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The Distributed Application Debugger

Bibliographic Details
Title: The Distributed Application Debugger
Authors: Jones, Michael Quinn
Source: UNLV Theses, Dissertations, Professional Papers, and Capstones
Publisher Information: UNLV's Repository for Research, Scholarship, and Creative Activity
Publication Year: 2013
Collection: University of Nevada, Las Vegas: Digital Scholarship@UNLV
Subject Terms: C# (Computer program language), Debugger, Debugging in computer science – Computer programs, Distributed, MPI, Parallel programs (Computer programs), SSH, TCP, Computer Sciences
Description: Developing parallel programs which run on distributed computer clusters introduces additional challenges to those present in traditional sequential programs. Debugging parallel programs requires not only inspecting the sequential code executing on each node but also tracking the flow of messages being passed between them in order to infer where the source of a bug actually lies. This thesis focuses on a debugging too called The Distributed Application Debugger which targets a popular distributed C programming library called MPI (Message Passing Interface). The tool is composed of multiple components which run together seamlessly to provide its users an effective way to remotely launch, replay, and analyze parallel programs both while they are running and after they complete.
Document Type: text
File Description: application/pdf
Language: English
Relation: https://oasis.library.unlv.edu/thesesdissertations/1847; https://oasis.library.unlv.edu/context/thesesdissertations/article/2848/viewcontent/Jones_unlv_0506M_11339.pdf
DOI: 10.34917/4478266
Availability: https://oasis.library.unlv.edu/thesesdissertations/1847
https://doi.org/10.34917/4478266
https://oasis.library.unlv.edu/context/thesesdissertations/article/2848/viewcontent/Jones_unlv_0506M_11339.pdf
Rights: IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Accession Number: edsbas.1BFCC56F
Database: BASE
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  Data: Developing parallel programs which run on distributed computer clusters introduces additional challenges to those present in traditional sequential programs. Debugging parallel programs requires not only inspecting the sequential code executing on each node but also tracking the flow of messages being passed between them in order to infer where the source of a bug actually lies. This thesis focuses on a debugging too called The Distributed Application Debugger which targets a popular distributed C programming library called MPI (Message Passing Interface). The tool is composed of multiple components which run together seamlessly to provide its users an effective way to remotely launch, replay, and analyze parallel programs both while they are running and after they complete.
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      – SubjectFull: Debugger
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