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 publication provides an in depth precis of study on automated structure of device-level analog circuits that was once undertaken within the overdue Nineteen Eighties and early Nineteen Nineties at Carnegie Mellon college. We concentrate on the paintings at 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 procedure. KOAN is a tool placer for customized analog cells; ANANGRAM II a close zone router for those analog cells. we try to offer the motivations in the back of the structure of those instruments, together with specified dialogue of the delicate expertise and circuit matters that needs to be addressed in any winning analog or mixed-signal structure device. Our strategy in organizing the chapters of the ebook has been to provide our algo rithms as a chain of responses to those very actual and extremely tricky analog format difficulties. ultimately, we current quite a few examples of effects generated via our algorithms. This study used to be supported partly through the Semiconductor study Corpora tion, via the nationwide technology starting place, by way of Harris Semiconductor, and through the overseas enterprise Machines company Resident learn software. ultimately, only for the checklist: John Cohn used to be the dressmaker of the KOAN placer; David Garrod used to be the clothier of the ANAGRAM II router (and its predeces sor, ANAGRAM I). This e-book used to be architected by means of all 4 authors, edited by way of John Cohn and Rob Rutenbar, and produced in comprehensive shape by means of John Cohn.
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Extra info for Analog Device-Level Layout Automation (The Kluwer International Series in Engineering and Computer Science)
While hierarchical decomposition allows large problems to be handled efficiently, it does so by making partitioning decisions based on incomplete global information. This compromises the ability to make good tradeoffs between global factors such as net length and area, which are essential to high quality analog layout. Iterative placement techniques use a series of small perturbations to transform one complete placement into another improved placement. The result of each perturbation is evaluated by a cost-function and either accepted or rejected based on some acceptance criterion.
After each move, a cost-function is evaluated to determine the effect of the move on such quality measures as the estimated net-length. If the change in the cost-function, AC, is less than or equal to zero, the overall quality ofthe placement has improved (or is unchanged) and the new placement is retained. If AC is positive, the overall quality of the placement has decreased. These uphill moves are accepted with probability based on the Metropolis relation, that is Pr[uphill] 2, also entails formulation concerns. The pertinent issues here are how the devices will be generated and at what level of abstraction they will be provided to the placer. Our ultimate goal in designing the device generation portion of KOAN is simplicity. More specifically, we wish to take critical analog constraints such as device symmetry, geometry sharing, and placement proximity which traditionally have been built into a library of predefined module generators and address them dynamically during the placement process.
2, also entails formulation concerns. The pertinent issues here are how the devices will be generated and at what level of abstraction they will be provided to the placer. Our ultimate goal in designing the device generation portion of KOAN is simplicity. More specifically, we wish to take critical analog constraints such as device symmetry, geometry sharing, and placement proximity which traditionally have been built into a library of predefined module generators and address them dynamically during the placement process.