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Ramprasath S.

Publications and source records attributed to Ramprasath S..

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Row-Based Layout Synthesis for Analog Circuits Using Height-Quantized Primitives

Restrictive design rules and strong layout-dependent effects have tightened the coupling between physical layout decisions and electrical performance in advanced process nodes, such as FinFET, making analog and mixed-signal (AMS) layout automation increasingly difficult. This paper presents a quantized row-height layout synthesis methodology for AMS circuits, a methodology that has previously been shown to reduce the simulation-to-silicon gap. The proposed flow optimizes a row height fabric from circuit requirements and layout constraints while mapping analog building blocks into quantized-height rows. Results on multiple testcases demonstrate that the proposed flow synthesizes layouts with similar postlayout performance relative to less-constrained custom baseline designs, with comparable performance metrics. Our quantized-height designs are shown to reduce the schematic-to-postlayout performance gap by up to 68.5% and result in lower area for most of our testcases, with a maximum area reduction of 24.1%.

cs.AR

COmPOSER: Circuit Optimization of mm-wave/RF circuits with Performance-Oriented Synthesis for Efficient Realizations

This work presents COmPOSER, an open-source, end-to-end framework for RF/mm-wave design automation that translates target specifications into optimized circuits with layouts. It unifies schematic synthesis, layout generation for actives and passives, and placement/routing, incorporating physics-based equations and machine-learning-driven electromagnetic models. Based on post-layout validation on multiple LNAs and PAs operating at up to 60GHz in a commercial 65nm process-kit, COmPOSER meets performance targets, comparable to expert manual designs, while delivering a 100-300x productivity gain. Github repo github[dot]com[slash]UMN-EDA[slash]COmPOSER

cs.AR

DROID: Discrete-Time Simulation for Ring-Oscillator-Based Ising Design

Many combinatorial problems can be mapped to Ising machines, i.e., networks of coupled oscillators that settle to a minimum-energy ground state, from which the problem solution is inferred. This work proposes DROID, a novel event-driven method for simulating the evolution of a CMOS Ising machine to its ground state. The approach is accurate under general delay-phase relations that include the effects of the transistor nonlinearities and is computationally efficient. On a realistic-size all-to-all coupled ring oscillator array, DROID is nearly four orders of magnitude faster than a traditional HSPICE simulation in predicting the evolution of a coupled oscillator system and is demonstrated to attain a similar distribution of solutions as the hardware.

cs.ET