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Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V
Liu, Yu1,2; Ye, Kejiang1; Xu, Cheng Zhong3
2022
Conference Name14th International Conference on Cloud Computing, CLOUD 2021 held as Part of the Services Conference Federation
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12989 LNCS
Pages61-74
Conference DateDEC 10-14, 2021
Conference PlaceVirtual, Online
Abstract

RISC-V is a new instruction set architecture (ISA) that has emerged in recent years. Compared with previous computer instruction architectures, RISC-V has outstanding features such as simple instructions, modular instruction set and supporting agile development. Due to these advantages, a large number of chips have been designed based on RISC-V ISA. However, compared with other ISAs, the efficiency or performance of RISC-V architecture is still not clear. In this paper, we investigate the performance difference of three mainstream RISC processor systems (i.e., ARM, MIPS and RISC-V). We use two open source benchmark tools-UnixBench and LMbench, to widely evaluate the processor performance, such as computing efficiency, read and write file delay, local communication bandwidth, etc. A total of 19 detailed performance tests on these three ISA systems are carried out. The testing results show: i) MIPS achieves the highest scores and shortest context switching delay whether it has a large number of file copying or pipeline communication; ii) RISC-V has high local communication bandwidth and strong scientific computing capabilities, but has highest communication and file access delays; iii) ARM’s local communication bandwidth is low, and the delay in all aspects is slightly higher than that of MIPS.

KeywordArm Isa Mips Risc-v
DOI10.1007/978-3-030-96326-2_5
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000773948800005
Scopus ID2-s2.0-85126090753
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Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
Corresponding AuthorYe, Kejiang
Affiliation1.Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.State Key Lab of IoTSC, Faculty of Science and Technology, University of Macau, Macao
Recommended Citation
GB/T 7714
Liu, Yu,Ye, Kejiang,Xu, Cheng Zhong. Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V[C], 2022, 61-74.
APA Liu, Yu., Ye, Kejiang., & Xu, Cheng Zhong (2022). Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12989 LNCS, 61-74.
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