Co-Processor Based FSM Generator

Finite State Machines (FSMs) are critical components in hardware design, particularly in modern System-on-Chips (SoCs), where their complexity and scale continue to increase in resent years, and the complexity leads to the increase of total area occupied by FSMs. In response to these demands, we present an FSM generator, a dedicated co-processor accelerator for handling FSMs within SoCs. This paper proposes an FSM generator, based on the RISC-V architecture, is highly parameterized and reconfigurable, capable of generating an optimized FSM accelerator from a flexible architectural template. Compared to a Cortex-M0-based FSM processor, Simulation results demonstrate that the speed increased by 5×, and core area consumption decreased by 3×.

Authors

Institutions

Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968735
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Co-Processor Based FSM Generator

Zhen Shi, Nianxiong Tan, Chenxu Jiang
Semiconductor Lasers and Optical Devices
article

Co-Processor Based FSM Generator

Zhen Shi, Nianxiong Tan, Chenxu Jiang
article en

Abstract

Finite State Machines (FSMs) are critical components in hardware design, particularly in modern System-on-Chips (SoCs), where their complexity and scale continue to increase in resent years, and the complexity leads to the increase of total area occupied by FSMs. In response to these demands, we present an FSM generator, a dedicated co-processor accelerator for handling FSMs within SoCs. This paper proposes an FSM generator, based on the RISC-V architecture, is highly parameterized and reconfigurable, capable of generating an optimized FSM accelerator from a flexible architectural template. Compared to a Cortex-M0-based FSM processor, Simulation results demonstrate that the speed increased by 5×, and core area consumption decreased by 3×.

Zhejiang University (CN)
Openalex Percentile: Top 93%
Semiconductor Lasers and Optical Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.