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NUMA-aware image compositing on multi-GPU platform

Wang, Pan, Cheng, Zhiquan, Martin, Ralph Robert, Liu, Huahai, Cai, Xun and Li, Sikun 2013. NUMA-aware image compositing on multi-GPU platform. The Visual Computer 29 (6-8) , pp. 639-649. 10.1007/s00371-013-0803-7

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Abstract

Sort-last parallel rendering is widely used. Recent GPU developments mean that a PC equipped with multiple GPUs is a viable alternative to a high-cost supercomputer: the Fermi architecture of a single GPU supports uniform virtual addressing, providing a foundation for non-uniform memory access (NUMA) on multi-GPU platforms. Such hardware changes require the user to reconsider the parallel rendering algorithms. In this paper, we thoroughly investigate the NUMA-aware image compositing problem, which is the key final stage in sort-last parallel rendering. Based on a proven radix-k strategy, we find one optimal compositing algorithm, which takes advantage of NUMA architecture on the multi-GPU platform. We quantitatively analyze different image compositing modes for practical image compositing, taking into account peer-to-peer communication costs between GPUs. Our experiments on various datasets show that our image compositing method is very fast, an image of a few megapixels can be composited in about 10 ms by eight GPUs.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: Multi-GPU System; Parallel rendering; Image compositing
Additional Information: PDF uploaded in accordance with publisher's policy http://www.sherpa.ac.uk/romeo/issn/0178-2789/ [accessed 06/05/2015] The final publication is available at Springer via http://dx.doi.org/10.1007/s00371-013-0803-7
Publisher: Springer
ISSN: 0178-2789
Last Modified: 04 Jun 2017 23:22
URI: http://orca.cf.ac.uk/id/eprint/50739

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