Francois Rohrbach

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We show that the latest version of massively parallel processing associative string processing architecture (System-V) is applicable for fast Monte Carlo simulation if an effective on-processor random number generator is implemented. Our lagged Fibonacci generator can produce 10 random numbers on a processor string of 12K PE-s. The time dependent Monte(More)
In the future, many institutions from countries distributed throughout Europe will be expected to collaborate to provide patient healthcare information in which petabytes of data must be stored. With increasing complexity of the organisation, data and functions of healthcare organisations, information systems need to be increasingly flexible and extensible,(More)
In view of the tremendous computingpower jump of modern RISC processors the interest in parallel computing seems to be thinning out. Why use a complicated system of parallel processors, if the problem can be solved by a single powerful micro-chip? It is a general law, however, that exponential growth will always end by some kind of a saturation, and then(More)
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