Equalizer: A Scalable Parallel Rendering Framework

Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering solutions that can exploit multipipe hardware accelerated graphics. In fact, to achieve interactive visualization, scalable...

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Vydáno v:IEEE transactions on visualization and computer graphics Ročník 15; číslo 3; s. 436 - 452
Hlavní autoři: Eilemann, S., Makhinya, M., Pajarola, R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.05.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
API
Application programming interface
Architecture
Cluster Graphics
Clusters
Computer Graphics
Data visualization
Demand
Display Wall
Displays
Equalizers
Graphics boards
Hardware
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Multicore processing
Parallel processing
Parallel Rendering
Pattern Recognition, Automated - methods
Rendering
Rendering (computer graphics)
Reproducibility of Results
Scalable Visualization
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Software
Tree graphs
User-Computer Interface
Visualization
Workstations
Scalable Visualization
Cluster Graphics
Display Wall
Parallel Rendering
ISSN:1077-2626, 1941-0506
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Popis
Shrnutí:Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering solutions that can exploit multipipe hardware accelerated graphics. In fact, to achieve interactive visualization, scalable rendering systems are essential to cope with the rapid growth of data sets. However, parallel rendering systems are non-trivial to develop and often only application specific implementations have been proposed. The task of developing a scalable parallel rendering framework is even more difficult if it should be generic to support various types of data and visualization applications, and at the same time work efficiently on a cluster with distributed graphics cards. In this paper we introduce a novel system called Equalizer, a toolkit for scalable parallel rendering based on OpenGL which provides an application programming interface (API) to develop scalable graphics applications for a wide range of systems ranging from large distributed visualization clusters and multi-processor multipipe graphics systems to single-processor single-pipe desktop machines. We describe the system architecture, the basic API, discuss its advantages over previous approaches, present example configurations and usage scenarios as well as scalability results.
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2008.104