Time and Space Optimal Data Parallel Volume Rendering Using Permutation Warping
نویسندگان
چکیده
in the department of electrical engineering and the department of computer science and engineering. He earned his MSEE and Ph.D degrees in electri-period he designed and developed an anti-submarine warfare system for Indian Navy. Professor Somani's research interests are in the area of fault tolerant computing, computer interconnection networks, computer architecture, parallel computer systems algorithms. Currently he is involved in the following projects: i) high integrity system design specifically addressing the issues related to cache memory faults and performance analysis tools for such systems; ii) resource management , fault tolerance, and interworking of LAN/MAN/WAN in ATM networks; and iii) Optical WDM networks design and role of wavelength converters in such networks. He was the chief architect of the Meshkin architecture for fault tolerant computing and Proteus multiprocessor architecture designed and built at the University of Washington to study the effectiveness of coarse-grain processing mechanism. He is also developing an analysis tool, Himap, to facilitate hierarchical modeling and analysis of systems using fault trees, markov chains, and stochastic petri nets.
منابع مشابه
Data Dependent Optimizations for Permutation Volume Rendering
We have developed a highly e cient, high delity approach for parallel volume rendering that is called permutation warping. Permutation warping may use any one pass lter kernel, an example of which is trilinear reconstruction, an advantage over the shear warp approach. This work discusses experiments in improving permutation warping using data dependent optimizations to make it more competitive ...
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ورودعنوان ژورنال:
- J. Parallel Distrib. Comput.
دوره 46 شماره
صفحات -
تاریخ انتشار 1997