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- W44804080 abstract "Software tools for parallel programming used to be a chaotic area, with dozens of contenders promoting different models and methodologies. In the last few years, the field has settled down considerably: there are perhaps half a dozen approaches that are still “in contention.” These include message passing systems of various kinds, data parallel languages for synchronous architectures, explicitly-parallel Fortran variants—and (among a few others) Linda[7], which is the system we've used. C-Linda® (the computing language C mated with the coordination language Linda) has been used to date mainly in scientific applications and in graphics (production Linda applications exist in areas like computational fluid dynamics, molecular modeling, radar cross sectioning, seismic simulations, genetic database search, genetic linkage analysis, ray-tracing and others). In our own group, however, we've long been interested in AI applications. The Linda model, based on a shared, associative, object memory, through which processes communicate “anonymously,” is appropriate (we believe) to a wide range of significant AI applications. In this article we discuss software architectures for data filtering and mining built using Linda." @default.
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- W44804080 date "1994-01-01" @default.
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- W44804080 title "Process Trellis and FGP: Software Architectures for Data Filtering and Mining" @default.
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- W44804080 doi "https://doi.org/10.1016/b978-0-444-81704-4.50021-1" @default.
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