Stream Computing

Kak, Subhash

arXiv.org Artificial Intelligence 

Stream computing is often seen to be embodied in compute-intensive kernel functions that are applied to each element in the data stream one at a time. These kernel functions operate in sequence in a pipelined fashion in what is essentially SIMD (single instruction multiple data) architecture. The advantage of doing this is the simplification of interconnects to get large increase in performance and in simplified programming. This processing is a take off on the style of computing that is found in DSP applications such as in voice, images, and video applied to a much larger range of applications. Here we speak of stream computing in a much larger philosophical setting that is sometimes expressed in the idea of stream of consciousness. In literature, this idea is meant to imply the internal monologue that goes on in the mind.

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