Building and using a scalable display wall system

Li, K.; Chen, H.; Chen, Y.; Clark, Douglas W.; Cook, Perry R.; Damianakis, Stefanos N.; Essl, Georg; Finkelstein, Adam; Funkhouser, Thomas; Housel, Timothy C.; Klein, Allison; Liu, Zhaolun; Praun, Emil; Singh, Jaswinder Pal; Shedd, B.; Pal, J. van der; Tzanetakis, George; Zheng, Jiannan

doi:10.1109/38.851747

Cited by 131 publications

(75 citation statements)

References 16 publications

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“…Large interactive displays have been the focus of technical research for the last ten years, with the earliest work occurring around 2000 [4]. Since that time, the main emphasis has been on research associated with the technical aspects of display walls, including architecture, design application and systems.…”

Section: Literature Reviewmentioning

confidence: 99%

The Experience of Learning in “The Cube”: Queensland University of Technology’s Giant Interactive Multimedia Environment

Abdi¹,

Bruce²,

Stoodley³

2014

Informatics

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Abstract:In this paper we report findings of the first phase of an investigation, which explored the experience of learning amongst high-level managers, project leaders and visitors in Queensland University of Technology's (QUT) "Cube". "The Cube" is a giant, interactive, multi-media display; an award-winning configuration that hosts several interactive projects. The research team worked with three groups of participants to understand the relationship between: (a) the learning experiences that were intended in the establishment phase; (b) the learning experiences that were enacted through the design and implementation of specific projects; and (c) the lived experiences of learning of visitors interacting with the system. We adopted phenomenography as a research approach, to understand variation in people's understandings and lived experiences of learning in this environment. The project was conducted within the first twelve months of The Cube being open to visitors.

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Section: Literature Reviewmentioning

confidence: 99%

The Experience of Learning in “The Cube”: Queensland University of Technology’s Giant Interactive Multimedia Environment

Abdi¹,

Bruce²,

Stoodley³

2014

Informatics

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“…In some papers, authors just describe the architecture of the presented approach for IV systems based on cluster computing detailing a list of features of the presented product [26,29,33,34]. In these contributions any type of performance evaluation is neither considered nor presented.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…Although several software libraries generate immersive environments by utilizing clusters of commodity computers, it is possible to establish a classification of IV systems depending on how this issue is addressed: input data [2,16,34], remote shared memory [26], scene graph change lists [33,34], or graphics primitives [23,29,37].…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…This is accomplished by making calls to a low level graphics application programming interface (API) such as OpenGL. Software libraries such as Chromium [23] and DGL [29] are designed to intercept the graphics primitives for the rendering of each frame and to distribute them over a network in order to divide the rendering task among multiple nodes. This approach tends to require more bandwidth than any of the previously mentioned methods [37].…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…VR Juggler is a well-known open source suite of software tools that provides a multi-platform framework for the development and execution of VR applications [13,25,27]. Following other approaches [2,26,23,29,33,34,37], the kernel architecture of VR Juggler was modified in order to add clustering support [4] to the features of the development environment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analyzing the performance of a cluster-based architecture for immersive visualization systems

Morillo

Bierbaum²,

Hartling³

et al. 2008

Journal of Parallel and Distributed Computing

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Cluster computing has become an essential issue for designing immersive visualization systems. This paradigm employs scalable clusters of commodity computers with much lower costs than would be possible with the high-end, shared memory computers that have been traditionally used for virtual reality purposes. This change in the design of virtual reality systems has caused some development environments oriented towards shared memory computing to require modifications to their internal architectures in order to support cluster computing. This is the case of VR Juggler, which is considered one of the most important virtual reality application development frameworks based on open source code. This paper not only describes in detail the mechanisms based on cluster computing included in the internal design of VR Juggler, but also proposes a new global performance evaluation methodology. The goal of this methodology is to test the Preprint submitted to Elsevier Science 10 October 2007graphical performance of immersive visualization systems based on clusters of computers in terms of both network latency and number of nodes in the cluster. In this sense, a performance evaluation of VR Juggler, both in an overall and a modular approach, is presented. The obtained results show that VR Juggler can be considered as an efficient tool to support immersive visualization systems on a cluster of computers.

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Implementing Immersive Clustering with VR Juggler

Bierbaum

Hartling

Morillo

et al. 2005

Computational Science and Its Applications – ICCSA 2005

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The last advances in commodity hardware have allowed users of immersive visualization to create high-performance systems using a set of interconnected computers. These systems, called cluster computers, allow to employ high-quality graphics cards, high-speed processors and significant amounts of memory for much lower costs than would be possible with high-end, shared memory computers traditionally used for virtual reality purposes. In this paper we present ClusterJuggler, a system based on the VR Juggler architecture that enables the use of distributed and clustered computers for the display of immersive virtual environments. We provide and overview of the potential ways to synchronize a cluster for immersive visualization. Then, we describe the ClusterJuggler architecture in detail, and we show how ClusterJuggler allows virtual reality application developers to combine various existing clustering techniques to meet the needs of their specific applications. A performance evaluation of our clustered technique on real 3D real-time immersive applications demonstrates the efficiency of ClusterJuggler with respect to both number of nodes in the cluster and the bandwidth of the interconnection network system.

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Building and using a scalable display wall system

Cited by 131 publications

References 16 publications

The Experience of Learning in “The Cube”: Queensland University of Technology’s Giant Interactive Multimedia Environment

The Experience of Learning in “The Cube”: Queensland University of Technology’s Giant Interactive Multimedia Environment

Analyzing the performance of a cluster-based architecture for immersive visualization systems

Implementing Immersive Clustering with VR Juggler

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