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Kawamura, Takuma; Idomura, Yasuhiro; Miyamura, Hiroko; Takemiya, Hiroshi; Sakamoto, Naohisa*; Koyamada, Koji*
Visualization and Data Analysis 2015 (Proceedings of SPIE Vol.9397) (Internet), p.93970S_1 - 93970S_8, 2015/02
Times Cited Count：5 Percentile：89.26(Computer Science, Theory & Methods)In this paper, we propose a novel remote visualization system based on particle-based volume rendering (PBVR), which enables interactive analyses of extreme scale volume data located on remote computing systems. The remote PBVR system consists of Server, which generates particles for rendering, and Client, which processes volume rendering, and the particle data size becomes significantly smaller than the original volume data. Depending on network bandwidth, the level of detail of images is flexibly controlled to attain high frame rates. Server is highly parallelized on various parallel platforms with hybrid programing model. The mapping process is accelerated by two orders of magnitudes compared with a single CPU. The structured and unstructured volume data with 100 millions of cells is processed within a few seconds. Compared with commodity Client/Server visualization tools, the total processing cost is dramatically reduced by using proposed system.
Hoshi, Yoshiyuki; Kume, Etsuo
JAERI-Data/Code 2005-010, 48 Pages, 2005/09
JAERI-Data-Code-2005-010.pdf:8.7MB
In scientific and engineering calculations, recently, computational sizes and amounts of calculated results have been increased rapidly due to speedup of computers and increase in memory size. Post processing or visualization of a huge amount of numerical data plays a very important role for understanding the meaning of the data. Computational loads for visualization of large-scale data are still heavy even for graphic computers. Processing speeds for visualization of large-scale data are measured using general-purpose visualization software on graphic computers in JAERI. A guideline is summarized in this report to choose appropriate graphic computers according to the size of the data.
Nakajima, Norihiro; Ono, Nobuaki*; Suzuki, Yoshio*; Kureta, Masatoshi*
Denki Gakkai Rombunshi, C, 124(10), p.2197 - 2198, 2004/10
Our research interest is to implement volume rendering on CAVE system at enough frame rate. It can be implemented on CAVE easily using texture mapping but there are some defects; for example frame rate declines when the view point is close to the data and images projected to the screens become big. Thus we try to find another way to implement it on CAVE. Considering that Onyx300 is a parallel computer and there are some algorisms of volume rendering which improve the frame rate, we make the program that draws stereo images through two of the algorisms and by parallel computing, and displays only two images on CAVE. And we confirm that this program works well and draws stereo images at sufficient frame rates.
Takeshima, Yuriko; Takahashi, Shigeo*; Fujishiro, Issei*; Nielson, G. M.*
Proceedings of IEEE Visualization 2004 (VIS 2004) (CD-ROM), 2 Pages, 2004/10
no abstracts in English
Kawamura, Takuma; Idomura, Yasuhiro; Miyamura, Hiroko; Takemiya, Hiroshi
no journal, ,
Visualization and analysis of extreme scale data are important issues in the next generation Exa-scale simulations. In order to resolve this issue, a remote visualization system has been developed based on the particle-based volume rendering technique. The system connects a supercomputer and a PC via a Client/Server type distributed processing model. Extreme scale data is converted to small particle data via massively parallel data processing on a supercomputer, and the particle data is transferred and rendered on a PC. In this talk, we discuss the performance of remote visualization using the K-computer.
