Sistemas Complejos en Máquinas Paralelas

Profesor: Dr. Guillermo Marshall marshalg en mail.retina.ar


 

Bibliografía

M. Barnsley, Fractals Everywhere, Academic Press, New York, 1988.

M. Barnsley. The Desktop Fractal Design Handbook, (manual y  diskette), Academic Press, New York, 1989.

R. Courant, K. Friedrichs and H. Lewy, IBM Journal, 11 (1967)  215 (traduccion inglesa del trabajo original publicado en   Math. Annalen, 100, (1928) 32).

R. L. Devaney, Chaos, Fractals, and Dynamics: computer experiments in mathematics, Addison-Wesley, Menlo Park, 1990.

R. L. Devaney, An Introduction to Chaotic Dynamical Systems,   Addison-Wesley, Menlo Park, 1989.

H. Dietz, “Linux Parallel Processing: HowTo”, http://www.ecn.purdue.edu/~pplinux , v980105, 1998.

A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek, V. Sunderam, “PVM: Parallel Virtual Machine. A User’s Guide and Tutorial for Networked Parallel Computing”, MIT Press, 1994.

J.Glimm, G. Marshall and B. Plohr, A generalized Riemann  Problem for Quasi-One-Dimensional.

Gas Flows, Advances in    Applied Mathematics, Vol. 5, 1984.

W. Gropp, E. Lusk, A. Skjellum, “Using MPI: Portable Parallel Programming with Message Passing Interface”, MIT Press,  Second Edition, 1999.

W. Gropp, E. Lusk, and R. Thakur, “Using MPI-2: Advanced features of the Message-Passing Interface”, Janusz Kowalik Editor, MIT Press, 1999.

W. Hackbusch and U. Trottemberg, Multigrid methods, Springer, Berlin, 1982.

H. Haken, Synergetics: An Introduction, 2nd. Ed., Springer, Berlin, 1978.

H. Haken, Ed. Dynamics of Synergetic Systems, Springer, Berlin, 1980.

 M. H. Kalos and P. A. Whitlock, Monte Carlo methods, Vol. I: Basics, Wiley, New York, 1986.

S. Kirkpatrick, C. Gelatt, and M. Vecchi, Optimization by simulated annealing, Science, vol. 220, (1983) 671.

L. Lapidus and G. F. Pinder, Numerical Solution of Partial Differential Equations in Science and Engineering, Wiley, New York, 1982.

E. Lawler, J. Lenstra, A. Rinnooy Kan, and D. Shmoys, Ed., The Travelling Salesman Problem, Wiley, 1973.

B. McCarty, Learning Red Hat Linux, O’Reilly, 1999.

B. B. Mandelbrot, The Fractal Geometry of Nature, Freeman, San Francisco, 1982.

G. Marshall and R. Mendez, Computational aspects of the Random Choice Method for shallow water equations, J. Comput. Physics, 
Vol. 39, No. 1, 1981.

G. Marshall and A. Menendez, Numerical solution of the dam failure problem by the Random Choice Method, Adv. Water Res., 
Vol. 4, No. 3, 1981.

G. Marshall and A. Menendez, Numerical treatment of non conservation forms of the equations of shallow water theory, 
J. Comput. Phys. Vol. 44, No.1, 1982.

G. Marshall and B. Plohr, A Random Choice Method for  Two-Dimensional Steady Supersonic Shock Wave Diffraction Problems, 
J. Comput. Phys., Vol. 56, No.3, 1984.

G. Marshall, Solucion numerica de ecuaciones diferenciales,   Tomo I : ecuaciones diferenciales ordinarias (1985); Tomo II: ecuaciones en derivadas parciales (1986), Reverte, Buenos  Aires.

G. Marshall, A Front Tracking Method for One Dimensional  Moving Boundary Problems, SIAM J. Sc. Stat. Comput., 
Vol. 7,    Nr. 1, 1986.

G. Marshall, Monte Carlo Finite Difference Methods for the Solution of Hyperbolic Equations, in J. Ballmann and R.  Jeltsch, Ed. Nonlinear Hyperbolic Equations-Theory, Computations Methods, and Applications, Notes in Numerical  Fluid Mechanics Vol. 24, Vieweg, Braunschweig, 1989.

