Scalable 3D graphics processing in consumer terminals

Raemdonck, Wolfgang Van; Lafruit, Gauthier; Steffens, E.F.M.; Perez, C.M. Otero; Bril, Reinder J.

doi:10.1109/icme.2002.1035795

Cited by 16 publications

(7 citation statements)

References 20 publications

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“…Wust et al [7], Bril et al [4] and Van Raemdonck et al [8] all provide such run-time management setups. Pastrnak et al [9,10] distinguish a design-time phase to estimate application resource needs and quality settings and, consequently, a run-time quality selection phase.…”

Section: Operating Point Selection Managermentioning

confidence: 99%

A Safari Through the MPSoC Run-Time Management Jungle

Nollet

Verkest

Corporaal

2008

J Sign Process Syst

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The multiprocessor SoC (MPSoC) revolution is fueled by the need to execute multiple advanced multimedia applications on a single embedded computing platform. At design-time, the applications that will run in parallel and their respective user requirements are unknown. Hence, a run-time manager (RTM) is needed to match all application needs with the available platform resources and services. Creating such a runtime manager requires two decisions. First, one needs to decide what functionality to implement. Second, one has to decide how to implement this functionality in order to meet boundary conditions like e.g. real-time performance. This paper is the first to detail a generic view on MPSoC run-time management functionality and its design space trade-offs. We substantiate the run-time components and the implementation tradeoffs with academic state-of-the-art solutions and a brief overview of some industrial multiprocessor run-time management examples. We show a clear trend towards more hardware acceleration, a limited distribution of management functionality over the platform and increasing support for adaptive multimedia applications.In addition, we briefly detail upcoming run-time management research issues.

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Section: Operating Point Selection Managermentioning

confidence: 99%

A Safari Through the MPSoC Run-Time Management Jungle

Nollet

Verkest

Corporaal

2008

J Sign Process Syst

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“…A quality of service manager service was proposed in (Van et al, 2002) on top of the operating system. They also proposed a quality controller module for each domain specific application and a general quality manager to oversee the overall resources of the computing platform.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization model for web based multimodal interactive simulations

Halic

Ahn

2015

Expert Systems with Applications

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This paper presents a technique for optimizing the performance of web based multimodal interactive simulations. For such applications where visual quality and the performance of simulations directly influence user experience, overloading of hardware resources may result in unsatisfactory reduction in the quality of the simulation and user satisfaction. However, optimization of simulation performance on individual hardware platforms is not practical. Hence, we present a mixed integer programming model to optimize the performance of graphical rendering and simulation performance while satisfying application specific constraints. Our approach includes three distinct phases: identification, optimization and update. In the identification phase, the computing and rendering capabilities of the client device are evaluated using an exploratory proxy code. This data is utilized in conjunction with user specified design requirements in the optimization phase to ensure best possible computational resource allocation. The optimum solution is used for rendering (e.g. texture size, canvas resolution) and simulation parameters (e.g. simulation domain) in the update phase. Test results are presented on multiple hardware platforms with diverse computing and graphics capabilities to demonstrate the effectiveness of our approach.

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“…Mesarina and others discuss in [8] how to reduce the energy for the "decoding MPEG" application using parameter modifications. In [12,13,14] two approaches are proposed for the deterioration of the quality of an object 3D to satisfy the constraints of resources and network bandwidth.…”

Section: Adaptation At the Application Levelmentioning

confidence: 99%

“…The change of the system architecture is made according to the needs of the application and the environmental constraints. Such method was applied for the partitioning of the system using two techniques: the former uses a heuristic algorithm [13] and the latter uses a genetic algorithm [15].…”

Section: State Of the Artmentioning

confidence: 99%

Self adaptive reconfigurable system based on middleware cross layer adaptation model

Loukil

Amor

Abid

2009

2009 6th International Multi-Conference on Systems, Signals and Devices

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The emergence of mobile multimedia systems and the diversity of the supported multimedia applications put new challenges for their design. These systems must provide a maximum application quality of service (QoS) in the presence of a dynamically varying environment (e.g. video streaming and multimedia conferencing) and multiple resources constraints (e.g. remaining energy). To respond to the changing resource availability and application demands, a new class of adaptation method is emerged. It combines the adaptation simultaneously upon the different layers related to the target system. This paper presents a framework dedicated for mobile multimedia systems. It supports application QoS under real time and lifetime constraints via coordinated adaptation in the hardware, OS, and application layer. In this framework, we present a new middleware approach based on a global and a local manager. The global manager (GM) is used to handle large and long-term variations whereas the local manager (LM) is used to guarantee the real time constraint. The GM intervenes in three layers but the LM intervenes only in the application layer and OS layer. We have implemented this approach on reconfigurable platform using Altera technology.

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Scalable 3D graphics processing in consumer terminals

Cited by 16 publications

References 20 publications

A Safari Through the MPSoC Run-Time Management Jungle

A Safari Through the MPSoC Run-Time Management Jungle

Optimization model for web based multimodal interactive simulations

Self adaptive reconfigurable system based on middleware cross layer adaptation model

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