By Geert Van der Plas
In the 1st half the AMGIE analog synthesis approach is defined. AMGIE is the 1st analog synthesis method that automates the entire layout strategy from requirements all the way down to confirmed structure. it truly is specified to the layout of moderate-complexity circuits. It will depend on layout and circuit wisdom saved within the tool's libraries and will be utilized by either beginner and skilled analog designers in addition to system-level designers. the interior workings are defined intimately, with (practical) examples to illustrate how the applied algorithms and methods paintings. Experimental effects bought with the AMGIE method are mentioned, together with genuine fabricated and measured circuits.
The moment process, i.e. the systematic layout of high-performance analog circuits, is mentioned within the moment a part of the ebook. This procedure is supported via instruments to spice up the productiveness of the fashion designer. An instance of this type of device is Mondriaan, that's specific in the direction of the automated format iteration of hugely average analog blocks. The proposed systematic layout method is then utilized to the layout of high-accuracy current-steering electronic to analog converters (DACs). the total layout course is mentioned intimately.
Both complementary methods elevate analog layout productiveness. layout instances of the various layout experiments undertaken are mentioned in the course of the e-book to illustrate this.
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Extra info for A Computer-Aided Design and Synthesis Environment for Analog Integrated Circuits
There are still two subcategories in this approach depending on the way how the circuit performance is evaluated at every iteration of the optimization. The first subcategory uses (simplified) equations to characterize the circuit performance (OASYS [Harj 89], OPTIMAN [Gie 90], STAIC [Harv 92] and GPCAD [Hers 98]). The evaluation of these equations is relatively fast, thereby limiting the on-line CPU time overhead of optimization-based approaches, but the drawback is that the equations themselves still have to be derived and many show a simplification error.
A geometric program is convex by definition, and the local optimum that is found using interior point methods is thus the global optimum. At this end of the spectrum almost no CPU time is required to size analog circuits (less than 60 seconds for a 15 transistor OTA). However, the modeling effort is high. Only equations can be used of the posynomial form as defined above. In [Hers 98] a MOS device model was presented, followed by applications of this optimization algorithm to linear circuits, as for instance OPAMPs with the GPCAD tool [Hers 98], and RF LC-based Voltage Controlled Oscillators (LC-VCOs) [Hers 99].
Their details will be described in chapter 3. 6 (for standard cells some of these steps are of course trivial): 1. starting from the input specifications entered by the user in the specsheet as specified in the previous section; 2. first the most promising topology for the functionblock is chosen from the cell library by the topology selection tool; 3. then this topology is optimally sized for the given requirements and optimization targets by the sizing and optimization tool; 4. the resulting design is then extensively simulated in the verification tool in order to verify that the design meets all performance specifications.
A Computer-Aided Design and Synthesis Environment for Analog Integrated Circuits by Geert Van der Plas