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Equalizer: a scalable parallel rendering framework.
IEEE Trans Vis Comput Graph. 2009 May-Jun; 15(3):436-52.IT

Abstract

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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Authors+Show Affiliations

Eilemann S
University of Zurich, Zurich, Switzerland. eilemann@gmail.com
Makhinya M
No affiliation info available
Pajarola R
No affiliation info available

MeSH

AlgorithmsComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedSoftwareUser-Computer Interface

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19282550

Citation

Eilemann, Stefan, et al. "Equalizer: a Scalable Parallel Rendering Framework." IEEE Transactions On Visualization and Computer Graphics, vol. 15, no. 3, 2009, pp. 436-52.
Eilemann S, Makhinya M, Pajarola R. Equalizer: a scalable parallel rendering framework. IEEE Trans Vis Comput Graph. 2009;15(3):436-52.
Eilemann, S., Makhinya, M., & Pajarola, R. (2009). Equalizer: a scalable parallel rendering framework. IEEE Transactions On Visualization and Computer Graphics, 15(3), 436-52. https://doi.org/10.1109/TVCG.2008.104
Eilemann S, Makhinya M, Pajarola R. Equalizer: a Scalable Parallel Rendering Framework. IEEE Trans Vis Comput Graph. 2009 May-Jun;15(3):436-52. PubMed PMID: 19282550.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Equalizer: a scalable parallel rendering framework. AU - Eilemann,Stefan, AU - Makhinya,Maxim, AU - Pajarola,Renato, PY - 2009/3/14/entrez PY - 2009/3/14/pubmed PY - 2009/5/29/medline SP - 436 EP - 52 JF - IEEE transactions on visualization and computer graphics JO - IEEE Trans Vis Comput Graph VL - 15 IS - 3 N2 - 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. SN - 1077-2626 UR - https://www.unboundmedicine.com/medline/citation/19282550/Equalizer:_a_scalable_parallel_rendering_framework_ L2 - https://doi.ieeecomputersociety.org/10.1109/TVCG.2008.104 DB - PRIME DP - Unbound Medicine ER -