Data-Parallel Volume Rendering with Adaptive Volume Subdivision
スポンサーリンク
概要
- 論文の詳細を見る
A data-parallel processing approach is promising for real-time volume rendering because of the massive parallelism in volume rendering. In data-parallel volume rendering, local results processing elements (PEs) generate from allocated subvolumes are integrated to form a final image. Generally, the integration causes an overhead unavoidable in data-parallel volume rendering due to communications among PEs. This paper proposes a data-parallel shear-warp volume rendering algorithm combined with an adaptive volume subdivision method to reduce the communication overhead and improve processing efficiency. We implement the parallel algorithm on a message-passing multi-processor system for performance evaluation. The experimental results show that the adaptive volume subdivision method can reduce the overhead and achieve higher efficiency compared with a conventional slab subdivision method.
- 社団法人電子情報通信学会の論文
- 2000-01-25
著者
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KOBAYASHI Hiroaki
Information Synergy Center, Tohoku University
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KOBAYASHI Hiroaki
the Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohok
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NAKAMURA Tadao
the Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohok
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Nakajima T
Laboratory Of Enzymology Graduate School Of Agricultural Science Tohoku University
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Kobayashi H
Information Synergy Center Tohoku University
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Sano Kentaro
Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku Univ
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Nakamura T
Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku Univ
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SANO Kentaro
the Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohok
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KITAJIMA Hiroyuki
the Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohok
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Kitajima Hiroyuki
The Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku
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Kobayashi Hiroaki
The Department Of Aging Medicine And Geriatrics
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