Curriculum Vitae for Faisal Saied
Rosen Center for Advanced Computing/ITaP
and
Computing Research Institute
Purdue University
151 S. Grant Street
West Lafayette, IN 47906-3560
Main Research Interests
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High Performance Computing
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Parallel Algorithms
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Performance Analysis
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Numerical Analysis
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Scientific Computation
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Numerical treatment of partial differential equations
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Sparse Matrix methods
Current/Recent Projects
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Preconditioned iterative solvers
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Large scale parallel eigenvalue solvers
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Performance analysis of parallel scientific programs
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Parallel solvers for three-dimensional groundwater models
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Multigrid solvers for the nonlinear Poisson-Boltzmann equation of bio-physics
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Ocean acoustic models on parallel computers
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Interactive software for multigrid methods
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Scalable Random Number Generator Libraries
Education
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Ph.D., Computer Science,
Yale University, New Haven, CT, 1990
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Diplom Mathematik, Göttingen University, West Germany, 1977
(Corresponds to a M.S. in the U.S.), 1977.
Main subjects: applied and numerical mathematics. Master's Thesis in the area of constrained optimization
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B.A. (Hon.), Trinity College,
Cambridge University, England (Maths. Tripos), 1973
Professional Experience
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Senior Research Scientist, Rosen Center for Advanced Computing at ITaP and
the Computing Research Institute, Purdue University, Mar 2003 -- present.
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Senior Research Scientist, Performance Engineering & Computational Methods Group,
National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, June. 1997 -- Feb 2003.
Assistant Professor, Department of Computer Science, University of Illinois at Urbana-Champaign, 1990-1997.
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Research Scientist, NCSA, University of Illinois at Urbana-Champaign, 1996.
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Visiting Faculty Appointment at the Center for Computational Science, Oak Ridge National Lab, Summer, 1995 and 1996 (6 weeks).
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1992 Navy-ASEE Summer Faculty Research Program, May--July, 1992.
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Lecturer, Department of Computer Science, University of Illinois at Urbana-Champaign, Aug. 1989 -- Jul. 1990.
Teaching Experience
(Department of Computer Science, University of Illinois at Urbana-Champaign, 1989-1997)
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CS/Math 358: Numerical Linear Algebra. Level of course: Seniors and first year graduate students
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CS/Math 359: Numerical Approximation and Ordinary Differential Equations
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CS/Math 350, CSE 301. Numerical Analysis: A Comprehensive Introduction. This is a core requirement in the Computational Science & Engineering Program at the University of Illinois
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CS 497: Special topics courses for graduate students
- Spectral Techniques for the Design and Analysis of Numerical Methods
- Elliptic Problem Solvers
Six publications from recent projects
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James S. Hammonds, Faisal Saied, Mark A. Shannon, "Solving coupled 3-D paraxial wave and thermal diffusion equations with mixed-mode parallel computations". Parallel Computing 33(1), pp. 43-53, 2007.
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Dennis C. Smolarski, Ramesh Balakrishnan, Eduardo F. D'Azevedo, John W. Fettig, Bronson Messer, Anthony Mezzacappa, Faisal Saied, Paul E. Saylor, and F. Douglas Swesty, "On the Performance of SPAI and ADI-like Preconditioners for Core Collapse Supernova Simulations in One Spatial Dimension." Computer Physics Communications, 175, pp. 330--338, 2006.
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Brian Armstrong, Hansang Bae, Rudolf Eigenmann, Faisal Saied, Mohamed Sayeed and Yili Zheng, HPC Benchmarking and Performance Evaluation With Realistic Applications, Proceedings of Benchmarking Workshop 2006, Austin, Texas, January 2006.
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Lin Sun, Chinh Le, Faisal Saied, and Jayathi Y. Murthy, A Highly Scalable Simulation Model for Atomistic Calculation of Thermal Properties of Silicon, PDPTA'06 / RTCOMP'06: June 26-29, 2006
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Shaikh S. Ahmed, Marek Korkusinski, Faisal Saied, Haiying Xu, Seungwon Lee, Mohamed Sayeed, Sebastien Goasguen and Gerhard Klimeck, “Large Scale Simulation in Nanostructures with NEMO3-D on Linux Clusters”, The 6th LCI International Conference on Linux Clusters: The HPC Revolution 2005, April 26-28, 2005, Chapel Hill, North Carolina, USA.
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S. Kilic, F. Saied and A. Sameh, Efficient iterative solvers for structural dynamics problems, Computers and Structures, vol. 82, pp. 2363--2375, 2004.
Five other publications
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Y. Liu, B. S. Minsker, and F. Saied, "A one-way spatial multiscale method for optimal bioremediation design." Journal of Water Resources and Planning Management, 127(2), 130-139, 2001.
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G. Mahinthakumar and F. Saied. Distributed memory implementation of multigrid methods for groundwater flow problems with rough coefficients. In Proceedings of the 1996 High Performance Computing Symposium as part of the 1996 SCS Simulation Multiconference (April 8-11, 96, New Orleans, LA.), 1996.
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J. Bordner and F. Saied. MGLab: An interactive multigrid environment. In S. McCormick, editor, Proceedings of the 1995 Copper Mountain Conference on Multigrid Methods, 1996.
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M. J. Holst and F. Saied. Multigrid and Domain Decomposition Methods for Electrostatics Problems, in Domain Decomposition Methods in Scientific and Engineering Computing. Contemporary Mathematics 180, pp 231--238. Editors: D. E. Keyes and J. Xu, American Mathematical Society, Providence, 1995.
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M. Holst, R. Kozack, F. Saied, and S. Subramaniam. Treatment of electrostatic effects in proteins: Multigrid-based Newton iterative method for solution of the full nonlinear Poisson-Boltzmann equation. Proteins: Structure, Function, and Genetics, 18(3):231--245, 1994.
Synergistic activities
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Five years experience (1997-2003) managing the
Performance Engineering & Computational Methods group at the NSF-funded National Center
for Supercomputing Applications. In this role, directed NCSA’s high end support
for the most advanced users of their largest platforms. Required in-depth
knowledge of HPC technologies such as parallel architectures, parallel
programming, performance analysis and enhancement, parallel scientific
libraries, performance tools, debuggers.
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Bridging the gap between computer scientists (my background
is in Computer Science, Scientific Computing, Parallel Algorithms) and
applications computational scientist. Worked on interdisciplinary research
projects, and have been a co-author on research papers in the following areas:
Computational Acoustics, Bio-physics, Groundwater modeling, Numerical
relativity, Astrophysics, Structural Analysis, nanotechnology.
Thesis advisor for the following students:
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M. J. Holst, former UIUC Ph.D. student, currently at UC, San Diego
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C. Huang, former UIUC Masters’ student
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J. Bordner, former UIUC Ph.D. student, in Mike Norman’s Cosmology group at UC San Diego
My own Ph.D. thesis advisor:
Prof. Martin Schultz, Computer Science Department, Yale University
Professional Memberships
Society for Industrial and Applied Mathematics