&quot;anc12&quot;&gt;ストレージ課金
&lt;p&gt;平成23年8月よりグループディスクの従量制課金が開始され、TSUBAMEアカウント発行時に提供されるディスク容量（各アカウント毎25GB）以外にストレージを必要とする場合は、1TB・1ヶ月当たり30 TSUBAMEポイントが課金されます。&lt;/p&gt;
&lt;/li&gt;
&lt;li id=&quot;anc13&quot;&gt;TSUBAME共同利用の利用課金
&lt;p&gt;TSUBAME共同利用における各利用区分の利用課金を表1に示します。&lt;/p&gt;
&lt;/li&gt;
&lt;p align=&quot;center&quot;&gt;表１　共同利用のTSUBAME利用課金&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.gsic.titech.ac.jp/sites/default/files/image002.jpg&quot; align=&quot;center&quot; /&gt;&lt;/p&gt;
&lt;p&gt;*1 産業利用トライアルユースは別途公募しております。詳しくは共用促進事業ウェブページ&lt;a href=&quot;http://www.gsic.titech.ac.jp/kyoyo/&quot;&gt;共用促進事業ウェブページ http://www.gsic.titech.ac.jp/kyoyo/&lt;/a&gt; をご参照ください。&lt;/p&gt;
&lt;/ol&gt;&lt;/li&gt;&lt;/ol&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Fri, 16 Mar 2012 04:39:15 +0000</pubDate>
 <dc:creator>author1</dc:creator>
 <guid isPermaLink="false">541 at https://www.gsic.titech.ac.jp</guid>
</item>
<item>
 <title>Grand Challenge (Large Scale GPU applications)</title>
 <link>https://www.gsic.titech.ac.jp/en/node/447</link>
 <description>&lt;div class=&quot;field field-name-body field-type-text-with-summary field-label-hidden&quot;&gt;&lt;div class=&quot;field-items&quot;&gt;&lt;div class=&quot;field-item even&quot;&gt;&lt;h3&gt;&lt;a href=&quot;/en/node/464&quot;&gt;Large scale Phase-Field simulation for metal dendritic solidification by multi-GPU computing&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;img width=&quot;300&quot; align=&quot;right&quot; alt=&quot;&quot; src=&quot;/sites/default/files/dendrite-pin_up.jpg&quot; /&gt;&lt;/p&gt;
&lt;p&gt;The phase-field method is applied to study dendritic solidification of Si-Al binary alloy. The performance reaches  2.0000045 PFLOPS for 4,096x6,500x10,400 mesh, which is the first over peta-scale result as a real stencil application we know to date.&lt;br /&gt;
(&lt;a href=&quot;/en/node/464&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;h3&gt;&lt;a href=&quot;/en/node/445&quot;&gt;Multiphysics Biofluidics Simulation&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;img width=&quot;300&quot; align=&quot;right&quot; alt=&quot;&quot; src=&quot;/sites/default/files/kaxiras_mechionna_7k.jpg&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Multiphysics Biofluidics Simulation is gaining a deeper insight of blood circulation that is a necessary step to improve our understanding of cardiovascular diseases.&lt;br /&gt;
(&lt;a href=&quot;/en/node/445&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;h3&gt;&lt;a href=&quot;/en/node/454&quot;&gt;Ultra-fast computing pipeline for metagenome analysis with　next-generation DNA sequencers&lt;/a&gt; (NEW!)&lt;/h3&gt;
&lt;p&gt;&lt;img width=&quot;300&quot; align=&quot;right&quot; alt=&quot;&quot; src=&quot;/sites/default/files/fig1.jpg&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Metagenome analysis is the study of the genomes of uncultured microbes obtained directly from microbial communities in their natural habitats. GHOSTM (K=4) as a homology search program, the pipeline achieves to process about 60 million reads per an hour with 2,520 GPUs (840 computing nodes) . Our results indicate the pipeline can process genome information obtained from a single run of next generation sequencers in a few hours.&lt;br /&gt;
(&lt;a href=&quot;/en/node/454&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;h3&gt;&lt;a href=&quot;/en/node/446&quot;&gt;Turbulence Simulation using FMM&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;img src=&quot;http://www.gsic.titech.ac.jp/sites/default/files/Picture 1.png&quot; width=&quot;200&quot; align=&quot;right&quot; /&gt;&lt;/p&gt;
