Low power realization of finite state machines—a decomposition approach
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
SYCLOP: Synthesis of CMOS Logic for Low Power Applications
ICCD '92 Proceedings of the 1991 IEEE International Conference on Computer Design on VLSI in Computer & Processors
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Mixed Synchronous/Asynchronous State Memory for Low Power FSM Design
DSD '04 Proceedings of the Digital System Design, EUROMICRO Systems
Implicit FSM decomposition applied to low-power design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Low-power state assignment targeting two- and multilevel logic implementations
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Partitioned finite state machine (FSM) architectures in general enable low-power implementations and it has been shown that for these architectures, state memory based on both synchronous and asynchronous storage elements gives lower power consumption compared to their fully synchronous counterparts. In this paper we present state encoding techniques for a partitioned FSM architecture based on mixed synchronous/asynchronous state memory. The state memory, in this case, is composed of a synchronous local state memory and an asynchronous global state memory. The local state memory uses synchronous storage elements and is shared by all sub-FSMs. The global state memory operates asynchronously and is responsible for handling the interaction between sub-FSMs. Even though the partitioned FSM contains the asynchronous mechanism, its input/output behaviour is still cycle by cycle equivalent to the original monolithic synchronous FSM. In this paper, we discuss the low-power state encoding method for the implementation of partitioned FSM with mixed synchronous/asynchronous state memory. For the local state assignment a, what we call, state-bundling procedure is presented to enable states residing in different sub-FSMs to share the same state codes. Based on state-bundles, two state encoding techniques, in which one is the employment of binary encoding and the other is the further optimization for low power, are compared.