Douglas Thain Assistant Professor 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

Recent Papers

• Experience with BXGrid: A Data Repository and Computing Grid for Biometrics Research, Hoang Bui, Michael Kelly, Christopher Lyon, Mark Pasquier, Deborah Thomas, Patrick Flynn, and Douglas Thain, to appear in the Journal of Cluster Computing, Special Issue on e-Science, 2009.
• Harnessing Parallelism in Multicore Clusters with the All-Pairs and Wavefront Abstractions, Li Yu, Christopher Moretti, Scott Emrich, Kenneth Judd, and Douglas Thain, IEEE High Performance Distributed Computing, June 2009.
• All-Pairs: An Abstraction for Data Intensive Computing on Campus Grids, Christopher Moretti, Hoang Bui, Karen Hollingsworth, Brandon Rich, Patrick Flynn, and Douglas Thain, to appear in IEEE Transactions on Parallel and Distributed Systems, 2009. (Preprint Version)
• ENAVis: Enterprise Network Activities Visualization, Qi Liao, Andrew Blaich, Aaron Striegel, and Douglas Thain, USENIX LISA 2008.
• Scaling Up Classifiers to Cloud Computers, Christopher Moretti, Karsten Steinhaeuser, Douglas Thain, and Nitesh V. Chawla, IEEE International Conference on Data Mining, December 2008.
• Grid Heating: Transforming Cooling Constraints Into Thermal Benefits, Paul Brenner, Douglas Thain, and Dewitt Latimer, Technical Report 2008-09, Department of Computer Science and Engineering, University of Notre Dame, July 2008.
• Troubleshooting Thousands of Jobs on Production Grids Using Data Mining Techniques, David Cieslak, Nitesh Chawla, and Douglas Thain, IEEE Grid Computing, September 2008.
• DataLab: Transactional Data Parallel Computing on an Active Storage Cloud, Brandon Rich and Douglas Thain, IEEE/ACM High Performance Distributed Computing, June 2008.
• All-Pairs: An Abstraction for Data-Intensive Cloud Computing, Christopher Moretti, Jared Bulosan, Douglas Thain, and Patrick Flynn, International Parallel and Distributed Processing Symposium, April 2008.
• Chirp: A Practical Global Filesystem for Cluster and Grid Computing, Douglas Thain, Christopher Moretti, and Jeffrey Hemmes, Journal of Grid Computing, Volume 7, Issue 1, page 51, 2009. DOI: 10.1007/s10723-008-9100-5. (Preprint Version)
• (Complete List of Papers)

Recent Talks and Lectures

• Scaling Up Data Intensive Scientific Applications to Campus Grids, keynote talk at Large Scale Application Performance (LSAP) Workshop at HPDC, June 2009.
• High Throughput Computing with Condor at Notre Dame CRC Workshop, April 2009.
• Using Abstractions to Scale Up Applications to Campus Grids, Purdue University, April 2009.
• Using Small Abstractions to Program Large Distributed Systems (and multicore computers), Fermilab, February 2009. , Dec 2008.
• Programming Distributed Systems with High Level Abstractions, Cloud Computing Workshop (CCA-08), Chicago, October 2008.
• Cooperative Computing for Data Intensive Science, NSF Bridges to Engineering 2020 Conference, March 2008.
• Survey of Programming Models for Data Intensive Grid Computing, DPA Workshop, November 2007.
• Efficient Access to Many Small Files in a Filesystem for Grid Computing, IEEE Grid, September 2007.
• (Complete List of Talks)

Research Funding

Professional Service

Nifty Tidbits