By Rolf Drechsler
The layout technique of electronic circuits is usually conducted in person steps, like good judgment synthesis, mapping, and routing. considering the fact that initially the full approach used to be too advanced, it's been break up up in numerous - kind of independen- levels. within the final forty years strong algorithms were constructed to discover optimum suggestions for every of those steps. besides the fact that, the interplay of those diverse algorithms has now not been thought of for a very long time. This results in caliber loss e. g. in situations the place hugely optimized netlists healthy badly onto the objective structure. because the ensuing circuits are usually faraway from being optimum and inadequate in regards to the optimization standards, like region and hold up, a number of iterations of the whole layout technique need to be conducted to get prime quality effects. it is a very time eating and dear procedure. as a result, a few years in the past the assumption of one-pass synthesis got here up. there have been major techniques tips to ensure that a layout bought "first time correct" : 1. Combining degrees that have been break up ahead of, e. g. to exploit format info already through the common sense synthesis section. 2. limiting the optimization in a single point such that it greater matches to the following one. thus far, a number of techniques in those instructions were offered and new suggestions are lower than improvement. during this e-book we describe the hot paradigm that's utilized in one-pass synthesis and current examples for the 2 strategies above.
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Extra resources for Towards One-Pass Synthesis
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Class . element 000 1 . 8 Example Input file one of its elements by assignment of variables or constants to the inputs of the ULM. 4 The input/output for the generation of a minimal 5-input cell that allows the mapping of 3-input NAND/NOR cells using a library consisting only of 2-input NAND gates is described. B. 9. The NAND function NAND (Xl, X2, X3) can be obtained by setting i l := Xl, i2 := 0, i3 := 0, i4 := X2, is := X3, the NOR function NOR(xl,X2,X3) by i l := 1, i2 := Xl, i3 := X2, i4 := 1, is := X3' In the following an algorithm to automatically generate optimum solutions is presented.
An algorithm that determines one minimal CLC over a given library Lib. First, we give some insight in the underlying data structure. 2. 3. e. the exact algorithm determines the optimal NAND realization of a Boolean function. 2. 1 Data Structure First, the underlying data structure is described: All gates in the net list are stored in an array of size num_gates. The first gates represent the output functions. A reference counter is used for both, the variables and the gates. In the beginning, all gate inputs are undefined and all fan-outs are zero.
Input=l: In case of an input 1, the gate realizes an inverter. e. NAND(l,x) = NAND(x, x). Similar simplifications hold for other gate types. As NAND is a symmetric function, we can assume that the first input of a NAND gate is less or equal than the second one, whereas variables are ordered before gate numbers. 4. 6 Sketch of do_backtrackingO Let us now consider in more detail how for a given net list the subsequent netlist is determined. This is done in two parts: 1. Gate inputs are assigned. Naturally, assigning inputs is only done for netlists which still have unassigned inputs.