Master of Science (MS)
First Committee Member
Jan B. Pedersen
Second Committee Member
Third Committee Member
Fourth Committee Member
Number of Pages
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.
C# (Computer program language); Debugger; Debugging in computer science – Computer programs; Distributed; MPI; Parallel programs (Computer programs); SSH; TCP
Jones, Michael Quinn, "The Distributed Application Debugger" (2013). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1847.