Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-10012
Authors: Nachtmann, Mathias
Title: Model-centric task debugging at scale
Issue Date: 2017
Publisher: Stuttgart : Höchstleistungsrechenzentrum, Universität Stuttgart
metadata.ubs.publikation.typ: Dissertation
metadata.ubs.publikation.seiten: xvii, 104
Series/Report no.: HLRS;17
URI: http://elib.uni-stuttgart.de/handle/11682/10029
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-100290
http://dx.doi.org/10.18419/opus-10012
ISSN: 0941-4665
Abstract: Chapter 1, Introduction, presents state of the art debugging techniques in high-performance computing. The lack of information out of the programming model, these traditional debugging tools suffer, motivated the model-centric debugging approach. Chapter 2, Technical Background: Parallel Programming Models & Tools, exemplifies the programming models used in the scope of my work. The differences between those models are illustrated, and for the most popular programming models in HPC, examples are attached in this chapter. The chapter also describes Temanejo, the toolchain's front-end, which supports the application developer during his actions. In the following chapter (Chapter 4), Design: Events & Requests in Ayudame, the theory of task" and dependency" representation is stated. The chapter includes the design of different information types, which are later on used for the communication between a programming model and the model-centric debugging approach. In chapter 5, Design: Communication Back-end Ayudame, the design of the back-end tool infrastructure is described in detail. This also includes the problems occurring during the design process and their specific solutions. The concept of a multi-process environment and the usage of different programming models at the same time is also part of this chapter. The following chapter (Chapter 6), Instrumentation of Runtime Systems, briefly describes the information exchange between a programming model and the model-centric debugging approach. The different ways of monitoring and controlling an application through its programming model are illustrated. In chapter 7, Case Study: Performance Debugging, the model-centric debugging approach is used for optimising an application. All necessary optimisation steps are described in detail, with the help of mock-ups. Additionally, a description of the different optimised versions is included in this chapter. The evaluation, done on different hardware architectures, is presented and discussed. This includes not only the behaviour of the versions on different platforms but also architecture specific issues.
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