Stephen C. Simms

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As part of the SCinet Research Sandbox at the Supercomputing 2011 conference, Indiana University (IU) demonstrated use of the Lustre high performance parallel file system over a dedicated 100 Gbps wide area network (WAN) spanning more than 3,500 km (2,175 mi). This demonstration functioned as a proof of concept and provided an opportunity to study Lustre's(More)
Cyberinfrastructure is a word commonly used but lacking a single, precise definition. One recognizes intuitively the analogy with <i>infrastructure</i>, and the use of <i>cyber</i> to refer to thinking or computing -- but what exactly is cyberinfrastructure as opposed to information technology infrastructure? Indiana University has developed one of the more(More)
Indiana University provides powerful compute, storage, and network resources to a diverse local and national research community every day. IU's facilities have been used to support data-intensive applications ranging from digital humanities to computational biology.For this year's bandwidth challenge, several IU researchers will conduct experiments from the(More)
The Indiana University Data Capacitor wide area Lustre file system provides over 350 TB of short- to mid-term storage of large research data sets. It spans multiple geographically distributed compute, storage, and visualization resources. In order to effectively harness the power of these resources from various institutions, it has been necessary to develop(More)
Summary form only given. As the first geographically distributed supercomputer on the top 500 list, the AVIDD facility of Indiana University ranked 50/sup th/ in June of 2003. It achieved 1.169 tera-flops running the LINPACK benchmark. Here, our work of improving LINPACK performance is reported, and the impact of math kernel, LINPACK problem size and(More)
Digital instruments and simulations are creating an ever-increasing amount of data. The need for institutions to acquire these data and transfer them for analysis, visualization, and archiving is growing as well. In parallel, networking technology is evolving, but at a much slower rate than our ability to create and store data. Single fiber 100 Gbps(More)
The Indiana University Data Capacitor is a 535 TB distributed parallel filesystem constructed for short to mid term storage of large research data sets. Spanning multiple, geographically distributed compute, storage, and visualization resources and showing unprecedented performance across the wide area network, the Data Capacitor's Lustre filesystem can be(More)
Like many large institutions, Indiana University has thousands of desktop computers devoted primarily to running office productivity applications on the Windows operating system, tasks which are necessary but that do not use the computers’ full capacity. This is a resource worth pursuing. However, the individual desktop systems do not offer enough(More)
Astrophysical simulations of protoplanetary disks and gas giant planet formation are being performed with a variety of numerical methods. Some of the codes in use today have been producing scientifically significant results for several years, or even decades. Each must simulate millions of resolution elements for millions of time steps, capture and store(More)
In this article we explore the utility of a centralized filesystem provided by the TeraGrid to both TeraGrid and non-TeraGrid sites. We highlight several common cases in which such a filesystem would be useful in obtaining scientific insight. We present results from a test case using Indiana University's Data Capacitor over the wide area network as a(More)