DocumentCode
2846422
Title
Using prime numbers for cache indexing to eliminate conflict misses
Author
Kharbutli, Mazen ; Irwin, Keith ; Solihin, Yan ; Lee, Jaejin
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear
2004
fDate
14-18 Feb. 2004
Firstpage
288
Lastpage
299
Abstract
Using alternative cache indexing/hashing functions is a popular technique to reduce conflict misses by achieving a more uniform cache access distribution across the sets in the cache. Although various alternative hashing functions have been demonstrated to eliminate the worst case conflict behavior, no study has really analyzed the pathological behavior of such hashing functions that often result in performance slowdown. We present an in-depth analysis of the pathological behavior of cache hashing functions. Based on the analysis, we propose two new hashing functions: prime modulo and prime displacement that are resistant to pathological behavior and yet are able to eliminate the worst case conflict behavior in the L2 cache. We show that these two schemes can be implemented in fast hardware using a set of narrow add operations, with negligible fragmentation in the L2 cache. We evaluate the schemes on 23 memory intensive applications. For applications that have nonuniform cache accesses, both prime modulo and prime displacement hashing achieve an average speedup of 1.27 compared to traditional hashing, without slowing down any of the 23 benchmarks. We also evaluate using multiple prime displacement hashing functions in conjunction with a skewed associative L2 cache. The skewed associative cache achieves a better average speedup at the cost of some pathological behavior that slows down four applications by up to 7%.
Keywords
cache storage; cache indexing; hashing function; memory intensive application; prime displacement; prime modulo; prime number; skewed associative cache; Computer science; Concurrent computing; Costs; Distributed computing; Educational programs; Educational technology; Hardware; Indexing; Pathology; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Software, IEE Proceedings-
ISSN
1530-0897
Print_ISBN
0-7695-2053-7
Type
conf
DOI
10.1109/HPCA.2004.10015
Filename
1410085
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