By John M. Cohn, David J. Garrod, Visit Amazon's Rob A. Rutenbar Page, search results, Learn about Author Central, Rob A. Rutenbar, , L. Richard Carley
This booklet provides an in depth precis of study on automated format of device-level analog circuits that used to be undertaken within the overdue Nineteen Eighties and early Nineteen Nineties at Carnegie Mellon college. We concentrate on the paintings in the back of the production of the instruments known as KOAN and ANAGRAM II, which shape a part of the center of the CMU ACACIA analog CAD approach. KOAN is a tool placer for customized analog cells; ANANGRAM II a close region router for those analog cells. we attempt to provide the motivations at the back of the structure of those instruments, together with distinctive dialogue of the delicate expertise and circuit matters that has to be addressed in any winning analog or mixed-signal structure software. Our technique in organizing the chapters of the publication has been to give our algo rithms as a chain of responses to those very genuine and intensely tricky analog structure difficulties. ultimately, we current a number of examples of effects generated by means of our algorithms. This learn was once supported partially through the Semiconductor study Corpora tion, via the nationwide technology starting place, by way of Harris Semiconductor, and by way of the overseas enterprise Machines company Resident research application. eventually, only for the checklist: John Cohn was once the dressmaker of the KOAN placer; David Garrod used to be the dressmaker of the ANAGRAM II router (and its predeces sor, ANAGRAM I). This publication was once architected through all 4 authors, edited via John Cohn and Rob Rutenbar, and produced in accomplished shape by means of John Cohn.
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Additional info for Analog Device-Level Layout Automation
While these systems are indeed fast, their automatically generated layouts are quite sparse [22, 52, 97]. Quadratic optimization techniques cast the placement problem as a quadratic minimization problem. These methods initially model the placeable objects as entities of zero size which can be placed anywhere on a continuous 2-dimensional plane. Iterative snap-to-grid techniques must then used to map this infeasible placement into feasible, non-overlapping placements. The larger the size of the objects, the more the mapping to legal placement destroys the optimality.
These are based on topologieal relations between the objects arranged around a set of slices whieh reeursively biseet the layout. The direetion and nesting of these slices is reeorded in a slicing tree. An annealer manipulating a slicing placement does not move objeets directly, rather it alters their relative positions by modifying aspects of the slicing tree itself, sueh as slice direetion. By definition, slicing layouts do not allow objects to overlap. This ean improve the efficieney of the plaeement optimization.
I are experimentally chosen weighting factors and Ci are the associated cost terms. We now discuss the formulation of each of these cost components. Overlap Cost: Coverlap The first term of the cost-function, Coverlap, is used to insure that devices are placed in a design-rule correct manner. 5) i=l j=i+l where D is the number of devices in the design and AreaIllegalOverlapii measures the amount of illegal overlap between the protection frames of the two devices, devicei and device;. , n-diffusion and p-diffusion.
Analog Device-Level Layout Automation by John M. Cohn, David J. Garrod, Visit Amazon's Rob A. Rutenbar Page, search results, Learn about Author Central, Rob A. Rutenbar, , L. Richard Carley