Abstract
The first part of the article describes the power of special purpose computing registers in solving many-particle interaction problems. Dedicated logic and analog circuits are used in combination with general purpose digital computers to implement specific algorithms in hardware. A significant increase in computational speed can thus be obtained. An example is the fast generation of random numbers for Monte Carlo experiments. Hybrid external processors are able to deliver up to 10 7 truly random numbers per second. The prospects for these hybrid techniques in computational physics are discussed. Modern semi-automatic design techniques with the availability of medium scale integrated components allow a competitive design time for the hardware construction compared to the conventional software implementation. In the second part of the article results are described for a 100 x 100 Ising model, calculated with the algorithm of Yang. Also a model of the growth of crystals in a saturated solution is numerically evaluated by a hardware implementation of a special algorithm.
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