000099799 001__ 99799
000099799 005__ 20190316233921.0
000099799 037__ $$aCONF
000099799 245__ $$aCommunication Costs of Parallel Volume Rendering of Large Images on a Network Of Workstations
000099799 269__ $$a1996
000099799 260__ $$c1996
000099799 336__ $$aConference Papers
000099799 520__ $$aDirect Volume Rendering is a popular technique for visualization of 3D datasets that offers many advantages over other algorithms but requires important computing power. Efficient parallelization is therefore an essential need. Taking advantage of an existing LAN instead of using a dedicated parallel architecture can be a cost-effective solution. However this requires special attention in algorithm design to the specific aspects of a LAN as a parallel computing system (long latency, slow throughput). Besides, due to their large volume (up to 1GB), 3D datasets as those produced by modern medical scanners can not be made entirely resident into main memory. We present in this paper the study of an algorithm for direct volume rendering of large images on a local network of workstations which does not assume the presence of the whole dataset in main memory. A method for handling large distributed 3D image datasets is proposed and three parallelization strategies are compared based on communication performance measurements of a LAN.
000099799 6531_ $$aVisualization & Parallelism
000099799 700__ $$aFigueiredo, O.
000099799 700__ $$aGennart, B.
000099799 700__ $$0242314$$aHersch, R. D.$$g105390
000099799 773__ $$q185-194$$tSIWORK, Worstations und ihre Anwendungen
000099799 8564_ $$s174905$$uhttps://infoscience.epfl.ch/record/99799/files/ccopvrolioanow.pdf$$zn/a
000099799 909C0 $$0252034$$pLSP$$xU10417
000099799 909CO $$ooai:infoscience.tind.io:99799$$pconf$$pIC$$qGLOBAL_SET
000099799 937__ $$aLSP-CONF-1996-002
000099799 970__ $$a2074/LSP
000099799 973__ $$aEPFL$$sPUBLISHED
000099799 980__ $$aCONF