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The main characteristic of most powerful parallel systems is that their architecture is oriented towards specific types of problems to be computed. Such an orientation limits the range of tasks that can be effectively solved. As a result, systems are produced in small quantities which must bear all the costs of software and hardware development, and which are, as a result, very expensive. This slows down the computerization of many other complex problems just because they require that new high cost parallel systems be manufactured for their computation.
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Kartashev et al. (1979) studied this question.
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