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Design of Way Tag L2 Cache Architecture Using Partial Tag Bloom Filter


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1 Department of ECE, Dhanalakshmi Srinivasan College of Engineering, Navakkarai, Coimbatore, India
     

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Today’s trend toward high speed as well as low power processors are the development of different level of cache for write through process. To improve the processing time there for decreases the power uses , tag of cache L2 placed in L1 cache, it reduces the power by 62%. Further decrease of power by partial tag enhanced Bloom filter to improve the accuracy of the cache miss prediction method reduce the tag comparisons of the cache hit prediction method. Here also combine both methods so that their order of application can be dynamically adjusted to adapt to changing cache access behavior, which further reduces tag comparisons. To overcome the common limitation of multistep tag comparison methods, The method that reduces tag comparisons while meeting the given performance bound. Experimental results showed that the proposed method reduces the energy consumption of tag comparison by an average of 88.40%, which translates to an average reduction of 35.34% (40.19% with low-power data access) in the total energy consumption of the L2 cache and a further reduction of 8.86% (10.07% with low-power data access) when compared with existing methods.

Keywords

Bloom Filter (BF), Cache, Power Consumption, Tag Comparison, Way Prediction.
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  • Design of Way Tag L2 Cache Architecture Using Partial Tag Bloom Filter

Abstract Views: 173  |  PDF Views: 2

Authors

A. K. Arunkumar
Department of ECE, Dhanalakshmi Srinivasan College of Engineering, Navakkarai, Coimbatore, India
R. Boobalan
Department of ECE, Dhanalakshmi Srinivasan College of Engineering, Navakkarai, Coimbatore, India

Abstract


Today’s trend toward high speed as well as low power processors are the development of different level of cache for write through process. To improve the processing time there for decreases the power uses , tag of cache L2 placed in L1 cache, it reduces the power by 62%. Further decrease of power by partial tag enhanced Bloom filter to improve the accuracy of the cache miss prediction method reduce the tag comparisons of the cache hit prediction method. Here also combine both methods so that their order of application can be dynamically adjusted to adapt to changing cache access behavior, which further reduces tag comparisons. To overcome the common limitation of multistep tag comparison methods, The method that reduces tag comparisons while meeting the given performance bound. Experimental results showed that the proposed method reduces the energy consumption of tag comparison by an average of 88.40%, which translates to an average reduction of 35.34% (40.19% with low-power data access) in the total energy consumption of the L2 cache and a further reduction of 8.86% (10.07% with low-power data access) when compared with existing methods.

Keywords


Bloom Filter (BF), Cache, Power Consumption, Tag Comparison, Way Prediction.