• Title/Summary/Keyword: Modified Filter Cache

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Processor Design Technique for Low-Temperature Filter Cache (필터 캐쉬의 저온도 유지를 위한 프로세서 설계 기법)

  • Choi, Hong-Jun;Yang, Na-Ra;Lee, Jeong-A;Kim, Jong-Myon;Kim, Cheol-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.1-12
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    • 2010
  • Recently, processor performance has been improved dramatically. Unfortunately, as the process technology scales down, energy consumption in a processor increases significantly whereas the processor performance continues to improve. Moreover, peak temperature in the processor increases dramatically due to the increased power density, resulting in serious thermal problem. For this reason, performance, energy consumption and thermal problem should be considered together when designing up-to-date processors. This paper proposes three modified filter cache schemes to alleviate the thermal problem in the filter cache, which is one of the most energy-efficient design techniques in the hierarchical memory systems : Bypass Filter Cache (BFC), Duplicated Filter Cache (DFC) and Partitioned Filter Cache (PFC). BFC scheme enables the direct access to the L1 cache when the temperature on the filter cache exceeds the threshold, leading to reduced temperature on the filter cache. DFC scheme lowers temperature on the filter cache by appending an additional filter cache to the existing filter cache. The filter cache for PFC scheme is composed of two half-size filter caches to lower the temperature on the filter cache by reducing the access frequency. According to our simulations using Wattch and Hotspot, the proposed partitioned filter cache shows the lowest peak temperature on the filter cache, leading to higher reliability in the processor.

Filter Cache Predictor Using Mode Selection Bit (모드 선택 비트를 사용한 필터 캐시 예측기)

  • Kwak, Jong-Wook
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.5
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    • pp.1-13
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    • 2009
  • Filter cache has been introduced as one solution of reducing cache power consumption. More than 50% of the power reduction results from the filter cache, whereas more than 20% of the performance is compromised. To minimize the performance degradation of the filter cache, the predictive filter cache has been proposed. In this paper, we review the previous filter cache predictors and analyze the problems of the solutions. As a result, we found main problems that cause prediction misses in previous filter cache schemes and, to resolve the problems, this paper proposes a new prediction policy. In our scheme, some reference bit entries, called MSBs, are inserted into filter cache and BTB, to adaptively control the filter cache access. In simulation parts, we use a modified SimpleScalar simulator with MiBench benchmark programs to verify the proposed filter cache. The simulation result shows in average 5% performance improvement, compared to previous ones.

Low-power Filter Cache Design Technique for Multicore Processors (멀티 코어 프로세서를 위한 저전력 필터 캐쉬 설계 기법)

  • Park, Young-Jin;Kim, Jong-Myon;Kim, Cheol-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.12
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    • pp.9-16
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    • 2009
  • Energy consumption as well as performance should be considered when designing up-to-date multicore processors. In this paper, we propose new design technique to reduce the energy consumption in the instruction cache for multicore processors by using modified filter cache. The filter cache has been recognized as one of the most energy-efficient design techniques for singlecore processors. The energy consumed in the instruction cache accounts for a significant portion of total processor energy consumption. Therefore, energy-aware instruction cache design techniques are essential to reduce the energy consumption in a multicore processor. The proposed technique reduces the energy consumption in the instruction cache for multicore processors by reducing the number of accesses to the level-1 instruction cache. We evaluate the proposed design using a simulation infrastructure based on SimpleScalar and CACTI. Simulation results show that the proposed architecture reduces the energy consumption in the instruction cache for multicore processors by up to 3.4% compared to the conventional filter cache architecture. Moreover, the proposed architecture shows better performance over the conventional filter cache architecture.