Chee Lee
PhD Students
at illinois.edu
Profile
I was a Phd graduate student working for Prof Kale at the Parallel Programming Lab. I used to work in collaboration with members of the Theoretical and Computational Biophysics Group at the Beckman Institute, UIUC.

UPDATE (3/31/2010)

I have graduated and am (as of 3/31/2010) now working as a Computer Scientist with the Performance Research Laboratory, Neuroinformatics Center at the University of Oregon. I will be involved in the research and development of performance tool features for TAU.

My new web home can be found at:
http://ix.cs.uoregon.edu/~cheelee.

Research Areas
Papers
13-44
2013
[Paper]
Parallel Science and Engineering Applications: The Charm++ Approach: Chapter 3: Tools for Debugging and Performance Analysis [Book 2013]
09-13
2009
[PhD Thesis]
Techniques in Scalable and Effective Parallel Performance Analysis [Thesis 2009]
09-08
2009
[Paper]
Continuous Performance Monitoring for Large-Scale Parallel Applications [HiPC 2009]
09-05
2009
[Paper]
Integrated Performance Views in Charm ++: Projections Meets TAU [ICPP 2009]
| Scott Biersdorff | Chee Lee | Allen Malony | Laxmikant Kale
09-03
2009
[Paper]
Scalable Interaction with Parallel Applications [TeraGrid 2009]
08-05
2008
[Paper]
Towards Scalable Performance Analysis and Visualization through Data Reduction [HIPS 2008]
07-06
2007
[Paper]
Scalable Techniques for Performance Analysis [CS Res. & Tech. Report 2007]
06-02
2006
[Paper]
Support for Adaptivity in ARMCI Using Migratable Objects [POHLL 2006]
05-19
2005
[Paper]
Performance Visualization and Analysis of Parallel Discrete Event Simulations with Projections [PPL Technical Report 2005]
04-05
2004
[Paper]
Scaling Applications to Massively Parallel Machines Using Projections Performance Analysis Tool [FGCS 2004]
03-03
2003
[Paper]
Scaling Molecular Dynamics to 3000 Processors with Projections: A Performance Analysis Case Study [Workshop on Terascale Performance Analysis at ICCS 2003]
Talks/Posters
09-29
2009
[Talk]
Techniques in Scalable and Effective Performance Analysis [PPL Talk 2009]
08-21
2008
[Talk]
Towards Scalable Performance Analysis and Visualization through Data Reduction [IPDPS 2008]