DocumentCode :
3127916
Title :
Massively parallel volume rendering using 2–3 swap image compositing
Author :
Yu, Hongfeng ; Wang, Chaoli ; Ma, Kwan-Liu
Author_Institution :
Dept. of Comput. Sci., Univ. of California at Davis, Davis, CA, USA
fYear :
2008
fDate :
15-21 Nov. 2008
Firstpage :
1
Lastpage :
11
Abstract :
The ever-increasing amounts of simulation data produced by scientists demand high-end parallel visualization capability. However, image compositing, which requires interprocessor communication, is often the bottleneck stage for parallel rendering of large volume data sets. Existing image compositing solutions either incur a large number of messages exchanged among processors (such as the direct send method), or limit the number of processors that can be effectively utilized (such as the binary swap method). We introduce a new image compositing algorithm, called 2-3 swap, which combines the flexibility of the direct send method and the optimality of the binary swap method. The 2-3 swap algorithm allows an arbitrary number of processors to be used for compositing, and fully utilizes all participating processors throughout the course of the compositing. We experiment with this image compositing solution on a supercomputer with thousands of processors, and demonstrate its great flexibility as well as scalability.
Keywords :
data visualisation; image resolution; multiprocessing systems; natural sciences computing; parallel algorithms; rendering (computer graphics); 2-3 swap image compositing algorithm; binary swap method; direct send method; high-resolution parallel visualization capability; interprocessor communication; large-scale scientific volume data set; massively-parallel volume rendering; message exchange; multiprocessor system throughout; processor utilization; scientific simulation data; supercomputer system; Chaotic communication; Computational modeling; Computer science; Computer simulation; Data visualization; Personal communication networks; Rendering (computer graphics); Scalability; Supercomputers; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis, 2008. SC 2008. International Conference for
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2834-2
Electronic_ISBN :
978-1-4244-2835-9
Type :
conf
DOI :
10.1109/SC.2008.5219060
Filename :
5219060
Link To Document :
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