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  • 1.
    Holenderski, Mike J.
    et al.
    Eindhoven University of Technology, Netherlands .
    Bril, Reinder J.
    Eindhoven University of Technology, Netherlands .
    Lukkien, Johan
    Eindhoven University of Technology, Netherlands .
    Reducing memory requirements in a multimedia streaming application2011Inngår i: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 57, nr 1, s. 145-152Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This paper investigates memory management for real-time multimedia applications running on resource-constrained electronic devices. The target applications are comprised of a data-driven task chain with a time-driven head and tail and a bounded end-to-end latency. The necessary buffer capacities along the task chain are derived. Subsequently it is shown how a shared memory pool can reduce the total memory requirements of the whole application. The impact of a shared memory pool is also evaluated in the context of scalable applications. The general technique targeted at memory-constrained streaming systems is demonstrated with a video encoding example, showing memory savings of about 19%.

  • 2.
    van den Heuvel, Martijn
    et al.
    Eindhoven University of Technology, Netherlands .
    Bril, Reinder J.
    Eindhoven University of Technology, Netherlands .
    Schiemenz, Stephan
    Mälardalens högskola, Akademin för innovation, design och teknik. Brandenburg University of Technology, Germany .
    Hentschel, Christian
    Brandenburg University of Technology, Germany .
    Dynamic resource allocation for real-time priority processing applications2010Inngår i: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 56, nr 2, s. 879-887Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Flexible signal processing on programmable platforms are increasingly important for consumer electronic applications and others. Scalable video algorithms (SVAs) using novel priority processing can guarantee real-time performance on programmable platforms even with limited resources. Dynamic resource allocation is required to maximize the overall output quality of independent, competing priority processing algorithms that are executed on a shared platform. In this paper, we describe basic mechanisms for dynamic resource allocation and compare the performance of different implementations on a general purpose platform.

  • 3.
    van den Heuvel, Martijn
    et al.
    Eindhoven University of Technology, Netherlands .
    Bril, Reinder J.
    Eindhoven University of Technology, Netherlands .
    Schiemenz, Stephan
    Brandenburg University of Technology, Germany .
    Hentschel, Christian
    Brandenburg University of Technology, Germany .
    Tempelaars, Coen
    Mälardalens högskola, Akademin för innovation, design och teknik. Eindhoven University of Technology, Netherlands .
    Real-Time Priority Processing on an Embedded CE Device2011Inngår i: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 57, nr 4, s. 1969-1977Artikkel i tidsskrift (Fagfellevurdert)
  • 4.
    van den Heuvel, Martijn
    et al.
    Eindhoven University of Technology, Netherlands .
    Holenderski, Mike J.
    Eindhoven University of Technology, Netherlands .
    Bril, Reinder J.
    Eindhoven University of Technology, Netherlands .
    Lukkien, Johan
    Eindhoven University of Technology, Netherlands .
    Constant bandwidth supply for priority processing2011Inngår i: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 57, nr 2, s. 873-881Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Today's consumer electronic devices feature multiple applications which have to share scarcely available resources. We consider a priority-processing- based video application, which comprises multiple scalable video algorithms (SVAs) that are executed on a shared, virtual platform. This application is given a guaranteed processor share by means of a constant-bandwidth server (CBS). A decision scheduler distributes the assigned processor share among the SVAs on a time-slot basis, with the aim to maximize their overall output quality. To correctly distribute this processor share based on fixed-sized time slots, we introduce the concept of a virtual timer. This timer only advances when its associated virtual platform is executing. Because priority processing can guarantee real-time performance even under fluctuating load, we apply a resource reclaiming mechanism to our CBS which makes it possible to efficiently exploit spare processor time.

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