Improving a computers performance has been of major interest to all users around the world, from computing centers to private persons, ever since computer science has entered the stage and then the spotlight in the 1940’s. Most often times, this is either achieved by exchanging parts of the computer with better performing parts, called an upgrade, or by simply buying a newer and better computer.
Another approach, which originates from the scientific community, is the optimization of the source code of an application. Thereby, the application programmer capitalizes his knowledge about the underlying platform and its tool-chain in order to gain tweaked binary code, which results in a better performance. It is clear, that this technique will never be an option for consumer electronics or people outside the area of programming and software development. Traditionally, these users stick with the upgrade/buy new method.
During the last years, consumer electronics improved into multi-tool devices, which are capable of almost any functionality, originating from their internet connection and their ability to dynamically download and install new software. Certainly, it may happen that an application is too demanding for a given underlying hardware revision. As these new devices are built in a monolithic way, a hardware upgrade is not an option. Nonetheless, most users do not want to buy a new device every time this happens. Thus, it is necessary to provide a possibility, which allows the processor to adapt to a given application at runtime, and thereby improving its own performance. This thesis presents three major approaches to such a runtime dynamic application acceleration.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-226698 |
| Date | 03 August 2017 |
| Creators | Döbrich, Stefan |
| Contributors | Technische Universität Dresden, Fakultät Informatik, Prof. Dr.-Ing. Christian Hochberger, Prof. Dr.-Ing. habil. Andreas Koch, Prof. Dr. Christof Fetzer |
| Publisher | Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:doctoralThesis |
| Format | application/pdf |
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