Performance Modeling for 3D Visualization in a Heterogeneous Computing Environment

Bowman, Ian ; Shalf, John ; Ma, Kwan-Liu ; Bethel, Wes

Lawrence Berkeley National Laboratory

关键词: Data Analysis;    Forecasting;    Pipelines;    Resource Management;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/841324
RP-ID  :  LBNL--56977
RP-ID  :  AC03-76SF00098
RP-ID  :  841324

美国|英语

来源: UNT Digital Library

【 摘 要 】

The visualization of large, remotely located data sets necessitates the development of a distributed computing pipeline in order to reduce the data, in stages, to a manageable size. The required baseline infrastructure for launching such a distributed pipeline is becoming available, but few services support even marginally optimal resource selection and partitioning of the data analysis workflow. We explore a methodology for building a model of overall application performance using a composition of the analytic models of individual components that comprise the pipeline. The analytic models are shown to be accurate on a testbed of distributed heterogeneous systems. The prediction methodology will form the foundation of a more robust resource management service for future Grid-based visualization applications.