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首页> 外文期刊>Journal of Computers >Adaptive Capacity Sharing through Probabilistic Controlled Placement
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Adaptive Capacity Sharing through Probabilistic Controlled Placement

机译：通过概率控制放置共享自适应容量

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—As capacity demands vary among simultaneously executed threads in chip multiprocessors, dynamically managing cache resources according to the run-time demands is effective to improve L2 cache performance. Differed from existing dynamic cache management schemes based on LRU replacement policy, we propose an adaptive capacity sharing mechanism based on a global reuse replacement policy. This mechanism adopts decoupled tag and data arrays, and partitions the data arrays into private and shared regions. Capacity sharing is accomplished by determining whether to place the incoming data into the private data region or into the shared data region, which is controlled by probabilities. Our mechanism includes: (1) A VMON monitor to predict run-time capacity demands. (2) A PCS algorithm to determine the probabilities. (3) A probabilistic controlled placement scheme to enforce capacity sharing. We evaluated our mechanism with a full system simulation of an 8-core CMP and used parallel programs from PARSEC benchmark suite. We found that with the same total L2 cache capacity, our mechanism exceeds the conventional private cache managed by LRU policy, the private cache without sharing managed by reuse replacement policy, and an existing adaptive sharing scheme based on LRU policy.
机译：-AS容量需求在芯片多处理器中同时执行的线程之间变化，根据运行时需求动态管理高速缓存资源是有效的，可以有效地提高L2高速缓存性能。基于LRU替换策略的现有动态缓存管理方案不同，我们提出了一种基于全局重用替换策略的自适应容量共享机制。该机制采用分离标签和数据阵列，将数据阵列分组为私有和共享区域。通过确定是否将传入的数据放入私有数据区域或被概率控制的共享数据区域中来实现容量共享。我们的机制包括：（1）VMON监视器以预测运行时容量需求。 （2）用于确定概率的PCS算法。 （3）实施能力共享的概率控制的安置方案。我们评估了我们的机制，具有8核CMP的完整系统模拟，并使用Parsec基准套件使用并行程序。我们发现，通过相同的L2缓存容量，我们的机制超过了LRU策略管理的传统私人缓存，私有缓存而不通过重用替换策略管理，以及基于LRU策略的现有自适应共享方案。

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