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A Scalable Data-Distributed Algorithm for Volume Rendering on Parallel Virtual Machines

机译:用于并行虚拟机的卷渲染的可伸缩数据分布式算法

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摘要

An algorithm is presented for volume rendering in environments of parallel virtual machines. Toreduce the communication cost, as well as to guarantee the locality of all subtasks, the volume data is dividedinto and organized as a series of slices. The task subdivision algorithm produces acceptable load balancing bymaintaining and employing a database of performance indices. An asynchronous binary method merges allpartial images in O(Iogn) time. An efficient development platform based on TCP/IP and Socket standards canhelp parallelize various rendering algorithms on virtual machines. Our algorithm was implemented on thisplatform using the classical client/server paradigm. The scalabilities of both task size and host number weretested experimentally.``
机译:提出了一种在并行虚拟机环境中进行体积渲染的算法。为了降低通信成本,并保证所有子任务的局部性,将体数据分为一系列组织。任务细分算法通过维护和采用性能指标数据库来产生可接受的负载平衡。异步二进制方法在O(Iogn)时间内合并所有部分图像。一个基于TCP / IP和Socket标准的高效开发平台可以帮助并行化虚拟机上的各种渲染算法。我们的算法是使用经典的客户端/服务器范例在此平台上实现的。任务大小和主机数量的可扩展性都通过实验进行了测试。

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