Journal Article10.1016/J.PARCO.2003.11.001
Differential coding scheme for efficient parallel image composition on a PC cluster system
Kentaro Sano,Yusuke Kobayashi,Tadao Nakamura +2 more
- 01 Feb 2004
- Vol. 30, Iss: 2, pp 285-299
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TL;DR: This paper presents an image coding scheme that reduces the communication time in parallel image composition by effective compression of non-blank pixels and load balancing and shows that the worst frame rate of all viewing parameters can greatly be improved by the proposed coding scheme.
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Abstract: Although the sort-last parallel rendering is a promising approach to accelerate large-scale computer graphics applications handling huge data sets, parallel image composition is a bottleneck of performance improvement. So far, several image coding schemes have been proposed in order to achieve fast image composition by compressing communicated data. These schemes mainly encode blank pixels in rendered images, which are pixels with no projection of objects. However, sufficient compression was not available in the case that rendered images have few blank pixels. This paper presents an image coding scheme that reduces the communication time in parallel image composition by effective compression of non-blank pixels and load balancing. The coding scheme exploits coherence of differential pixel values with a few additional computations that do not spoil the reduction in communication time. Experiments on a PC cluster with eight processing elements connected by a 100 Mbit Ethernet switching hub show that the worst frame rate of all viewing parameters can greatly be improved by the proposed coding scheme.
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Citations
Direct send compositing for parallel sort-last rendering
Stefan Eilemann,Renato Pajarola +1 more
- 20 May 2007
TL;DR: The efficiency as well as flexibility of the direct send sort-last compositing algorithm is demonstrated, and it is compared to existing approaches, both in a theoretical analysis and in an experimental setting.
58
An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations
Antonio Plaza,David Valencia,Javier Plaza +2 more
- 01 Feb 2008
TL;DR: An exhaustive quantitative and comparative analysis of several available and new parallel hyperspectral imaging algorithms by comparing their efficiency on both a fully heterogeneous network of workstations and a massively parallel homogeneous cluster at NASA's Goddard Space Flight Center in Maryland.
Parallel rendering on hybrid multi-GPU clusters
Stefan Eilemann,Ahmet Bilgili,Marwan Abdellah,Juan Hernando,Maxim Makhinya,Renato Pajarola,Felix Schürmann +6 more
- 13 May 2012
TL;DR: A thorough analysis of the asynchronous parallelization of the rendering stages is presented and important optimizations are derived and implemented to achieve highly interactive framerates on such hybrid multi-GPU clusters.
Practical parallel rendering of detailed neuron simulations
Juan Hernando,John Biddiscombe,B. Bohara,Stefan Eilemann,Felix Schürmann +4 more
- 04 May 2013
TL;DR: It is shown that a generic data visualization application can provide competitive performance when optimizing its rendering pipeline, with some loss of capability over an optimized domain-specific application.
20
Hybrid hardware-accelerated image composition for sort-last parallel rendering on graphics clusters with commodity image compositor
Jorji Nonaka,Nobuyuki Kukimoto,Naohisa Sakamoto,H. Hazama,Yasuhiro Watashiba,Xuezhen Liu,Masato Ogata,Masanori Kanazawa,Koji Koyamada +8 more
- 11 Oct 2004
TL;DR: This paper proposes and evaluates the hybrid hardware-assisted image composition method which uses the OpenGL alpha blending capability of the graphics boards for assisting the hardware image composition process and finds that this proposed method becomes an important alternative for providing high performance image composition at a reasonable cost.
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