Date of Award
2014-01-01
Degree Name
Master of Science
Department
Computer Science
Advisor(s)
Shirley V. Moore
Abstract
This research is part of a co-design project that has the goal of designing hardware systems to match application requirements and efficiently mapping applications to hardware. This thesis is focused on optimizing the platform cache memory hierarchy configuration. To determine application requirements, we characterize the application using platform- independent locality metrics. Next we use locality data and an analytical model to predict cache an application performance of sequential versions of application codes for various cache configurations. After using an analytical model to select a candidate set of cache memory hierarchy configurations, we used architectural simulation to test the selection for the targeted systems.
Language
en
Provenance
Received from ProQuest
Copyright Date
2014
File Size
65 pages
File Format
application/pdf
Rights Holder
Sonish Shrestha
Recommended Citation
Shrestha, Sonish, "Platform-Independent Data Locality Analysis To Predict Cache Performance On Abstract Hardware Platforms" (2014). Open Access Theses & Dissertations. 1733.
https://scholarworks.utep.edu/open_etd/1733