DocumentCode
2349843
Title
Cache characterization surfaces and predicting workload miss rates
Author
Sorenson, Elizabeth S. ; Flanagan, J. Kelly
Author_Institution
Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
fYear
2001
fDate
2 Dec. 2001
Firstpage
129
Lastpage
139
Abstract
In this paper, we use locality surfaces to predict cache miss rates. To do this, we introduce two new surfaces. The miss surface characterizes how a trace is filtered by a particular cache in terms of locality. A cache characterization surface helps us examine caches in terms of what stride/delay relationships are likely to cause misses in the cache. The cache characterization surface is independent of any workload. We use these surfaces to quantitatively predict cache miss rates with some degree of accuracy.
Keywords
cache storage; storage management; cache characterization surfaces; cache miss rates; stride relationships; workload miss rates prediction; Computer science; Delay effects; Displays; Information filtering; Information filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop on
Print_ISBN
0-7803-7315-4
Type
conf
DOI
10.1109/WWC.2001.990752
Filename
990752
Link To Document