片语

LRU arithmetic最近最少使用算法

LRU Cache本地缓存类

LRU链lru chain

lru chainlru链

LRU U外场可换单元

void Lru最近最旧未用算法

LRU algorithmLRU算法

LRU LRU最近最少使用

LRU算法LRU algorithm

英汉例句

• How many items were evicted from the cache using the LRU (least recently used) algorithm?

  使用LRU(最近较少使用)算法从缓存中逐出的条目有多少。

• Besides, the terrain component render algorithm is the important basis of multi-layer terrain and LRU algorithm.

  在大规模地形的渲染处理中，使用了基于组件式的多层地形算法。

• DB2 maintains two LRU lists, one for randomly accessed pages, and another for sequentially accessed pages.

  DB 2维护两个lru列表，一个用于被随机访问的页，另一个用于被顺序访问的页。

• The metadata caching uses a modified broadcasting caching coherence protocol and LRU caching block replacing algorithm.

  元数据缓存使用改进的广播一致性协议和 LRU替换算法 。

• But in some cases, LRU algorithm causes many page faults, so improving LRU page replacement algorithm can reduce page faults, and therefore improve the performance of the system.

  但LRU算法在某些情况下会产生较多的缺页失败，改进LRU算法，降低缺页失败次数，可以有效地提高系统性能。

• For applications that are sensitive to response times, the old method of using aggressive LRU flushing to reduce checkpoint quiescent times can be changed.

  对于对响应时间敏感的应用程序，可以改变使用主动的LRU刷新减少检查点静默时间的旧方法。

• When this configuration parameter is enabled, the database server automatically adjusts the number of AIO virtual processors and cleaner threads, and automatically tunes LRU flushing.

  当这个配置参数被启用时，数据库服务器自动调整AIO虚拟处理器和清理线程的数量，并自动调优LRU刷新。

• It is not suited for high throughput caching and does not provide any LRU based cache invalidation or distributed locking semantics.

  它不适合进行高吞吐量的缓存，也不支持基于LRU (Latest Recently Used)的缓存校验与分布式的锁语义。

• The simulated test shows that this algorithm is superior to LRU algorithm.

  模拟测试的结果表明：本算法比lru算法优越。

• When the memory cache region becomes full, LRU removes the least recently used cached data first.

  当内存缓存区域满时，lru会首先删除最近最少使用的缓存数据。

• On the system verification platform, the function simulation in system level about the pseudo LRU mechanism and MESI protocol is taken, and the results conform to the original intension of our design.

  此外，为了验证LRU算法和一致性协议，我们在验证平台上做了相关的系统级功能模拟，逻辑模拟结果和设计初衷是吻合的。

• Less aggressive LRU flushing can improve transaction performance.

  更缓慢的LRU刷新可以提高事务性能。

• The paper analyzes and compares LRU algorithm, and combined with practical application, presents the improvement.

  本文分析、比较LRU算法，并就实际应用提出改进方案。

• The host, lacking guest page access information, is unable to properly apply its LRU algorithms when selecting pages to swap.

  由于主机缺乏客户页访问信息，从而不能在选择交换页面时合理地使用lru算法。