Browsing by Author "Simms, Stephen C."

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Acquisition of a High-Speed, High Capacity Storage System to Support Scientific Computing: The Data Capacitor Final Report
(2009) Stewart, Craig A.; Simms, Stephen C.; Pilachowski, Caty; Bramley, Randall
Final report to the National Science Foundation on ACI-0521433.
Data Gateways for Scientific Communities
(2008-06-08) Stewart, Craig A.; Jordan, Chris; Simms, Stephen C.
This Birds of a Feather session discusses science gateways and data collections on TeraGrid.
Indiana University Pervasive Technology Institute – Research Technologies: XSEDE Service Provider and XSEDE subcontract report (PY1: 1 July 2011 to 30 June 2012)
(2012-10-03) Bolte, Jonathan; Wernert, Julie; Seiffert, Kurt; Simms, Stephen C.; Link, Matthew R.; Pierce, Marlon; Marru, Suresh; Hancock, David Y.; Miller, Therese; Stewart, Craig A.
This document is a summary of the activities of the Research Technologies division of UITS, a Service & Cyberinfrastructure Center affiliated with the Indiana University Pervasive Technology Institute, as part of the eXtreme Science and Engineering Discovery Environment (XSEDE) during XSEDE Program Year 1 (1 July 2011 – 30 June 2012). This document consists of three parts: - Section 2 of this document describes IU’s activities as an XSEDE Service Provider, using the format prescribed by XSEDE for reporting such activities. - Section 3 of this document describes IU’s activities as part of XSEDE management, operations, and support activities funded under a subcontract from the National Center for Supercomputer Applications (NCSA), the lead organization for XSEDE. This section is organized by the XSEDE Work Breakdown Structure (WBS) plan. - Appendix 1 is a summary table of IU’s education, outreach, and training events funded and supported in whole or in part by IU’s subcontract from NCSA as part of XSEDE.
Indiana University's Lustre WAN: Empowering Production Workflows on the TeraGrid and beyond
(2010-05-20) Stewart, Craig A.; Simms, Stephen C.
An overview of IU's Lustre-WAN implementation and the Data Capacitor.
Publications, presentations, and news pertaining to National Science Foundation grant number 0521433 – MRI: Acquisition of a High-Speed, High Capacity Storage System to Support Scientific Computing: The Data Capacitor
(2011-11-18) Stewart, Craig A.; Simms, Stephen C.
This is a bibliography of papers, reports, presentations, and websites related to the NSF-funded Data Capacitor at Indiana University.
SC|07 Bandwidth Challenge award-winning project: Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization
(2007-11) Simms, Stephen C.; Davy, Matthew; Hammond, C. Bret; Link, Matthew R.; Teige, Scott; Baik, Mu-Hyun; Manri, Yogita; Lord, Richard; McMullen, D.F. (Rick); Huffman, John C.; Huffman, Kia; Juckeland, Guido; Kluge, Michael; Henschel, Robert; Brunst, Holger; Knuepfer, Andreas; Mueller, Matthias; Mukund, P.R.; Elble, Andrew; Pasupuleti, Ajay; Bohn, Richard; Das, Sripriya; Stefano, James; Pike, Gregory G.; Balog, Douglas A.; Stewart, Craig A.
In 2006, Indiana University led a team that received an honorable mention in the SC06 bandwidth challenge. The following year, IU expanded its team to include representatives of Technische Universität Dresden (TUD) in Germany and the Rochester Institute of Technology (RIT) in New York. The title of the 2007 project was “Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization.” We believe that distributed workflows represent an important category of scientific application workflows that make possible new and more rapid discoveries using grids and distributed workflow tools. We believe that short-term storage systems have a particularly important role to play in distributed workflows. The IU Data Capacitor is a 535 TB distributed object store file system constructed for short- to mid-term storage of large research data sets.
Technical Report: Report on Lustre use across an experimental 100Gb network spanning 2,175 mi
(2012) Henschel, Robert; Simms, Stephen C.; Hancock, David Y.; Michael, Scott; Johnson, Tom; Heald, Nathan; William, Thomas; Berry, Donald; Allen, Matt; Knepper, Richard; Davy, Matthew; Link, Matthew R.; Stewart, Craig A.
Indiana University demonstrated use of the Lustre high performance parallel file system over an experimental 100 Gbps network made available as part of the SCinet Research Sandbox at the Supercomputing 2011 conference. The network distance was 2,175 miles which yielded a latency of 50.5 ms. This report outlines the findings from low level iperf network tests and file system tests with the IOR benchmark to a suite of real-world applications reading and writing to the file system.
Use of IU parallel computing resources and high performance file systems - July 2013 to Dec 2014
(2015-02) Link, Matthew R.; Simms, Stephen C.; Stewart, Craig A.; Henschel, Robert; Fulton, Benjamin
This report details use of IU's parallel computing resources and high performance file systems from July 2013 through December 2014.
Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization
(2007-11-13) Simms, Stephen C.; Davy, Matthew; Hammond, Bret; Link, Matthew R.; Stewart, Craig A.; Teige, Scott; Baik, Mu-Hyun; Mantri, Yogita; Lord, Richard; McMullen, D.F. (Rick); Huffman, John C.; Huffman, Kia; Juckeland, Guido; Kluge, Michael; Henschel, Robert; Brunst, Holger; Knuepfer, Andreas; Mueller, Matthias; Mukund, P.R.; Elble, Andrew; Pasupuleti, Ajay; Bohn, Richard; Das, Sripriya; Stefano, James; Pike, Gregory G.; Balog, Douglas A.
Indiana University provides powerful compute, storage, and network resources to a diverse local and national research community. In the past year, through the use of Lustre across the wide area network, IU has been able to extend the reach of its advanced cyberinfrastructure across the nation and across the ocean to Technische Universitaet Dresden. For this year's bandwidth challenge, a handful of researchers from IU, Rochester Institute of Technology, and the Technische Universitaet Dresden will run a set of data-intensive applications crossing a range of disciplines from the digital humanities to computational chemistry. Using IU's 535 TB Data Capacitor and an additional component installed on the exhibit floor, we will mount Lustre across the wide area network to demonstrate data collection, analysis, and visualization across distance.
Wide Area Filesystem Performance using Lustre on the TeraGrid
(2007-06) Simms, Stephen C.; Pike, Gregory G.; Balog, Douglas
Today’s scientific applications demand computational resources that can be provided only by parallel clusters of computers. Storage subsystems have responded to the increased demand for high-throughput disk access by moving to network attached storage. Emerging Cyberinfrastructure strategies are leading to geographically distributed computing resources such as the National Science Foundation’s TeraGrid. One feature of the TeraGrid is a dedicated national network with WAN bandwidth on the same scale as machine room bandwidth. A natural next step for storage is to export file systems across wide area networks to be available on diverse resources. In this paper we detail our testing with the Lustre file system across the TeraGrid network. On a single 10 Gbps WAN link we achieved single host performance approaching 700 MB/s for single file writes and 1GB/s for two simultaneous file writes with minimal tuning.