A Mixed Level Simulation Environment for Stepwise RTOS Software Refinement

Abstract : In this article, we present a flexible simulation environment for embedded real-time software refinement by a mixed level cosimulation. For this, we combine the native speed of an abstract real-time operating system (RTOS) model in SystemC with dynamic binary translation for fast Instruction Set Simulation (ISS) by QEMU. In order to support stepwise RTOS software refinement from system level to the target software, each task can be separately migrated between the native execution and the ISS. By adapting the dynamic binary translation approach to an efficient but yet very accurate synchronization scheme the overhead of QEMU user mode execution is only factor two compared to native SystemC. Furthermore, the simulation speed increases almost linearly according to the utilization of the task set abstracted by the native execution. Hereby, the simulation time can be considerably reduced by cosimulating just a subset of tasks on QEMU.
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Mike Hinchey; Bernd Kleinjohann; Lisa Kleinjohann; Peter A. Lindsay; Franz J. Rammig; Jon Timmis; Marilyn Wolf. 7th IFIP TC 10 Working Conference on Distributed, Parallel and Biologically Inspired Systems (DIPES) / 3rd IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing (BICC) / Held as Part of World Computer Congress (WCC) , Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-329, pp.145-156, 2010, Distributed, Parallel and Biologically Inspired Systems. 〈10.1007/978-3-642-15234-4_15〉
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Markus Becker, Henning Zabel, Wolfgang Mueller. A Mixed Level Simulation Environment for Stepwise RTOS Software Refinement. Mike Hinchey; Bernd Kleinjohann; Lisa Kleinjohann; Peter A. Lindsay; Franz J. Rammig; Jon Timmis; Marilyn Wolf. 7th IFIP TC 10 Working Conference on Distributed, Parallel and Biologically Inspired Systems (DIPES) / 3rd IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing (BICC) / Held as Part of World Computer Congress (WCC) , Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-329, pp.145-156, 2010, Distributed, Parallel and Biologically Inspired Systems. 〈10.1007/978-3-642-15234-4_15〉. 〈hal-01054479〉

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