Full Publication List

NOTE: Excludes Tech Reports.  


Xingfu Wu, Hung-Ching Chang, Shirley Moore, Valerie Taylor, Chun-Yi Su, Dan Terpstra, Charles Lively, Kirk Cameron, and Chee Wai Lee. 2013. MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling. In Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery (XSEDE '13). ACM, New York, NY, USA, , Article 36 , 8 pages. DOI=10.1145/2484762.2484773 http://doi.acm.org/10.1145/2484762.248477.



Shirley Moore, Emil Briggs, Miroslav Hodak, Wenchang Lu, Jerry Bernholc and Chee-Wai Lee. Scaling the RMG quantum mechanics code. In Proceedings of the Extreme Scaling Workshop, 8:1-6, 2012. [http://dl.acm.org/citation.cfm?id=2462077.2462085]

Allen Malony, Sameer Shende, Wyatt Spear, CheeWai Lee, and Scott Biersdorff . Advances in the TAU Performance System. In Tools for High Performance Computing 2011, pages 119-130. Springer Berlin Heidelberg, 2012.

Wyatt Spear, Allen D. Malony, Chee Wai Lee, Scott Biersdorff and Sameer Shende. An Approach to Creating Performance Visualizations in a Parallel Profile Analysis Tool. In Lecture Notes in Computer Science: Euro-Par 2011: Parallel Processing Workshops, 7156:156-165, 2012.


Chee Wai Lee, Allen D. Malony and Alan Morris. TAUmon: Scalable Online Performance Data Analysis in TAU. In Lecture Notes in Computer Science: Euro-Par 2010 Parallel Processing Workshops, 6586:493-499, 2011.


Isaac Dooley, Chee Wai Lee and Laxmikant V. Kalé. Continuous Performance Monitoring for Large-Scale Parallel Applications. In International Conference on High Performance Computing (HiPC 2009), Kochi (Cochin), India, December 2009.
[IEEE Xplore]

Scott Biersdorff, Chee Wai Lee, Allen D. Malony and Laximkant V. Kalé. Integrated Performance Views in Charm++: Projections Meets TAU. In The 38th International Conference On Parallel Processing (ICPP-2009), Vienna, Austria, September 22-25, 2009.

Filippo Gioachin, Chee Wai Lee and Laxmikant V. Kalé.  Scalable Interaction with Parallel Applications. In Proceedings of TeraGrid'09, Arlington, VA, June 22-25, 2009.


Chee Wai Lee, Celso Mendes and Laxmikant V. Kalé. Towards Scalable Performance Analysis and Visualization through Data Reduction. In 13th International Workshop on High-Level Parallel Programming Models and Supportive Environments, Miami, Florida, USA, April 2008.
[IEEE Xplore]


Laxmikant V. Kale, Gengbin Zheng, Chee Wai Lee and Sameer Kumar. Scaling Applications to Massively Parallel Machines Using Projections Performance Analysis Tool. Future Generation Computer Systems Special Issue on: Large-Scale System Performance Modeling and Analysis, 22(3):347-358, February 2006.

Chao Huang, Chee Wai Lee and Laxmikant V. Kalé. Support for Adaptivity in ARMCI Using Migratable Objects. In Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International, pages 9 pp., April 2006.


Laxmikant V. Kalé and Sameer Kumar and Gengbin Zheng and Chee Wai Lee. Scaling Molecular Dynamics to 3000 Processors with Projections: A Performance Analysis Case Study. In Terascale Performance Analysis Workshop, International Conference on Computational Science (ICCS), Melbourne, Australia, June 2003.


Phd Thesis:
Chee Wai Lee. Techniques in Scalable and Effective Parallel Performance Analysis, Department of Computer Science, University of Illinois at Urbana-Champaign, December 2009.

Masters Thesis:
Chee Wai Lee.  A BaLinda Runtime for Java, Department of Computer Science, School of Computing, National University of Singapore, 2000.


Book Chapter:
Filippo Gioachin, Chee Wai Lee, Jonathan Li ander, Yanhua Sun, and Laxmikant Kal e. Parallel Science and Engineering Applications: The Charm++ Approach (Series in Computational Physics), chapter Tools for Debugging and Performance Analysis, 2013.