Event Details |
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| Name: |
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Big Data – Analysis for Extreme Scale Research |
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| Time: |
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Wednesday, June 20, 2012
2:15 PM - 4:15 PM |
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| Room: |
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Hall 4
CCH - Congress Center Hamburg |
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| Chair(s): |
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Dieter Kranzlmüller, LMU München & LRZ |
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| Abstract: |
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With HPC targeting exascale, Big Data is today one of the major keywords. Following trends such as Moore’s law, the amount of data to be processing has been increasing significantly, and even more increase is looming on the horizon. Will we be able to store, transport and process this data? What do we need in terms of hardware architectures to handle these amounts of data on the extreme scale? How can we analyze the data avalanche that is building up in front of us?
This session presents four distinguished speakers, who are working with big data today, trying to develop possibilities to analyze that data generated by a variety of resources. They provide an insight into their respective scenarios, identify their particular requirements on big data capabilities, and define possible routes towards technology that is able to handle data on the extreme scale. |
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| Contributions: |
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The Extreme Scale: Data Analytics at the Large Hadron Collider |
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2:15 PM - 2:45 PM |
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Sverre Jarp, CERN |
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Graph Analysis for High-Performance Computing? |
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2:45 PM - 3:15 PM |
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Jonathan Berry, Sandia National Laboratories |
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High-Performance Analytics: Scenarios, Technologies & Solutions |
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3:15 PM - 3:45 PM |
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Christoph Morgen, SAS Institute |
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A Randomized, Graph-Based Approach for Extreme Scale Data Analysis |
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3:45 PM - 4:15 PM |
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John R. Johnson, Pacific Northwest National Laboratory |
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