Author Type

Graduate Student

Date of Award

1997

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Evett, Matthew P.

Abstract

Environmental simulations are computationally very demanding. South Florida Water Management District has implemented the Everglades Landscape Model (ELM) to simulate the ecosystem in South Florida. The current implementation parallelizes all of the model except the canal system. This thesis describes the parallelization of the canal system. We study the canal system and its interaction with the rest of the ELM, and created three distinct parallel implementations. Two of the methods, one-do-all and all-do-all, provide parallelism via task replication while the third method, task-parallel, decomposes the canal system into tasks and uses a locality-based heuristic algorithm to schedule the tasks. We analyze the performance of three methods and discuss future directions for parallelization of the ELM and other environmental models.

Extent

100 p.

Comments

College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 1997.|College of Engineering and Computer Science

Identifier

FADT15476

Format

pdf

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