This work takes a fresh look at the simulation of cache memories. It introduces the technique of static cache simulation that statically predicts a large portion of cache references. To efficiently utilize this technique, a method to perform efficient on-the-fly analysis of programs in general is developed and proved correct. This method is combined with static cache simulation for a number of applications. The application of fast instruction cache analysis provides a new framework to evaluate instruction cache memories that outperforms even the fastest techniques published. Static cache simulation is shown to address the issue of predicting cache behavior, contrary to the belief that cache memories introduce unpredictability to real-time systems that cannot be efficiently analyzed. Static cache simulation for instruction caches provides a large degree of predictability for real-time systems. In addition, an architectural modification through bit-encoding is introduced that provides fully predictable caching behavior. Even for regular instruction caches without architectural modifications, tight bounds for the execution time of real-time programs can be derived from the information provided by the static cache simulator. Finally, the debugging of real-time applications can be enhanced by displaying the timing information of the debugged program at breakpoints. The timing information is determined by simulating the instruction cache behavior during program execution and can be used, for example, to detect missed deadlines and locate time-consuming code portions. Overall, the technique of static cache simulation provides a novel approach to analyze cache memories and has been shown to be very efficient for numerous applications. / Source: Dissertation Abstracts International, Volume: 55-09, Section: B, page: 3982. / Major Professor: David B. Whalley. / Thesis (Ph.D.)--The Florida State University, 1994.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_77274 |
| Contributors | Mueller, Frank., Florida State University |
| Source Sets | Florida State University |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format | 165 p. |
| Rights | On campus use only. |
| Relation | Dissertation Abstracts International |
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