MPI-based scalable computing platform for parallel numerical application

Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.

Bibliographic Details
Main Author: Albaiz, Abdulaziz (Abdulaziz Mohammad)
Other Authors: John R. Williams.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/95562
_version_ 1826192282487881728
author Albaiz, Abdulaziz (Abdulaziz Mohammad)
author2 John R. Williams.
author_facet John R. Williams.
Albaiz, Abdulaziz (Abdulaziz Mohammad)
author_sort Albaiz, Abdulaziz (Abdulaziz Mohammad)
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.
first_indexed 2024-09-23T09:08:47Z
format Thesis
id mit-1721.1/95562
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T09:08:47Z
publishDate 2015
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/955622019-04-10T21:00:23Z MPI-based scalable computing platform for parallel numerical application Message Passing Interface-based scalable computing platform for parallel numerical application Albaiz, Abdulaziz (Abdulaziz Mohammad) John R. Williams. Massachusetts Institute of Technology. Computation for Design and Optimization Program. Massachusetts Institute of Technology. Computation for Design and Optimization Program. Computation for Design and Optimization Program. Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (page 61). Developing parallel numerical applications, such as simulators and solvers, involves a variety of challenges in dealing with data partitioning, workload balancing, data dependencies, and synchronization. Many numerical applications share the need for an underlying parallel framework for parallelization on multi-core/multi-machine hardware. In this thesis, a computing platform for parallel numerical applications is designed and implemented. The platform performs parallelization by multiprocessing over MPI library, and serves as a layer of abstraction that hides the complexities in dealing with data distribution and inter-process communication. It also provides the essential functions that most numerical application use, such as handling data-dependency, workload-balancing, and overlapping communication and computation. The performance evaluation of the parallel platform shows that it is highly scalable for large problems. by Abdulaziz Albaiz. S.M. 2015-02-25T17:10:16Z 2015-02-25T17:10:16Z 2014 2014 Thesis http://hdl.handle.net/1721.1/95562 903536425 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 61 pages application/pdf Massachusetts Institute of Technology
spellingShingle Computation for Design and Optimization Program.
Albaiz, Abdulaziz (Abdulaziz Mohammad)
MPI-based scalable computing platform for parallel numerical application
title MPI-based scalable computing platform for parallel numerical application
title_full MPI-based scalable computing platform for parallel numerical application
title_fullStr MPI-based scalable computing platform for parallel numerical application
title_full_unstemmed MPI-based scalable computing platform for parallel numerical application
title_short MPI-based scalable computing platform for parallel numerical application
title_sort mpi based scalable computing platform for parallel numerical application
topic Computation for Design and Optimization Program.
url http://hdl.handle.net/1721.1/95562
work_keys_str_mv AT albaizabdulazizabdulazizmohammad mpibasedscalablecomputingplatformforparallelnumericalapplication
AT albaizabdulazizabdulazizmohammad messagepassinginterfacebasedscalablecomputingplatformforparallelnumericalapplication