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A Way-Filtering-Based Dynamic Logical–Associative Cache
Architecture for Low-Energy Consumption
ABSTRACT:
Last-level caches (LLCs) help improve performance but suffer from energy
overhead because of their large sizes. An effective solution to this problem is to
selectively power down several cache ways, which, however, reduces cache
associativity and performance and thus limits its effectiveness in reducing energy
consumption. To overcome this limitation, we propose a new cache architecture
that can logically increase cache associativity of way-powered-down LLCs. Our
proposed scheme is designed to be dynamic in activating an appropriate number of
cache ways in order to eliminate the need for static profiling to determine an
energy-optimized cache configuration. The experimental results show that our
proposed dynamic scheme reduces the energy consumption of LLCs by 34% and
40% on single- and dual-core systems, respectively, compared with the best
performing conventional static cache configuration. The overall system energy
consumption including CPU, L2 cache, and DRAM is reduced by 9.2% on quad-
core systems. The proposed architecture of this paper analysis the logic size, area
and power consumption using Xilinx 14.2.
SOFTWARE IMPLEMENTATION:
 Modelsim
 Xilinx ISE

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A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-Energy Consumption

  • 1. A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-Energy Consumption ABSTRACT: Last-level caches (LLCs) help improve performance but suffer from energy overhead because of their large sizes. An effective solution to this problem is to selectively power down several cache ways, which, however, reduces cache associativity and performance and thus limits its effectiveness in reducing energy consumption. To overcome this limitation, we propose a new cache architecture that can logically increase cache associativity of way-powered-down LLCs. Our proposed scheme is designed to be dynamic in activating an appropriate number of cache ways in order to eliminate the need for static profiling to determine an energy-optimized cache configuration. The experimental results show that our proposed dynamic scheme reduces the energy consumption of LLCs by 34% and 40% on single- and dual-core systems, respectively, compared with the best performing conventional static cache configuration. The overall system energy consumption including CPU, L2 cache, and DRAM is reduced by 9.2% on quad- core systems. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.