EDBT 2026 Demo / reviewers in the wild / expert
Stephen C. Simms
dblp:89/330
· DBLP profile ↗
7ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 6 · 1 first-authorSoftware engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
4 papers |
High-performance computing · 49% Storage systems · 30% Distributed systems · 21% | |
| Computer networks
1 paper |
Network measurement and analytics · 100% |
Topics — the 12 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › file systems › distributed file system
parallel file system |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
High-performance computing
supercomputing |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
Distributed systems › distributed system architecture › communication architecture
wide-area network |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
High-performance computing
astrophysical simulation |
0.1 | 1 | 2010 | A distributed workflow for an astrophysical OpenMP application: using the data capacitor over WAN to enhance productivity · HPDC 2010 |
High-performance computing
parallel workflow |
0.1 | 1 | 2010 | A distributed workflow for an astrophysical OpenMP application: using the data capacitor over WAN to enhance productivity · HPDC 2010 |
Storage systems
distributed storage |
0.1 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
Storage systems › file systems › distributed file system
wide-area file system |
0.1 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
Distributed systems
grid computing |
0.0 | 1 | 2004 | The Grid2003 Production Grid: Principles and Practice · HPDC 2004 |
High-performance computing › data transfer
wide-area data transfer |
0.0 | 1 | 2010 | A distributed workflow for an astrophysical OpenMP application: using the data capacitor over WAN to enhance productivity · HPDC 2010 |
High-performance computing
data-intensive computing |
0.0 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
High-performance computing
scientific data management |
0.0 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
High-performance computing
distributed computing infrastructure |
0.0 | 1 | 2004 | The Grid2003 Production Grid: Principles and Practice · HPDC 2004 |
Methods — techniques the papers use, named apart from their topics
iperf · 0.3benchmarking · 0.3OpenMP · 0.1wide-area networking · 0.1lustre · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Performance and quality of service of data and video movement over a 100 Gbps testbedabstractDigital 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 networking solutions have recently been deployed as national infrastructure. This article describes our experiences with data movement and video conferencing across a networking testbed, using the first commercially available single fiber 100 Gbps technology. The testbed is unique in its ability to be configured for a total length of 60, 200, or 400 km, allowing for tests with varying network latency. We performed low-level TCP tests and were able to use more than 99.9% of the theoretical available bandwidth with minimal tuning efforts. We used the Lustre file system to simulate how end users would interact with a remote file system over such a high performance link. We were able to use 94.4% of the theoretical available bandwidth with a standard file system benchmark, essentially saturating the wide area network. Finally, we performed tests with H.323 video conferencing hardware and quality of service (QoS) settings, showing that the link can reliably carry a full high-definition stream. Overall, we demonstrated the practicality of 100 Gbps networking and Lustre as excellent tools for data management. Michael Kluge, Stephen C. Simms, Thomas William, Robert Henschel, Andy Georgi, Christian Meyer 0004, Matthias S. Müller, Craig A. Stewart, Wolfgang Wünsch, Wolfgang E. Nagel |
Future Gener. Comput. Syst. | 2 |
| 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500kmabstractAs 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 performance over a 100 Gbps WAN. To characterize the performance of the network and file system, low level iperf network tests, file system tests with the IOR benchmark, and a suite of real-world applications reading and writing to the file system were run over a latency of 50.5 ms. In this article we describe the configuration and constraints of the demonstration and outline key findings. Robert Henschel, Stephen C. Simms, David Y. Hancock, Scott Michael, Tom Johnson, Nathan Heald, Thomas William, Donald K. Berry, Matthew Allen, Richard Knepper, Matt Davy, Matthew R. Link, Craig A. Stewart |
