DocumentCode :
757907
Title :
Address-free memory access based on program syntax correlation of loads and stores
Author :
Peng, Lu ; Peir, Jih-Kwon ; Ma, Qianrong ; Lai, Konrad
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
Volume :
11
Issue :
3
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
314
Lastpage :
324
Abstract :
An increasing cache latency in next-generation processors incurs profound performance impacts in spite of advanced out-of-order execution techniques. One way to circumvent this cache latency problem is to predict load values at the onset of pipeline execution by exploiting either the load value locality or the address correlation of stores and loads. In this paper, we describe a new load value speculation mechanism based on the program syntax correlation of stores and loads. We establish a symbolic cache (SC) , which is accessed in early pipeline stages to achieve a zero-cycle load. Instead of using memory addresses, the SC is accessed by the encoding bits of base register ID plus the displacement directly from the instruction code. Performance evaluations using SPEC95 and SPEC2000 integer programs on SimpleScalar simulation tools show that the SC achieves higher prediction accuracy in comparison with other load value speculation methods, especially when hardware resources are limited.
Keywords :
cache storage; integer programming; microprocessor chips; pipeline processing; storage allocation; SPEC2000; SPEC95; SimpleScalar simulation; address-free memory access; base register ID; cache latency; displacement value; instruction code; integer programming; load value speculation; load-store correlation; microprocessor; out-of-order pipeline execution; program syntax correlation; symbolic cache; zero-cycle load; Accuracy; Delay; Encoding; Frequency estimation; Hardware; Microprocessors; Out of order; Pipelines; Predictive models; Registers;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2003.812315
Filename :
1218206
Link To Document :
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