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
Link To Document :
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