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 :
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