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    <title>Scientific Computing // Wissenschaftliches Rechnen events:2017</title>
    <subtitle></subtitle>
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    <entry>
        <title>BoF: Analyzing Parallel I/O</title>
        <link rel="alternate" type="text/html" href="https://www.wr.informatik.uni-hamburg.de/events/2017/bof-analyzing?rev=1516810411&amp;do=diff"/>
        <published>2018-01-24T17:13:31+00:00</published>
        <updated>2018-01-24T17:13:31+00:00</updated>
        <id>https://www.wr.informatik.uni-hamburg.de/events/2017/bof-analyzing?rev=1516810411&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
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        <category  term="events:2017" />
        <content>BoF: Analyzing Parallel I/O

Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These challenges call for sophisticated tools to capture, analyze, understand, and tune application I/O.</content>
        <summary>BoF: Analyzing Parallel I/O

Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These challenges call for sophisticated tools to capture, analyze, understand, and tune application I/O.</summary>
    </entry>
    <entry>
        <title>Workshop: Exascale I/O for Unstructured Grids (EIUG)</title>
        <link rel="alternate" type="text/html" href="https://www.wr.informatik.uni-hamburg.de/events/2017/eiug?rev=1519979227&amp;do=diff"/>
        <published>2018-03-02T09:27:07+00:00</published>
        <updated>2018-03-02T09:27:07+00:00</updated>
        <id>https://www.wr.informatik.uni-hamburg.de/events/2017/eiug?rev=1519979227&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="events:2017" />
        <content>Workshop: Exascale I/O for Unstructured Grids (EIUG)

When dealing with large amounts of data, the I/O subsystem of modern Supercomputers is one of the most sensible components with regards to performance. Today, application scientists from different backgrounds have to struggle with the details of parallel file systems to obtain optimal performance. Only to a certain extend the management of the data is supported by libraries like HDF5. An especially challenging example is the storage of result…</content>
        <summary>Workshop: Exascale I/O for Unstructured Grids (EIUG)

When dealing with large amounts of data, the I/O subsystem of modern Supercomputers is one of the most sensible components with regards to performance. Today, application scientists from different backgrounds have to struggle with the details of parallel file systems to obtain optimal performance. Only to a certain extend the management of the data is supported by libraries like HDF5. An especially challenging example is the storage of result…</summary>
    </entry>
    <entry>
        <title>HPC-IODC: HPC I/O in the Data Center Workshop</title>
        <link rel="alternate" type="text/html" href="https://www.wr.informatik.uni-hamburg.de/events/2017/iodc?rev=1516810411&amp;do=diff"/>
        <published>2018-01-24T17:13:31+00:00</published>
        <updated>2018-01-24T17:13:31+00:00</updated>
        <id>https://www.wr.informatik.uni-hamburg.de/events/2017/iodc?rev=1516810411&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="events:2017" />
        <content>HPC-IODC: HPC I/O in the Data Center Workshop

[Logo]

Managing scientific data at large scale is challenging for scientists but also for the host data center.
The storage and file systems deployed within a data center are expected to meet users' requirements for data integrity and high performance across heterogeneous and concurrently running applications.</content>
        <summary>HPC-IODC: HPC I/O in the Data Center Workshop

[Logo]

Managing scientific data at large scale is challenging for scientists but also for the host data center.
The storage and file systems deployed within a data center are expected to meet users' requirements for data integrity and high performance across heterogeneous and concurrently running applications.</summary>
    </entry>
    <entry>
        <title>2017</title>
        <link rel="alternate" type="text/html" href="https://www.wr.informatik.uni-hamburg.de/events/2017/start?rev=1516810411&amp;do=diff"/>
        <published>2018-01-24T17:13:31+00:00</published>
        <updated>2018-01-24T17:13:31+00:00</updated>
        <id>https://www.wr.informatik.uni-hamburg.de/events/2017/start?rev=1516810411&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="events:2017" />
        <content>2017</content>
        <summary>2017</summary>
    </entry>
    <entry>
        <title>Workshop: Understanding I/O Performance Behavior (UIOP)</title>
        <link rel="alternate" type="text/html" href="https://www.wr.informatik.uni-hamburg.de/events/2017/uiop?rev=1516810411&amp;do=diff"/>
        <published>2018-01-24T17:13:31+00:00</published>
        <updated>2018-01-24T17:13:31+00:00</updated>
        <id>https://www.wr.informatik.uni-hamburg.de/events/2017/uiop?rev=1516810411&amp;do=diff</id>
        <author>
            <name>Anonymous</name>
            <email>anonymous@undisclosed.example.com</email>
        </author>
        <category  term="events:2017" />
        <content>Workshop: Understanding I/O Performance Behavior (UIOP)

Understanding I/O performance behavior is crucial to optimize I/O-intensive applications but also the infrastructure of data centers.
However, with the dawn of new technologies such as NVRAM, burst-buffers, active storage/function shipping, and network attached memory, the complexity of storage infrastructure increases significantly and the boundary between memory and storage blurs.
During the procurement of new systems, data centers have …</content>
        <summary>Workshop: Understanding I/O Performance Behavior (UIOP)

Understanding I/O performance behavior is crucial to optimize I/O-intensive applications but also the infrastructure of data centers.
However, with the dawn of new technologies such as NVRAM, burst-buffers, active storage/function shipping, and network attached memory, the complexity of storage infrastructure increases significantly and the boundary between memory and storage blurs.
During the procurement of new systems, data centers have …</summary>
    </entry>
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