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\begin{centering}
{\Large \bf PAUL D. CODDINGTON} 
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{\bf EDUCATION:}
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1983-88: \quad Ph.D. in theoretical physics, University of Southampton, U.K.
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1979-82: \quad 
B.Sc. with first class honours in physics, double major in mathematics,
University of Western Australia, Perth, Australia.
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{\bf PROFESSIONAL EXPERIENCE:}
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1992-present: \quad Research Scientist at the Northeast Parallel
Architectures Center, Syracuse University.
\begin{itemize}
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\item
Leading a project to develop a real-time parallel renderer for digital 
terrain models, for an educational application involving an interactive 
flight simulation.
\item
Leading a project on the use of parallel computing in the power utility
industry, in collaboration with Niagara Mohawk Power Corporation.
This involves porting existing code to parallel computers, and developing
parallel algorithms for sparse matrix computations, differential-algebraic
equation solvers, and optimization techniques.
\item
Development of parallel algorithms for graph coloring and connected component
labeling, random number generators, optimization techniques, and Monte Carlo
simulation for various computational physics problems. This is done in 
conjunction with the National Software Exchange and High Performance 
Fortran Applications projects.
\item
Helped set up a World Wide Web server for NPAC.
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1990-92: \quad Research Associate in the Physics Department, Syracuse
University, affiliated with the Northeast Parallel Architectures Center. 
\begin{itemize}
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\item
Developed sequential and parallel Monte Carlo algorithms for simulations
of spin models of magnetism and random surfaces models of quantum gravity. 
\item
Wrote sequential and parallel Fortran programs for the High Performance
Fortran test suite.
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Studied the the use of networks of workstations for parallel computing.
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1988-90: \quad Research Fellow in the Physics Department, working in the 
Caltech Concurrent Computation Group, California Institute of Technology,
Pasadena, U.S.A.
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\item
Developed parallel algorithms for non-local Monte Carlo cluster
algorithms for spin models of magnetism, including parallel connected 
component labeling algorithms for different parallel computer
architectures.
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1987-88: \quad Research Assistant in the Concurrent Computation Group of 
the Department of Electronics and Computer Science 
and the Transputer Support Center, University of Southampton, U.K.
\begin{itemize}
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\item
Implemented parallel matrix algorithms on transputer arrays.
\item
Ported a sequential Fortran code modeling ocean current flow to a 
transputer array.
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Helped set up and run the Transputer Support Center, a campus-affiliated 
training and consultancy center. 
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Wrote and modified demonstration programs and documentation for training 
courses.
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1986-87: \quad Research Assistant in the Physics Department, 
University of Southampton, U.K.
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\item
Developed parallel algorithms for transputer arrays to perform numerical
studies of problems in quantum field theory and condensed matter physics, 
including simulations of models of magnetism and the quantum Hall effect.
\end{itemize}
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{\bf TECHNICAL EXPERTISE}
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10 years experience in high-performance parallel computing.
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Parallel computers used include the
Encore Multimax, Sequent Symmetry, BBN Butterfly,
ICL and AMT DAP, Thinking Machines CM-2 and CM-5, Maspar MP-100,
Meiko Computing Surface, nCUBE/10, nCUBE/2, Intel iPSC, Symult S2010,
Intel Touchstone Delta, IBM SP-1, as well as networks of 
Sun, DEC, IBM, and Hewlett-Packard workstations. 
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Familiar with Pascal, Fortran 77, C, perl,
DAP Fortran, *Lisp, CM Fortran, C*, Fortran 90, High Performance Fortran,
occam, Express C and Fortran, MPL, MP Fortran.
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{\bf SELECT PUBLICATIONS}
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\begin{enumerate}

\item
G.C.~Fox and P.D.~Coddington,
{\it Parallel Computers and Complex Systems},
in T.~Bossomaier and D.~G.~Green, editors,
{\it Complex Systems},
(Cambridge University Press, Cambridge, in press).

\item
G.C. Fox and P.D. Coddington, 
{\it An Overview of High Performance Computing for the Physical Sciences}, 
Proceedings of the Mardi Gras Conference on 
High Performance Computing and Its Applications in the Physical Sciences,
Baton Rouge, LA (February 1993), ed. D.A.~Browne {\it et al.},
(World Scientific, Singapore, 1994).

\item 
P.D. Coddington, 
{\it Analysis of Random Number Generators Using Monte Carlo Simulation}, 
Int. J. Mod. Phys. C {\bf 5}, 547 (1994).

\item 
P.D. Coddington, 
{\it An Analysis of Distributed Computing Software and Hardware for
Applications in Computational Physics}, 
Proceedings of the Second International Symposium
on High Performance Distributed Computing (HPDC-2), Spokane, WA (July 1993).

\item
J. Apostolakis, P. Coddington and E. Marinari, 
{\it New SIMD Algorithms for Cluster Labeling on Parallel Computers}, 
Int. J. Mod. Phys. C {\bf 4}, 749 (1993). 

\item
C.F. Baillie and P.D. Coddington, 
{\it Cluster Identification Algorithms for Spin Models --- 
Sequential and Parallel}, 
Concurrency: Practice and Experience {\bf 3}, 129 (1991).

\item 
M.~Bowick, P.~Coddington, L.~Han, G.~Harris and E.~Marinari, 
{\it The Phase Diagram of Fluid Random Surfaces with Extrinsic Curvature}, 
Nucl. Phys. B {\bf 394}, 791 (1993).

\item
P.D. Coddington and C.F. Baillie, 
{\it Empirical Relations Between Static and Dynamic Exponents 
for Ising Model Cluster Algorithms}, 
Phys. Rev. Lett. {\bf 68}, 962 (1992).

\item
C.F. Baillie and P.D. Coddington, 
{\it Comparison of Cluster Algorithms for 2-D Potts Models}, 
Phys. Rev. B {\bf 43}, 10617 (1991).

\item
P. Coddington, A. Hey, J. Mandula and M. Ogilvie, 
{\it The Lattice Photon Propagator}, 
Phys. Lett. {\bf B197}, 191 (1987).

\end{enumerate}

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