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BCD: To Achieve the Theoretical Optimum of Spatial Locality Based Cache Replacement Algorithm

机译:BCD:实现空间基于空间的高速缓存替换算法的理论最优

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To achieve theoretical optimum of spatial locality based replacement algorithms, this paper proposes a block correlations directed cache replacement policy (BCD) which uses both of history and runtime access information to predict spatial locality, designs a replacement policy to use prediction results to improve the utilization of the cache and reduces the penalty incurred by incorrect predications. For most of real system workloads, BCD can reduce the cache miss ratio by 11%~38% compared with LRU and the miss ratio is only high than the theoretical optimum by 0%-7.9%.
机译:为了实现基于空间位置的替代算法的理论最优,提出了一种块相关的主导高速缓存替换策略(BCD),它使用历史和运行时访问信息来预测空间局部性,设计替换策略来使用预测结果提高利用率缓存并减少了错误预先发生的罚款。对于大多数实际系统工作负载,BCD可以将高速缓存未命中的比例降低11%〜38%,而LRU相比,未命中的比例仅高于理论最佳值0%-7.9%。

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