A fast cycle-accurate instruction set simulator based on QEMU and SystemC for SoC development

Yeh, Tse-Chen; Tseng, Guo-Fu; Chiang, Ming-Chao

doi:10.1109/melcon.2010.5475901

Cited by 17 publications

(10 citation statements)

References 2 publications

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“…A functionally accurate simulator, such as Qemu, focuses on what a processor does and not how the processor does it. Moreover, a cycle-accurate simulator has to emulate the ISA according to the actual hardware and software semantics with accurate timing information [18], [45]. Both Qemu and gem5 are open-source emulators permitting further modification and optimization.…”

Section: ) Arm To Intel Atom Emulationmentioning

confidence: 99%

Case of ARM emulation optimization for offloading mechanisms in Mobile Cloud Computing

Shuja

Gani

Anjum

et al. 2017

Future Generation Computer Systems

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Section: ) Arm To Intel Atom Emulationmentioning

confidence: 99%

Case of ARM emulation optimization for offloading mechanisms in Mobile Cloud Computing

Shuja

Gani

Anjum

et al. 2017

Future Generation Computer Systems

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“…In contrast to QEMU-SystemC [7], our lightweight extension of QEMU allows the use of kernel-based virtual machine (KVM) [3], which results in increased execution performance of guest systems.…”

Section: Hardware-software Co-simulationmentioning

confidence: 99%

“…Another existing hardware-software co-simulator is QEMUSystemC [7]. We tried to use QEMU-SystemC but it terminated unexpectedly in several scenarios, required a particular outdated version of the GCC compiler suite to work as expected.…”

Section: Related Workmentioning

confidence: 99%

Hardware-software co-simulation for medical X-ray control units

Kleinert

Rahimi

Reichenbach

et al. 2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

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In this paper we present our solution to master the complexity of product adaption cycles of a medical X-ray control unit. We present the real hardware and software platform and our mapping of it to a virtual X-ray control unit, implemented as our hardware-software co-simulation. To reduce complexity for hardware developers, we developed our own XML-based abstract system description language which is mapped onto instantiations of parameterizable SystemC template modules. We verified the correctness of our virtual X-ray control unit by co-simulating unmodified software to hardware components, which we implemented in our system description language from the specification of the real system. Due to reduced complexity of our virtual X-ray control unit, it can be used as a time and cost saving test platform for future hardware and software adaption cycles.

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“…Yeh and Chiang [24] used QEMU, implemented in System-C, for cycle-accurate timing of ARM processors, expanding on the interface to the QEMU code [23]. Meanwhile Chylek had been collecting program statistics through monitoring QEMU [3].…”

Section: Emulation or Simulationmentioning

confidence: 99%

Virtualized Development and Testing for Embedded Cluster Computing

McLoughlin

Bretschneider²,

Chen

2012

IJNC

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Embedded cluster processing solutions can be difficult to design if quantity and type of processors, interconnectivity technology and code partitioning are not specified in advance, and yet it may not be possible to determine these without qualitative and quantitative testing which can not be performed until hardware is available. Similar issues are faced in conventional development projects for generic embedded systems, or for generic distributed systems, but the issues are exacerbated when both attributes are combined. This paper considers issues relating to custom embedded cluster processing system development in general, before focussing on a specific example of a space-borne cluster computer using ARM processors running embedded Linux. This early example, which will be shown performing distributed synthetic aperture radar image processing, is representative of a growing number of systems in the pervasive and ambient computing fields. It illustrates many difficulties in co-developing hardware and software for specific tasks. We present one potential solution -the use of distributed virtualization to simulate the final design. An ARM cluster simulator is presented, constructed using QEMU and virtual networking, and shown used for the development and validation of distributed embedded processing tasks on a cluster-type architecture. As clusters of embedded processors, pervasive embedded networks, and the "embedded cloud" become more popular in the near future, such virtualized systems can prove useful for development and testing.

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A fast cycle-accurate instruction set simulator based on QEMU and SystemC for SoC development

Cited by 17 publications

References 2 publications

Case of ARM emulation optimization for offloading mechanisms in Mobile Cloud Computing

Case of ARM emulation optimization for offloading mechanisms in Mobile Cloud Computing

Hardware-software co-simulation for medical X-ray control units

Virtualized Development and Testing for Embedded Cluster Computing

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