A toolbox of scalable algorithms and software for on-line and off-line management of advanced scientific simulations

被引：0

作者：

Li, C ^{[1
]}

Plassmann, PE ^{[1
]}

机构：

[1] Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA

来源：

PDPTA '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS 1-3 | 2004年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A central problem for many large-scale scientific and engineering simulations is the efficient archival and analysis of the tremendous amount of data that is generated To address this problem, in this paper we present algorithms for the efficient compression and subsequent querying of such data sets on parallel computers. In addition, we discuss the integration of these algorithms into a software system for the on-line monitoring, steering, and visualization of such simulations. This system, SAVE is based on a functional representation of the underlying simulation data and the use of POSSE-a portable, object-oriented, scientific steering environment. We present experimental results for the use of this system within a computational fluid dynamics simulation of a turbulent reacting flow. We believe that this software represents a promising tool for the on-line and off-line management of large-scale scientific simulation data.

引用

页码：577 / 583

页数：7