Parallelized mathematical modeling of two-phase flow in NaCl-H₂0 system : multiprocessor benchmarking, 2017

Item — Call Number: MU Thesis Flo

Identifier: b7668718

Staff Only

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth University graduate Software Engineering program. The holdings are bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 2017

Creator

Flora, Nico A. (Nico Anthony) (1993- ) (Author, Person)
Tepfenhart, William M. (1956-2019) (Thesis advisor, Person)
Lewis, Kayla (Thesis advisor, Person)

Conditions Governing Access

The collection is open for research use. Access is by appointment only.

Access to the collection is confined to the Monmouth University Library and is subject to patron policies approved by the Monmouth University Library.

Collection holdings may not be borrowed through interlibrary loan.

Research appointments are scheduled by the Monmouth University Library Archives Collections Manager (723-923-4526). A minimum of three days advance notice is required to arrange a research appointment for access to the collection.

Patrons must complete a Researcher Registration Form and provide appropriate identification to gain access to the collection holdings. Copies of these documents will be kept on file at the Monmouth University Library.

Extent

1 Items (print book) : 46 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

FISHES, otherwise known as Fully Implicit Hydrothermal Event Simulator, simulates two-phase fluid flow in a porous matrix saturated with NaCl-H₂0. We discuss the addition of MUMPS, Multifrontal Massively Parallel sparse direct Solver, to FISHES. MUMPS is a tool that offers solutions to large linear systems that present complex arithmetic to achieve parallel factorization. We address the use of MPI (Message Passing Interface) and its implmentation with MUMPS to offer a parallel computing architecture. Our integration of MUMPS and MPI into FISHES will be benchmarked based on the run times of the scenarios that we present. We measure the effects on processor power versus run time for NaCl-H₂0 fluid flow systems near a hot wall. We show an increase in FISHES performance for increased temperature T with constant pressure p and X wt% NaCl ranging from T=310°C-350°C. We will discuss both the environment and hardware that was used in accordance with FISHES to reach a numerical solution.