Performance Modeling for 3D Visualization in a Heterogeneous Computing Environment

Technical Report · Wed Jun 30 04:00:00 EDT 2004

DOI:https://doi.org/10.2172/841324· OSTI ID:841324

Bowman, Ian ^[1]; Shalf, John; Ma, Kwan-Liu; Bethel, Wes

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1. LBNL Library

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.

• Research Organization: Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US)
• Sponsoring Organization: USDOE Director. Office of Science. Office of Advanced Scientific Computing Research, Contract DE-AC03-76SF00098, Science Discovery through Advanced Computing DE-FC02-01ER41202, Accelerated Strategic Computing Initiative NO B523578; National Science Foundation Contracts ACI9983640 and ACI0325934 (US)
• DOE Contract Number: AC03-76SF00098
• OSTI ID: 841324
• Report Number(s): LBNL--56977
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
DATA ANALYSIS
DISTRIBUTED VISUALIZATION PERFORMANCE MODELING OPTIMAL COMPONENT PLACEMENT GRID VISUALIZATION
FORECASTING
LAUNCHING
PERFORMANCE
PIPELINES
RESOURCE MANAGEMENT
SIMULATION