The Distributed Application Debugger

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