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Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
book

Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences

by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu
October 2000
Intermediate to advanced
288 pages
9h 22m
English
Wiley-Interscience
Content preview from Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences

REFERENCES

1. Y. Bar-Yam, Dynamics of Complex Systems. Addison-Wesley, Reading, MA, 1997.

2. R. G. Belleman, J. A. Kaandorp, and P. M. A. Sloot, A virtual environment for the exploration of diffusion and flow phenomena in complex geometries. Future Generation Computer Sys., 14:209–214, 1998.

3. H. Bersini and V. Detours, Asynchrony induces stability in cellular automata based models. In Proceedings of Fourth Conference on Artificial Life, pp. 382–387, MIT Press, Cambridge, MA, July 1994.

4. K. Binder and D. W. Heermann, Monte Carlo Simulation in Statistical Physics. Springer-Verlag, New York, 1992.

5. D. Bovet and P. Crescenzi, Introduction to the Theory of Complexity. Prentice-Hall, Englewood Cliffs, NJ, 1994.

6. S. G. Brush, History of the Lenz-Ising model. Rev. Mod. Phys., 39:883, 1967.

7. A. W. Burks, Essays on Cellular Automata. University of Illinois Press, Champaign IL, 1970.

8. F. Celada and P. E. Seiden, A computer model of cellular interactions in the immune system. Immunology Today, 13(12):56–62, 1992.

9. K. M. Chandy and J. Misra, Distributed simulation: A case study in design and verification of distributed programs. IEEE Trans. Software Eng., SE-5(5):440–452, Sept. 1979.

10. S. Chen and G. D. Doolen, Lattice Boltzmann method for fluid flows. Ann. Rev. Fluid Mech., 30:329, 1998.

11. B. Chopard and M. Droz, Cellular Automata Modeling of Physical Systems. Cambridge University Press, UK, 1998.

12. J. P. Crutchfield, Critical computation, phase transitions and hierarchical ...

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Publisher Resources

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