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Advancing Cloud Computing Capabilities on gem5 by Implementing the RISC-V Hypervisor Extension

Authors: Fragkoulis, George-Marios; Karystinos, Nikos; Papadimitriou, George; Gizopoulos, Dimitris;

Advancing Cloud Computing Capabilities on gem5 by Implementing the RISC-V Hypervisor Extension

Abstract

This paper presents the implementation and evaluation of the H (hypervisor) extension for the RISC-V instruction set architecture (ISA) on top of the gem5 microarchitectural simulator. The RISC-V ISA, known for its simplicity and modularity, has seen widespread adoption in various computing domains. The H extension aims to enhance RISC-V's capabilities for cloud computing and virtualization. In this paper, we present the architectural integration of the H extension into gem5, an open-source, modular platform for computer system architecture research. We detail the modifications required in gem5's CPU models and virtualization support to accommodate the H extension. We also present evaluation results regarding the performance impact and functional correctness of the extension's implementation on gem5. This study not only provides a pathway for further research and development of RISC-V extensions but also contributes valuable insights into the optimization of the gem5 simulator for advanced architectural features.

8 pages, 6 figures, CARRV '24, November 3rd, 2024, Co-located with IEEE/ACM MICRO 2024

Keywords

FOS: Computer and information sciences, Hardware Architecture (cs.AR), Computer Science - Hardware Architecture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green