Douglas Thain Associate Professor Director of Graduate Studies Computer Science and Engineering University of Notre Dame dthain-at-nd-dot-edu 382 Fitzpatrick Hall

I research and design software that allow people to easily harness large systems consisting of hundreds or thousands of machines. These systems are called clusters, clouds, grids, or simply distributed systems. I am currently looking for new students to join my research lab. For more information, watch this movie, read my blog, or visit my research lab.

Research

Teaching

Most Recent Papers

• Dinesh Rajan, Andrew Thrasher, Badi Abdul-Wahid, Jesus A Izaguirre, Scott Emrich, and Douglas Thain,
  Case Studies in Designing Elastic Applications,
  13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May, 2013.

• Brenden Kokoszka, Patrick Donnelly, and Douglas Thain,
  Search Should be a System Call,
  University of Notre Dame, Computer Science and Engineering Department, Technical Report 2013-03, April, 2013.

• Christopher Moretti, Andrew Thrasher, Li Yu, Michael Olson, Scott Emrich, and Douglas Thain,
  A Framework for Scalable Genome Assembly on Clusters, Clouds, and Grids,
  IEEE Transactions on Parallel and Distributed Systems, 23(12), December, 2012. DOI: 10.1109/TPDS.2012.80

• Badi Abdul-Wahid, Li Yu, Dinesh Rajan, Haoyun Feng, Eric Darve, Douglas Thain, Jesus A. Izaguirre,
  Folding Proteins at 500 ns/hour with Work Queue,
  8th IEEE International Conference on eScience (eScience 2012), October, 2012.

• Peter Sempolinski, Daniel Wei, Douglas Thain and Ahsan Kareem,
  A System for Management of Computational Fluid Dynamics Simulations for Civil Engineering,
  8th IEEE International Conference on eScience, October, 2012.

Most Recent Talks

• Computational Abstractions: Strategies for Scaling Up Applications, Initiative for Computational Economics, University of Chicago, July 2012.
• Real-World Barriers to Scaling Up Scientific Applications, Vrije University, The Netherlands, March 2012.
• Unsolved Computer Science Problems in Distributed Computing, Workshop on Grid Computing: The Next Decade, Zakopane, Poland, January 2012.
• High Throughput Scientific Computing with Condor: Computer Science Challenges in Large Scale Parallelism, University of Alabama at Birmingham, October 2011.
• Opportunities and Dangers in Large Scale Data Intensive Computing, Large Scale Data Mining Workshop at SIGKDD, August 2011.
• Condor Compatible Tools for Data Intensive Computing, Condor Week, Madison WI, May 2011.
• Models and Frameworks for Data Intensive Cloud Computing, IDGA Cloud Computing Summit, Washington DC, February 2011.
• Experience with Cloud Adoption at Notre Dame, IEEE Cloud Computing, November 2010.
• Scaling Up Data Intensive Science to Campus Grids, at Clemson University, September 2009.
• Science in the Clouds: History, Challenges, and Opportunities, opening talk at Cloud Computing and the Geosciences Workshop, IUPUI, Indianapolis, September 2009.
• (Complete List of Talks)

Research Funding

Professional Service

Ph.D. Graduates

Nifty Tidbits