Award Abstract # 1341006
CC-NIE Networking Infrastructure: Enhancing the OrangeGrid - Upgrading the Syracuse Campus Network to Enable High Throughput Research Computing

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: SYRACUSE UNIVERSITY
Initial Amendment Date: August 30, 2013
Latest Amendment Date: August 30, 2013
Award Number: 1341006
Award Instrument: Standard Grant
Program Manager: Kevin Thompson
kthompso@nsf.gov
 (703)292-4220
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: January 1, 2014
End Date: December 31, 2015 (Estimated)
Total Intended Award Amount: $498,452.00
Total Awarded Amount to Date: $498,452.00
Funds Obligated to Date: FY 2013 = $498,452.00
History of Investigator:
  • Christopher Sedore (Principal Investigator)
    chris.sedore@tufts.edu
  • Duncan Brown (Co-Principal Investigator)
  • Eric Sedore (Co-Principal Investigator)
Recipient Sponsored Research Office: Syracuse University
900 S CROUSE AVE
SYRACUSE
NY  US  13244-4407
(315)443-2807
Sponsor Congressional District: 22
Primary Place of Performance: Syracuse University
Science & Technology Ctr
Syracuse
NY  US  13244-4100
Primary Place of Performance
Congressional District:
22
Unique Entity Identifier (UEI): C4BXLBC11LC6
Parent UEI:
NSF Program(s): Campus Cyberinfrastructure
Primary Program Source: 01001314DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7433
Program Element Code(s): 808000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Syracuse University's OrangeGrid uses the HTCondor High Throughput Computing System and a custom virtual machine manager to allow idle computers in offices and student labs to run research-computing tasks. With over 7000 CPU cores, and growing, OrangeGrid is used by Syracuse University's research and teaching community for science and engineering applications. Science drivers for OrangeGrid come from a diverse range of projects, including gravitational-wave astronomy, biological physics, theoretical condensed-matter physics, computational fluid dynamics, high-energy physics, Earth sciences, soft matter physics, and biomedical and chemical engineering.

The CC-NIE Networking Infrastructure project at Syracuse University upgrades the campus network infrastructure to support data-intensive research computing on OrangeGrid. This project increases the campus backbone bandwidth from 10Gbps to 40Gbps and provides 10Gbps links to the buildings providing the largest number of OrangeGrid cores. This project directly affects the usability and productivity of OrangeGrid, opening it to a wider-range of science and engineering projects from SU researchers.

OrangeGrid is an important resource for Syracuse University's faculty and students. The combination of easy access and power make OrangeGrid especially important to beginning researchers and small groups who do not have their own computing resources. Undergraduate and graduate students from the College of Engineering and Computer Science and the College of Arts and Sciences have access to OrangeGrid, giving them early experience with high-throughput research computing. The experiences gained from running OrangeGrid provide a road map for other universities who wish to leverage unused cycles from desktop computing for scientific research.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 13)
Abbott, B. P. et al (The LIGO Scientific Collaboration and the Virgo Collaboration) "Astrophysical Implications of the Binary Black-Hole Merger GW150914" Astrophys. J. , v.818 , 2016 , p.L22 10.3847/2041-8205/818/2/L22
Abbott, B. P. et al (The LIGO Scientific Collaboration and the Virgo Collaboration) "Observation of Gravitational Waves from a Binary Black Hole Merger" Phys. Rev. Lett. , v.116 , 2016 , p.061102 10.1103/PhysRevLett.116.061102
Barkett, Kevin et al. "Gravitational waveforms for neutron star binaries from binary black hole simulations" Phys. Rev. , v.D93 , 2016 , p.044064 10.1103/PhysRevD.93.044064
Dal Canton, Tito et al. "Implementing a search for aligned-spin neutron star-black hole systems with advanced ground based gravitational wave detectors" Phys. Rev. , v.D90 , 2014 , p.082004 10.1103/PhysRevD.90.082004
Duanduan Wan and Mark J. Bowick "Planar and curved droplet networks" EPL (Europhysics Letters) , v.113 , 2016 , p.16003 10.1209/0295-5075/113/16003
Duanduan Wan, Mark J. Bowick, Rastko Sknepnek "Effects of scars on crystalline shell stability under external pressure" Physical Review E , 2015
Emma Whittington and Qian Zhao and Kirill Borziak and James R. Walters and Steve Dorus "Characterisation of the Manduca sexta sperm proteome: Genetic novelty underlying sperm composition in Lepidoptera" Insect Biochemistry and Molecular Biology , v.62 , 2015 , p.183 - 193 http://dx.doi.org/10.1016/j.ibmb.2015.02.011
Huang, Yangziand Green, Melissa A. "Detection and tracking of vortex phenomena using Lagrangian coherent structures" Experiments in Fluids , v.56 , 2015 , p.1--12 10.1007/s00348-015-2001-z
Kumar, Prayush and Barkett, Kevin and Bhagwat, Swetha and Afshari, Nousha and Brown, Duncan A. and Lovelace, Geoffrey and Scheel, Mark A. and Szilagyi, Bela "Accuracy and precision of gravitational-wave models of inspiraling neutron star-black hole binaries with spin: Comparison with matter-free numerical relativity in the low-frequency regime" Phys. Rev. , v.D92 , 2015 , p.102001 10.1103/PhysRevD.92.102001
M. Cristina Marchetti and Yaouen Fily and Silke Henkes and Adam Patch and David Yllanes "Minimal model of active colloids highlights the role of mechanical interactions in controlling the emergent behavior of active matter" Current Opinion in Colloid & Interface Science , v.21 , 2016 , p.34 - 43 http://dx.doi.org/10.1016/j.cocis.2016.01.003
Yang, Xingbo and Manning, M. Lisa and Marchetti, M. Cristina "Aggregation and segregation of confined active particles" Soft Matter , v.10 , 2014 , p.6477-6484 10.1039/C4SM00927D
(Showing: 1 - 10 of 13)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project provided funding to upgrade the Syracuse University campus network backbone from 10 Gigabit to 40 Gigabit links, and to upgrade building connectivity from 1 Gigabit to 10 Gigabit. These network upgrades were targeted to support OrangeGrid, a high-throughput computing grid constructed from idle cycles on Syracuse University's desktop computing. Scientists from a variety of disciplines at Syracuse University have been using OrangeGrid for science and engineering projects. 

Over 75 scientists have made significant used Orange Grid computational resources in the last two years. The total number of CPU hours provided to the projects listed in last year's report by the infrastructure enabled by this project is:

  • Soft Matter Physics: 10 million CPU hours
  • Gravitational-wave Astronomy: 158 million CPU hours
  • Fluid Mechanics Research: 1.8 million CPU hours
  • Computational Chemistry: 7.8 million CPU hours
  • Computational Biology: 19 million CPU hours
  • Quantum Gravity: 1.2 million CPU hours

During the two years of this award, this computing has led to 22 peer-reviewed publications, with more publications in progress.

In addition 60 million CPU hours have been comitted to citizen science projects and 54 million CPU hours to the Open Science Grid.

Use of OrangeGrid has been integrated into the graduate and undergraduate teaching curriculum at Syracuse University, allowing students to learn the methods of high-throughput computing for use in their research. 50% of the scientists making high use of OrangeGrid were graduate students. Two undergraduate students consumed over 2.6 million CPU hours on research projects that led to scientific publications.

 

 



Last Modified: 03/30/2016
Modified by: Duncan A Brown

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