Abstract
High-speed computers, though they provide immense numerical processing power, are often unable to improve significantly the execution time of composite computational processes; the bottleneck is a lack of automated intelligent interfaces and higher-level reasoning functions. It is the expectation that the coupling of high-speed numerical computing with the symbolic knowledge of how to employ numerical processing techniques will be necessary to develop the powerful, highly integrated software systems required to solve those large-scale problems in science and engineering currently deemed intractable. Many scientific and engineering problems require very large amounts of computing, and this demand will continue to grow in the foreseeable future. In some application areas such as aerospace structural design, computational fluid dynamics, propulsion, and control systems design, the speed of supercomputers will have to increase two to three orders of magnitude to meet the demands of the technological progress desired in the next decade.
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