Scalable Distributed Execution Environment for Large Data Visualization

To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential impact of the work, and also because of its use of a full range of challenging technologies. In this work, we designed an execution environment for visualization of massive scientific datasets, using network functional units (NFU) for processing power, logistical networking for storage management and visualization cookbook library (vcblib) for visualization operations. This environment is based solely on computers distributed across the Internet that are owned and operated by independent institutions, while being openly shared for free. Those Internet computers are inherently of heterogeneous hardware configuration and running a variety of operating systems. Using 100 such processors, we have been able to obtain the same level of performance offered by a 64-node cluster of 2.2 GHz P4 processors, while proces...

• Type: Conference
• Year: 2007
• Where: IPPS
• Authors: Micah Beck, Huadong Liu, Jian Huang, Terry Moore
• Keywords: Distributed And Parallel Computing, Execution Environment, Immense Potential Impact, IPPS 2007, Visualization Cookbook Library