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Titlebook: Optimal VLSI Architectural Synthesis; Area, Performance an Catherine H. Gebotys,Mohamed I. Elmasry Book 1992 Kluwer Academic Publishers 199

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Simultaneous Scheduling, and Selection and Allocation of Functional Unitsn this chapter. In general the problem is modeled as an assignment problem, where the variables represent a placement of code operations in two-dimensional space. The two-dimensional space is defined by time (in terms of control steps) and area (in terms of functional units).
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Oasic: Area-Delay Constrained Architectural Synthesisize the selection of types of functional units without the introduction of nonlinear inequalities†. In other words the mapping of operations to types of functional units must be a one to one (or many to one) mapping.
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Oasic Synthesis Resultslsw, 1988), a digital neural network (perceptron with back propagation learning (Lippmann, 1987)) (section10.2), and other examples to demonstrate interface constraints (section10.4). The abbreviations for these examples are given in table 10.1 and more examples can be found in (Gebotys, 1991x).
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Summary and Future ResearchSeparate summaries of the OASIC and CATREE methodologies, and concluding remarks (extensions of this research and future CAD tools) are presented in this final chapter of the text.
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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/o/image/702951.jpg
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https://doi.org/10.1007/978-1-4615-4018-2VLSI; algorithms; analog; architecture; complexity; computer; design process; filter; integrated circuit; mod
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Book 1992to the inability of current architectural synthesizers to provide area-delay competitive (or "optimal") architectures, that will support interfaces to analog, asynchronous, and other complex processes. They also fail to incorporate testability. The OASIC (optimal architectural synthesis with interfa
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