G. Marshall, Monte Carlo methods for the solution of nonlinear partial differential equations, Comput. Phys. Comm. Vol. 56, 51, 1989, 
North Holland.

G. Marshall and E. Arguijo, Growth Pattern Formation in Benard  Flows, Physica A  (1992) 185.

G. Marshall and E. Arguijo, Growth Pattern Formation Driven by External Flows, Chaos, Solitons and Fractals, Vol.2, No.1, 1992, 531.

G. Marshall and L. Lam, Complex Systems in Computational Physics, Editors, , Proceedings of the First International   Conference on Complex Systems in Computational Physics, Buenos Aires, October 18-22, 1993,  in Chaos, Solitons and Fractals, Vol. 6, (1995), Pergamon, 400 pp.

G. Marshall, E. Perone, P. Tarela and P. Mocskos, A  Macroscopic Model for Growth Pattern Formation in Electrodeposition,  Chaos, Solitons and Fractals, Vol. 6, (1995) 315, Pergamon.

G. Marshall, S. Tagtachian and L. Lam, Pattern Formation in Copper Electrodeposition: Experimental and Computational Modelling,  Chaos, Solitons and Fractals, Vol. 6, (1995) 3250.

G. Marshall and  P. Mocskos,  A Growth Model for Ramified Electrochemical Deposition in the Presence of Diffusion, Migration and Electroconvection , Phys. Rev. E 55,  (1997) 549.

G. Marshall, P. Mocskos, H. L. Swinney and J. M. Huth, Buoyancy and Electrical Driven Convection Models in Thin-layer Electrodeposition, Phys. Rev. E 59 (1999) 2157.

G. Marshall, Introducción a los sistemas complejos de la física e ingeniería computacionales, Notas de clases (2001). (Solicitar copia al autor).

 J. C. Bradley, S. Dengra, G. A. Gonzalez, G. Marshall and F. V. Molina, Ion transport and deposit growth in spatially coupled bipolar electrochemistry, J. Electroanal. Chem. 478 (1999) 128.

S. Dengra, G. Marshall and F. Molina, Front tracking in thin-layer electrodeposition, J. of the Physical. Society of Japan 69 (2000) 963.

D. E. Knuth, The Art of Computer Programming, Vol. 2, Addison-Wesley, Reading, Massachussets, 1969.

J. M. Ortega and R. G. Voigt, SIAM Rev. 27, (1985) 2.

P. Pacheco, Parallel programming with MPI, Morgan Kaufmann, San Francisco, 1997.

L. Pietronero and E. Tosati, Eds., Fractal in Physics, North   Holland, Amsterdam, 1986.

W. H. Press, B. Flannery, S. Teukolsky and W. T. Vetterling,   Numerical Recipes (texto, manual de uso de subrutinas y diskette), Cambridge University Press, Cambridge, 1986.

Proyecto Beowulf de la Universidad de Drexel: http://www.physics.drexel.edu; Proyecto Beowulf de CESDIS en la NASA: http://cesdis1.gsfc.nasa.gov/beowulf.

R. D. Richtmyer and K. W. Morton, Difference Methods for   Initial Value Problems. Interscience, New York, 1967.

Y. A. Schreider, The Monte Carlo Method, Pergamon, New York, 1966.

H. G. Solari, M. A. Natiello and G. M. Mindlin, Nonlinear Dynamics: a two way trip from physics to math, Institute of Physics Publishing, London, 1996.

D. HM Spector, Building Linux clusters, O’Reilly, 2000.

H. Takayasu, Fractal in the Physical sciences, Manchester University Press, U.K., 1990.

Thomas L. Sterling, John Salmon, Donald J. Becker, and Daniel F. Savarese, “How to Build A Beowulf: guide to the implementation and application of PC Clusters” Scientific and Engineering Computation Series, MIT Press, 1999.

T. Vicsek, Fractal Growth Phenomena, World Scientific,Singapore, 1989.

G. Weisbuch, Complex Systems Dynamics, Addison-Wesley, 1991.

S. Wolfram, Theory and Applications of Cellular Automata,  World Scientific, 1986.