SC | 2 |
| 2010 | A Revolutionary New Paradigm for the Reduction and Analysis of Astronomical ImagesabstractIn this article we propose a revolutionary new paradigm for the processing and analysis of astronomical image data. We describe a blueprint for a centralized data repository and processing system, which leverages national cyber infrastructure. Included is a brief discussion of the current paradigm in astronomical image processing. The upcoming One Degree Imager (ODI) instrument, to be installed at the Wisconsin, Indiana, Yale and NOAO (WIYN) observatory in 2011, is examined as an ideal use case. Details on the major components and a detailed workflow in the case of data processing for the ODI instrument are highlighted. Scott Michael, Patricia Knezek, Elizabeth B. Stobie, Robert Henschel, Stephen C. Simms |
eScience | 5 |
| 2010 | A distributed workflow for an astrophysical OpenMP application: using the data capacitor over WAN to enhance productivityabstractAstrophysical 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 output data, and rapidly and efficiently analyze this data. To do this effectively, a parallel code is needed that scales to tens or hundreds of processors. Furthermore, an efficient workflow for the transport, analysis, and interpretation of the output data is needed to achieve scientifically meaningful results. Robert Henschel, Scott Michael, Stephen C. Simms |
HPDC | 3 |
| 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitorabstractIndiana 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 exhibit floor utilizing the resources that University Information Technology Services currently provides.Using IU's newly constructed 535 TB Data Capacitor and an additional component installed on the exhibit floor, we will use Lustre across the wide area network to simultaneously facilitate dynamic weather modeling, protein analysis, instrument data capture, and the production, storage, and analysis of simulation data. Stephen C. Simms, Matt Davy, Bret Hammond, Matthew R. Link, Craig A. Stewart, Randall Bramley, Beth Plale, Dennis Gannon, Mu-Hyun Baik, Scott Teige, John C. Huffman, Rick McMullen, Doug Balog, Gregory G. Pike |
SC | 1 |
| 2004 | The Grid2003 Production Grid: Principles and Practice
Ian T. Foster, Jerry Gieraltowski, Scott Gose, Natalia Maltsev, Edward N. May, Alexis A. Rodriguez, Dinanath Sulakhe, A. Vaniachine, Jim Shank, Saul Youssef, David Adams, Richard Baker 0003, Wensheng Deng, Dantong Yu, Iosif Legrand, Conrad Steenberg, M. Anzar Afaq, Eileen Berman, James Annis, L. A. T. Bauerdick, Michael Ernst, Ian Fisk, Lisa Giacchetti, Gregory E. Graham, Anne Heavey, Joseph Kaiser, Nickolai Kuropatkin, Ruth Pordes, Vijay Sekhri, John Weigand, Yujun Wu, Keith Baker, Lawrence Sorrillo, John Huth, Matthew Allen, Leigh Grundhoefer, John Hicks, Fred Luehring, Steve Peck, Robert Quick, Stephen C. Simms, George Fekete, Jan vandenBerg, Kihyeon Cho, Kihwan Kwon, Dongchul Son, Hyoungwoo Park, Shane Canon, Keith R. Jackson, David E. Konerding, Jason Lee 0001, Doug Olson, Iwona Sakrejda, Brian Tierney, Mark Green 0001, Russ Miller, James Letts, Terrence Martin, David Bury, Catalin Dumitrescu, Daniel Engh, Robert W. Gardner, Marco Mambelli, Yuri Smirnov, Jens-S. Vöckler, Michael Wilde, Yong Zhao 0009, Paul Avery, Richard Cavanaugh, Bockjoo Kim, Craig Prescott, Jorge Rodríguez 0002, Andrew Zahn, Shawn McKee, Christopher T. Jordan, James E. Prewett, Timothy L. Thomas, Horst Severini, Ben Clifford, Ewa Deelman, Larry Flon, Carl Kesselman, Gaurang Mehta, Nosa Olomu, Karan Vahi, Kaushik De, Patrick McGuigan, Mark Sosebee, Dan Bradley, Peter Couvares, Alan DeSmet, Carey Kireyev, Erik Paulson 0001, Alain J. Roy, Scott Koranda, Brian Moe, Bobby Brown, Paul Sheldon |
HPDC | 44 |
| 2004 | LINPACK Performance on a Geographically Distributed Linux ClusterabstractSummary 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 network tuning is analyzed based on the performance model of LINPACK. George W. Turner, Daniel A. Lauer, Matthew Allen, Stephen C. Simms, David Hart, Mary Papakhian, Craig A. Stewart |
IPDPS | 5 |