A New FPGA-Based Task Scheduler for Real-Time Systems

Author:

Kohútka Lukáš1ORCID,Mach Ján2ORCID

Affiliation:

1. Institute of Informatics, Information Systems and Software Engineering, Slovak University of Technology in Bratislava, 812 43 Bratislava, Slovakia

2. Institute of Computer Engineering and Applied Informatics, Slovak University of Technology in Bratislava, 812 43 Bratislava, Slovakia

Abstract

This research demonstrates a novel design of an FPGA-implemented task scheduler for real-time systems that supports both aperiodic and periodic tasks. The periodic tasks are automatically restarted once their period has expired without any need for software intervention. The proposed scheduler utilizes the Earliest-Deadline First (EDF) algorithm and is optimized for multi-core CPUs, capable of executing up to four threads simultaneously. The scheduler also provides support for task suspension, resumption, and enabling inter-task synchronization. The design is based on priority queues, which play a crucial role in decision making and time management. Thanks to the hardware acceleration of the scheduler and the hardware implementation of priority queues, it operates in only two clock cycles, regardless of the number of tasks in the system. The results of the FPGA synthesis, performed on an Intel FPGA device (Cyclone V family), are presented in the paper. The proposed solution was validated through a simplified version of the Universal Verification Methodology (UVM) with millions of test instructions and random deadline and period values.

Funder

Operational Programme Integrated Infrastructure

KEGA

APVV

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference50 articles.

1. Mall, R. (2008). Real-Time Systems: Theory and Practice, Pearson Education India. [2nd ed.].

2. O’Reilly, C.A., and Cromarty, A.S. (1985). “Fast” Is Not “Real-Time” in Designing Effective Real-Time AI Systems, SPIE. Application of Artificial Intelligence II.

3. Stankovic, J.A., and Ramamritham, K. (1988). Tutorial Hard Real-Time Systems, Computer Society Press.

4. Fussell, D.S., and Malek, M. (1995). Responsive Computer Systems: Steps toward Fault-Tolerant Real-Time Systems, Kluwer Academic Publishers.

5. Caccamo, M., and Buttazzo, G. (1998, January 27–29). Optimal scheduling for fault-tolerant and firm real-time systems. Proceedings of the Fifth International Conference on Real-Time Computing Systems and Applications (Cat. No.98EX236), Hiroshima, Japan.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3