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  Fast Prdolyping of Datapalh-lntensive

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by C. Chu
http://www.cs.ucla.edu/~miodrag/papers/Rabaey_DT_91.pdf
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Abstract:

The fast pratetyping of datapath intensive architectures--such as those used in high-performance, real-time systems in telecommunications, speech, video, and image processing--is inettective and time consuming at present. All example of this type of architecture appears in Figure 1, which shows an example of the datapath section of a Viterbi processor used in connected speech recognition. Because this processor demands extremely high tlrroughput, a classical bn Neumann style of architecture is not acceptable. In the Van Nanmann style,all operations are muitiplexed on a single-data general-purpose datapath, and the content of the controller largely determines functionality: In this processor, the small ratio of sampling frequency to clock frequency prohibits exten-sive operation multiplexing. Thus, the emphasis shifts from the control to the datapath section. As Figure I shows, the datapath is almost a direct representation of the computation graph, and each operator has dedicated hardware assigned to it. Extensive pipelining helps to meet the clocking requirements. The processor's

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