Optimizing the Simulation Speed of QEMU and SystemC-Based Virtual Platform

Yeh, Tse-Chen; Lin, Zin-Yuan; Chiang, Ming-Chao

doi:10.1109/iciecs.2010.5678362

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…Solutions enabling HDL cosimulation are rare [5,6]. Most available solutions [7][8][9] use SystemC. However, it is not a widely used language for the description of FPGA-based systems.…”

Section: Methodsmentioning

confidence: 99%

QEMU-based hardware/software co-development for DAQ systems

Zabołotny

2022

J. Inst.

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Modern DAQ systems typically use the FPGA-based PCIe cards to concentrate and deliver the data to a computer used as an entry node of the data processing network. This paper presents a QEMU-based methodology for the co-development of the FPGA-based hardware part, the Linux kernel driver, and the data receiving application. This approach enables quick verification of the FPGA firmware architecture, organization of control registers, the functionality of the driver, and the user-space application. The developed design may be tested in different emulated architectures with a changeable CPU, IOMMU, size of memory, and the number of DAQ cards.

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“…Solutions enabling HDL cosimulation are rare [5,6]. Most available solutions [7][8][9] use SystemC. However, it is not a widely used language for the description of FPGA-based systems.…”

Section: Methodsmentioning

confidence: 99%

QEMU-based hardware/software co-development for DAQ systems

Zabołotny

2022

J. Inst.

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“…Solutions enabling HDL co-simulation are rare [5,6]. Most available solutions [7][8][9] use SystemC. However, it is not a widely used language for the description of FPGA-based systems.…”

Section: Proposed Methodsmentioning

confidence: 99%

QEMU-based hardware/software co-development for DAQ systems

Zabołotny

2021

Preprint

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A: Modern DAQ systems typically use the FPGA-based PCIe cards to concentrate and deliver the data to a computer used as an entry node of the data processing network. This paper presents a QEMU-based methodology for the co-development of the FPGA-based hardware part, the Linux kernel driver, and the data receiving application. That approach enables quick verification of the FPGA firmware architecture, organization of control registers, the functionality of the driver, and the user-space application. The developed design may be tested in different emulated architectures with a changeable CPU, IOMMU, size of memory, and the number of DAQ cards.

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“…Prototyping frameworks can also help to improve the robustness of the cyber-physical system by providing the interdependence of cyber and physical networks to explore various nonlinear optimization models [12]. There have been studies that focused on the optimization of various domains like -virtual reality [13], simulation of virtual platforms [14], [15], network function virtualization [16], [17], digital twin for production [18]- [20] etc. These approaches can eventually result in higher efficiency, highly advanced, and intelligent IoT systems with less complexity, provided the optimization techniques perform well.…”

Section: B Optimizationmentioning

confidence: 99%

Virtual Prototyping for Modern Internet-of-Things Applications: A Survey

Kabir

Ray

2023

IEEE Access

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Modern technological industries fused with the Internet-of-Things (IoT) have been advancing rapidly. The joint usage of several technologies has led to the reshaping of the modeling and simulation techniques into the virtualization of physical systems. Thus, the concept of virtual prototyping has emerged as a significant development in distributed IoT applications that includes early exploration, optimization, and security assessments. Several industries have been employing various types of prototyping e.g., virtual platforms, digital twins, and application-specific virtualization techniques, to achieve individual needs for development. In this survey, we clarify some of these concepts and the distinctions between them, provide a comprehensive overview of various prototyping technologies, and discuss how several virtualization technologies play a transformative role in the design and operation of intelligent cyber-physical systems.

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Optimizing the Simulation Speed of QEMU and SystemC-Based Virtual Platform

Cited by 7 publications

References 7 publications

QEMU-based hardware/software co-development for DAQ systems

QEMU-based hardware/software co-development for DAQ systems

QEMU-based hardware/software co-development for DAQ systems

Virtual Prototyping for Modern Internet-of-Things Applications: A Survey

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