Design for performance-optimization of programmable, semicustom SoCs requires the ability to model and optimize the behavior of the system as a whole. Neither the hardware-testben...
JoAnn M. Paul, Christopher M. Eatedali, Donald E. ...
In this paper we summarize recent developments in compact dynamical modeling for both linear and nonlinear systems arising in analog applications. These techniques include methods...
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Abstract-- In analog circuits, blocks need to be placed symmetrically to satisfy the devices matching. Different from the existing constraint-driven approaches, the proposed topolo...
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...