DocumentCode :
1011953
Title :
Probabilistic counter updates for predictor hysteresis and bias
Author :
Riley, Nicholas ; Zilles, Craig
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, IL
Volume :
5
Issue :
1
fYear :
2006
Firstpage :
18
Lastpage :
21
Abstract :
Hardware predictor designers have incorporated hysteresis and/or bias to achieve desired behavior by increasing the number of bits per counter. Some resulting proposed predictor designs are currently impractical because their counter tables are too large. We describe a method for dramatically reducing the amount of storage required for a predictor´s counter table with minimal impact on prediction accuracy. Probabilistic updates to counter state are implemented using a hardware pseudo-random number generator to increment or decrement counters a fraction of the time, meaning fewer counter bits are required. We demonstrate the effectiveness of probabilistic updates in the context of Fields et al.´s critical path predictor, which employs a biased 6-bit counter. Averaged across the SPEC CINT2000 benchmarks, our 2-bit and 3-bit probabilistic counters closely approximate a 6-bit deterministic one (achieving speedups of 7.75% and 7.91% compared to 7.94%) when used for criticality-based scheduling in a clustered machine. Performance degrades gracefully, enabling even a 1-bit probabilistic counter to outperform the best 3-bit deterministic counter we found
Keywords :
computer architecture; probability; processor scheduling; random number generation; clustered machine; critical path predictor; criticality-based scheduling; hardware predictor design; hardware pseudorandom number generator; predictor bias; predictor hysteresis; predictors counter table; probabilistic counter update; Accuracy; Computer science; Costs; Counting circuits; Degradation; Hardware; Hysteresis; Microarchitecture; Pipelines; Processor scheduling;
fLanguage :
English
Journal_Title :
Computer Architecture Letters
Publisher :
ieee
ISSN :
1556-6056
Type :
jour
DOI :
10.1109/L-CA.2006.7
Filename :
1650137
Link To Document :
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