SPICE-PIDE: A Methodology for Design and Optimization of Integrated Circuits

TL;DR

This paper introduces SPICE-PIDE, a methodology combining SPICE simulations and Python IDE to efficiently optimize integrated circuits by exploring large design spaces and reducing computational time.

Contribution

It presents a novel SPICE-PIDE interface that enhances circuit optimization processes, specifically for 5 transistor level converters, balancing multiple performance metrics.

Findings

Effective optimization of circuit parameters using SPICE-PIDE.

Reduced computational overhead compared to manual iterations.

Achieved optimal solutions considering multiple performance metrics.

Abstract

In application-specific designs, owing to the trade-off between power consumption and speed, optimization of various circuit parameters has become a challenging task. Several of the performance metrics, viz. energy efficiency, gain, performance, and noise immunity, are interrelated and difficult to tune. Such efforts may result in a great deal of manual iterations which in turn increase the computational overhead. Thus, it is important to develop a methodology that not only explores large design space but also reduces the computational time. In this work, we investigate the viability of using a SPICE and Python IDE (PIDE) interface to optimize integrated circuits. The SPICE simulations are carried out using 22 nm technology node with a nominal supply voltage of 0.8 V. The SPICE-PIDE optimizer, as delineated in this work, is able to provide the best solution sets considering various performance metrics and design complexities for 5 transistor level converters.