• Projects at the Scalable Computing Lab, P. Raghavan, Click here to access the slides (pdf).
• On Improving Performance and Energy Profiles of Sparse Scientific Applications, K. Malkowski, I. Lee, P. Raghavan and M. Irwin, 20th IEEE International Parallel and Distributed Symposium, IPDPS'06, Next Generation Software Workshop, Click here to access the slides (pdf).
Scalable Hybrid Sparse Solvers, K. Teranishi (thesis defense), Click here to access the slides (pdf). Also presented as: On the Performance of Parallel Preconditioners Based on Factors and Inverses, K. Teranishi and P. Raghavan, PARA'04, Workshop On State-Of-The-Art In Scientific Computing, Lyngby, Denmark, June 20 - 23, 2004.
• Composite and Adaptive Solvers, P. Raghavan, S. Bhowmick, L. McInnes, and B. Norris, Challenges in High Performance Simulations for Science and Engineering, Dagstuhl Seminar 03111, Schloss Dagstuhl, International Conference and Research Center For Computer Science Universitdt des Saarlandes, Germany, March 9 - 14, 2003. Click here to access the slides (pdf).
• Towards A Grid Enabled System for Multicomponent Materials Design, K. Teranishi, P. Raghavan and Z.K. Liu, IEEE International Symposium on Cluster Computing and the Grid, Chicago, Illinois, April 19 - 22, 2004. Click here to access the slides (pdf).
• Ordering Schemes for Preconditioning with Sparse Incomplete Factors, P. Raghavan, I. Lee and E. Ng, 2003 International Conference On Preconditioning Techniques For Large Sparse Matrix Problems In Scientific And Industrial Applications Napa, October 27 - 29, 2003. Click here to access the slides (pdf).
• A Combinatorial Scheme for Developing Efficient Composite Solvers, P. Raghavan, S. Bhowmick, and K. Teranishi, International Conference on Computational Science, Workshop on Modern Numerical Algorithms, Amsterdam, Netherlands, April 24 - 28, 2002. Click here to access the slides (pdf).

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