Issues of Running Large Scientific Applications in a Distributed Environment

11/16/00


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Table of Contents

Issues of Running Large Scientific Applications in a Distributed Environment

Problem

Outline

Cactus

Sequential code

Sequential code (cont.)

Sequential behavior - cache

Parallel code

Parallel code (cont.)

Memory efficiency

Optimal ghost-zone size

Theoretical efficiency

Measured efficiency

Cluster of supercomputers

Cluster of supercomputers

Efficiency (cluster)

Ghostzone size (cluster)

Megacomputer

Load balancing

TCP scaling

TCP - channel sharing ability

Conclusions

Author: CS Instructional Computing Laboratories

Email: matei@cs.uchicago.edu

Home Page: http://www.cs.uchicago.edu

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