DocumentCode :
2967087
Title :
SLRF: A High-efficiency Shared Less Reused Filter in Chip Multiprocessors
Author :
Qiao, Fuming ; Yu, Baozhong ; Ma, Jianliang ; Chen, Tianzhou ; Hu, Tongsen
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ. of Technol., Hangzhou, China
Volume :
2
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
1191
Lastpage :
1197
Abstract :
In general, the Less Recently Used (LRU) policy was commonly employed to manage shared L2 cache in Chip Multiprocessors. However, LRU policy remains some deficiencies based on previous studies. In particular, LRU may perform considerably bad when the workloads of application program are larger than L2 cache, because there are usually a great number of less reused lines that are never reused or reused for few times in L2 cache. The cache performance can be improved significantly if we keep non-less reused lines rather than less reused lines in cache for a time quantum. This paper proposes a new architecture called Shared Less Reused Filter (SLRF) that applying the less reused filter that can filter out the less reused lines rather than just never reused lines according to the context of Chip Multiprocessors. Our experiments on a large set of multithread benchmarks, for 11 splash-2 benchmarks, demonstrate that our technique shows that augmented in a 2M LRU-managed L2 cache with a SLRF which has 256 KB filter buffer improves IPC by 13.43% compared with the context of the uniprocessor, and reduces the average MPKI by 18.20 %.
Keywords :
microprocessor chips; multi-threading; L2 cache; application program; chip multiprocessors; high-efficiency shared less reused filter; less recently used policy; multithread benchmarks; splash-2 benchmarks; time quantum; uniprocessor; Benchmark testing; Computer architecture; Context; Information filters; Oceans; Radiation detectors; Filter buffer; less reused line; predictor; shadow tag;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.582
Filename :
5751109
Link To Document :
بازگشت