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Hauptverfasser: Jalilvand, Amir Hossein, Najafi, M. Hassan
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2506.22107
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author Jalilvand, Amir Hossein
Najafi, M. Hassan
author_facet Jalilvand, Amir Hossein
Najafi, M. Hassan
contents Sorting is a fundamental operation in computer systems and is widely used in applications such as databases, data analytics, and hardware accelerators. Unary computing has recently emerged as a low-cost and power-efficient paradigm for implementing hardware sorters by eliminating the need for complex arithmetic operations. However, existing comparison-free unary computing-based designs suffer from significant area and power overhead due to costly unary number generators. In this paper, we present a novel ascending-order unary sorting module featuring a finite-state-machine-based unary number generator that significantly reduces implementation costs. By generating right-aligned unary streams using a two-state finite-state machine, our architecture iteratively identifies the minimum input value in each cycle without conventional comparators. Synthesis results in a 45nm technology node demonstrate up to 82% reduction in area and 70% reduction in power consumption compared to state-of-the-art unary designs. The proposed sorter offers a promising solution for energy-constrained and resource-limited hardware systems.
format Preprint
id arxiv_https___arxiv_org_abs_2506_22107
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Power- and Area-Efficient Unary Sorting Architecture Using FSM-Based Unary Number Generator
Jalilvand, Amir Hossein
Najafi, M. Hassan
Hardware Architecture
Sorting is a fundamental operation in computer systems and is widely used in applications such as databases, data analytics, and hardware accelerators. Unary computing has recently emerged as a low-cost and power-efficient paradigm for implementing hardware sorters by eliminating the need for complex arithmetic operations. However, existing comparison-free unary computing-based designs suffer from significant area and power overhead due to costly unary number generators. In this paper, we present a novel ascending-order unary sorting module featuring a finite-state-machine-based unary number generator that significantly reduces implementation costs. By generating right-aligned unary streams using a two-state finite-state machine, our architecture iteratively identifies the minimum input value in each cycle without conventional comparators. Synthesis results in a 45nm technology node demonstrate up to 82% reduction in area and 70% reduction in power consumption compared to state-of-the-art unary designs. The proposed sorter offers a promising solution for energy-constrained and resource-limited hardware systems.
title Power- and Area-Efficient Unary Sorting Architecture Using FSM-Based Unary Number Generator
topic Hardware Architecture
url https://arxiv.org/abs/2506.22107