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As computers increase in speed and memory, scientists are inevitably led to simulate more complex systems over larger time and length scales. Although a simple, straightforward algorithm is often the most efficient for small systems, especially when the time needed to implement the algorithm is included, the scaling of time and memory with system size becomes crucial for larger simulations.

M. C. Kuntz, K. A. Dahmen, O. Perkovic, B. W. Roberts and J. P. Sethna, "Hysteresis, Avalanches, and Noise," in Computing in Science & Engineering, vol. 1, no. , pp. 73-81, 1999.
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