&lt;p&gt;The fast multipole method (FMM) enables highly parallelized execution of turbulence simulation compared to traditional spectral method (based on FFT).&lt;br /&gt;
(&lt;a href=&quot;/en/node/446&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;h3&gt;&lt;a href=&quot;/en/node/450&quot;&gt;High Performance Seismic Simulation with GPGPU&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;img src=&quot;http://www.gsic.titech.ac.jp/sites/default/files/weak.jpg&quot; width=&quot;300&quot; align=&quot;right&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Improvement of checkpointing overhead achieve better performance of GPGPU version of SPECFEM3D, which is one of the leading applications to simulate seismic wave propagations.&lt;br /&gt;
(&lt;a href=&quot;/en/node/450&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;h3&gt;&lt;a href=&quot;/en/node/452&quot;&gt;Molecular Dynamics Simulation of a Biomolecule with High Speed, Low Power and Accuracy using GPGPU&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;img src=&quot;http://www.gsic.titech.ac.jp/sites/default/files/nucleosome.png&quot; width=&quot;200&quot; align=&quot;right&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Using GPUs could yield a great improvement in both the calculation speed and energy consumption. Comparing 8 nodes 16 GPUs result and 8 nodes 96 CPU cores result, we could achieve about 10 times acceleration and 75 % energy reduction. The results of GPU molecular dynamics was consistent with that of CPU molecular dynamics within acceptable range.&lt;br /&gt;
(&lt;a href=&quot;/en/node/452&quot;&gt;See more details&lt;/a&gt;)&lt;/p&gt;
&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description>
 <pubDate>Thu, 21 Jul 2011 10:28:01 +0000</pubDate>
 <dc:creator>webmaster</dc:creator>
 <guid isPermaLink="false">447 at https://www.gsic.titech.ac.jp</guid>
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 <pubDate>Sun, 21 Feb 2010 14:31:22 +0000</pubDate>
 <dc:creator>webmaster</dc:creator>
 <guid isPermaLink="false">250 at https://www.gsic.titech.ac.jp</guid>
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&lt;li&gt;Domestic IT Centers
&lt;ul&gt;&lt;li&gt;&lt;a href=&quot;http://www.iic.hokudai.ac.jp/&quot; target=&quot;_blank&quot;&gt;Information Initiative Center, Hokkaido University&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;http://www.isc.tohoku.ac.jp/index-e.html&quot; target=&quot;_blank&quot;&gt;Cyberscience Center, Tohoku University &lt;/a&gt;&lt;/li&gt;
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&lt;li&gt;&lt;a href=&quot;http://www.media.kyoto-u.ac.jp/en/&quot; target=&quot;_blank&quot;&gt;Academic Center for Computing and Media Studies, Kyoto University&lt;/a&gt;&lt;/li&gt;
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&lt;li&gt;&lt;a href=&quot;http://www.cc.kyushu-u.ac.jp/index-e.html&quot; target=&quot;_blank&quot;&gt;Research Institute for Information Technology, Kyushu University&lt;/a&gt;&lt;/li&gt;
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&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;http://www.pccluster.org/en/&quot; target=&quot;_blank&quot;&gt;PC Cluster Consortium&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&quot;http://www.sdsc.edu/&quot; target=&quot;_blank&quot;&gt;San Diego Supercomputer Center&lt;/a&gt;&lt;/li&gt;
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 <pubDate>Thu, 11 Feb 2010 20:27:01 +0000</pubDate>
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 <pubDate>Wed, 10 Feb 2010 13:24:54 +0000</pubDate>
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