Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/6832
Título: Mode-Controlled Data-Flow Modeling of Real-Time Memory Controllers
Autor: Li, Yonghui
Salunkhe, Hrishikesh
Bastos, João
Moreira, Orlando
Åkesson, Benny
Goossens, Kees
Data: 2015
Relatório da Série N.º: ESTIMedia;2015
Resumo: SDRAM is a shared resource in modern multi-core platforms executing multiple real-time (RT) streaming applications. It is crucial to analyze the minimum guaranteed SDRAM bandwidth to ensure that the requirements of the RT streaming applications are always satisfied. However, deriving the worst-case bandwidth (WCBW) is challenging because of the diverse memory traffic with variable transaction sizes. In fact, existing RT memory controllers either do not efficiently support variable transaction sizes or do not provide an analysis to tightly bound WCBW in their presence. We propose a new mode-controlled data-flow (MCDF) model to capture the command scheduling dependencies of memory transactions with variable sizes. The WCBW can be obtained by employing an existing tool to automatically analyze our MCDF model rather than using existing static analysis techniques, which in contrast to our model are hard to extend to cover different RT memory controllers. Moreover, the MCDF analysis can exploit static information about known transaction sequences provided by the applications or by the memory arbiter. Experimental results show that 77% improvement of WCBW can be achieved compared to the case without known transaction sequences. In addition, the results demonstrate that the proposed MCDF model outperforms state-of-the-art analysis approaches and improves the WCBW by 22% without known transaction sequences.
Descrição: Accepted in 13th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia 2015), Amsterdam, Netherlands.
URI: http://hdl.handle.net/10400.22/6832
Aparece nas colecções:ISEP – CISTER – Comunicações em eventos científicos

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