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The recurrent theme of this paper is that sequences of long temporal patternsas opposed to sequences of simple statements are to be fed into computationdevices, being them (new proposed) models for brain activity ormulti-core/many-core computers. In such models, parts of these long temporalpatterns are already committed while other are predicted. This combination ofmatching patterns and making predictions appears as a key element in producingintelligent processing in brain models and getting efficient speculativeexecution on multi-core/many-core computers. A bridge between these far-apartmodels of computation could be provided by appropriate design of massivelyparallel, interactive programming languages. Agapia is a recently proposedlanguage of this kind, where user controlled long high-level temporalstructures occur at the interaction interfaces of processes. In this paperAgapia is used to link HTMs brain models with TRIPS multi-core/many-corearchitectures.

New parallel programming language design: a bridge between brain models and multi-core/many-core computers?