FPGA-based LoongArch Five-stage Pipeline CPU

Author:

Chen Lin,Ma Xiao,Ji Xiang

Abstract

Abstract We designed and implemented a five-stage pipeline CPU based on the FPGA platform, programmed in Verilog hardware description language to implement LoongArch architecture. The design and implementation of the Instruction Fetch (IF) stage, Instruction Decode (ID) stage, Instruction Execute (EX) stage, Memory Access (MEM) stage, and Write Back (WB) stage. The design and implementation of the important modules in the pipeline are given. The use of the Bubble method and Bypass technique solves most of the parameter passing problems and branch judgment problems in the pipeline. The access memory problem is solved using design tricks. Finally, the design is verified on an FPGA platform. The CPU design can be well used in learning and research related to pipeline CPUs. It can also support experimental platforms and provide an example for further research in pipelines and SOCs.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference9 articles.

1. Five Stage Pipeline CPU Based on FPGA;Wang;Computer Systems & Applications.,2015

2. Design and Realization of Single Mips CPUs Based on FPGA;Wang;Computer Knowledge and Technology.,2019

3. Design of Multi-cycle CPU Based on MIPS Architecture;Liu;Computer Engineering & Software.,2018

4. Design and Implementation of Pipeline CPU Based on MIPS Instruction Set;Liu;Research and Exploration in Laboratory.,2017

5. Design of multi-period CPU experiment based on finite state machine;Feng;Experimental Technology and Management.,2017

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

1. Design and Implementation of CSR Based on LoongArch and Interruption Exception Support;Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence;2023-11-24

2. Design and Implementation of Memory Management Unit for LoongArch Architecture;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20

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