设计一个QEMU插件来配置多核长向量RISC-V架构:RAVE

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Pablo Vizcaino , Roger Ferrer , Jesus Labarta , Filippo Mantovani
{"title":"设计一个QEMU插件来配置多核长向量RISC-V架构:RAVE","authors":"Pablo Vizcaino ,&nbsp;Roger Ferrer ,&nbsp;Jesus Labarta ,&nbsp;Filippo Mantovani","doi":"10.1016/j.future.2025.108100","DOIUrl":null,"url":null,"abstract":"<div><div>Simulators are crucial during the development of a chip, like the RISC-V accelerator designed in the European Processor Initiative project. In this paper, we showcase the limitations of the current emulation solutions in the project and propose using QEMU with RAVE, a plugin we implement and describe in this document. This methodology can rapidly emulate and analyze applications running on the v1.0 and v0.7.1 RISC-V V-extension. Our plugin reports the vector and scalar instructions alongside useful information such as the vector-length being used, the single-element-width, and the register usage, among other vectorization metrics. We provide an API used from the emulated Application to control the RAVE plugin and the capability to generate vectorization traces that can be analyzed using Paraver. Additionally, we demonstrate the efficiency of our solution against other emulators such as Whipser, ETISS, Spike, or FPGA simulation. Finally, we describe the challenges and solutions for synchronizing and emulating multi-threaded and multi-process binaries, and evaluate the performance of RAVE running on multiple processors.</div></div>","PeriodicalId":55132,"journal":{"name":"Future Generation Computer Systems-The International Journal of Escience","volume":"175 ","pages":"Article 108100"},"PeriodicalIF":6.2000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing a QEMU plugin to profile multicore long vector RISC-V architectures: RAVE\",\"authors\":\"Pablo Vizcaino ,&nbsp;Roger Ferrer ,&nbsp;Jesus Labarta ,&nbsp;Filippo Mantovani\",\"doi\":\"10.1016/j.future.2025.108100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Simulators are crucial during the development of a chip, like the RISC-V accelerator designed in the European Processor Initiative project. In this paper, we showcase the limitations of the current emulation solutions in the project and propose using QEMU with RAVE, a plugin we implement and describe in this document. This methodology can rapidly emulate and analyze applications running on the v1.0 and v0.7.1 RISC-V V-extension. Our plugin reports the vector and scalar instructions alongside useful information such as the vector-length being used, the single-element-width, and the register usage, among other vectorization metrics. We provide an API used from the emulated Application to control the RAVE plugin and the capability to generate vectorization traces that can be analyzed using Paraver. Additionally, we demonstrate the efficiency of our solution against other emulators such as Whipser, ETISS, Spike, or FPGA simulation. Finally, we describe the challenges and solutions for synchronizing and emulating multi-threaded and multi-process binaries, and evaluate the performance of RAVE running on multiple processors.</div></div>\",\"PeriodicalId\":55132,\"journal\":{\"name\":\"Future Generation Computer Systems-The International Journal of Escience\",\"volume\":\"175 \",\"pages\":\"Article 108100\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Computer Systems-The International Journal of Escience\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167739X25003942\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Computer Systems-The International Journal of Escience","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167739X25003942","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

摘要

模拟器在芯片开发过程中至关重要,比如欧洲处理器倡议项目中设计的RISC-V加速器。在本文中,我们展示了项目中当前仿真解决方案的局限性,并建议将QEMU与RAVE一起使用,RAVE是我们在本文档中实现和描述的插件。这种方法可以快速模拟和分析运行在v1.0和v0.7.1 RISC-V扩展上的应用程序。我们的插件报告矢量和标量指令以及有用的信息,如使用的矢量长度、单元素宽度和寄存器使用情况,以及其他向量化指标。我们提供了一个来自模拟应用程序的API,用于控制RAVE插件和生成矢量化跟踪的功能,这些跟踪可以使用Paraver进行分析。此外,我们还演示了我们的解决方案对其他仿真器(如Whipser、eiss、Spike或FPGA仿真)的效率。最后,我们描述了同步和模拟多线程和多进程二进制文件的挑战和解决方案,并评估了RAVE在多处理器上运行的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a QEMU plugin to profile multicore long vector RISC-V architectures: RAVE
Simulators are crucial during the development of a chip, like the RISC-V accelerator designed in the European Processor Initiative project. In this paper, we showcase the limitations of the current emulation solutions in the project and propose using QEMU with RAVE, a plugin we implement and describe in this document. This methodology can rapidly emulate and analyze applications running on the v1.0 and v0.7.1 RISC-V V-extension. Our plugin reports the vector and scalar instructions alongside useful information such as the vector-length being used, the single-element-width, and the register usage, among other vectorization metrics. We provide an API used from the emulated Application to control the RAVE plugin and the capability to generate vectorization traces that can be analyzed using Paraver. Additionally, we demonstrate the efficiency of our solution against other emulators such as Whipser, ETISS, Spike, or FPGA simulation. Finally, we describe the challenges and solutions for synchronizing and emulating multi-threaded and multi-process binaries, and evaluate the performance of RAVE running on multiple processors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信