• Good hash function for cache memory?

    用于高速缓冲存储器的好的散列函数?

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  • Note that there is a limited cache memory management.

    请注意这是一个受限制的高速缓存内存管理。

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  • OProfile analysis: Cache memory utilization problem.

    Oprofile分析:高速缓存利用率问题。

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  • Microprocessor engineers decided to give the cache memory a cache.

    微处理器工程师在原有快取芯片上再加上一个快取芯片。

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  • Using the Image Preprocessor to reduce RAM cache memory requirements.

    使用图像预处理,以减少RAM的快取记忆体的要求。

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  • Buffer Cache Memory allocated for storing data blocks read from physical data files.

    缓冲区缓存为存储从物理数据文件读取的数据块而分配的内存。

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  • When the CPU reads data from main memory, a copy of this data is stored in the cache memory.

    当CPU从主内存中读取数据时,一份数据拷贝将被存储在高速缓存中。

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  • The amount of cache memory available to the database server can be a key factor in affecting performance.

    数据库服务器可用的高速缓存内存数量可能是影响性能的关键因素。

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  • In a traditional application server environment, cache memory is contained within each application server instance.

    在传统应用程序服务器环境中,缓存内存包含在每个应用程序服务器实例中。

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  • The next time the CPU reads the same address, the data is transferred from the cache memory instead of from main memory.

    当CPU下次读取相同地址时,数据将从高度缓存中而不是主存储器中传出。

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  • This makes it very similar to caching operations, where blocks of instructions are moved from memory into a local fast cache memory for execution.

    这使它与缓存操作非常类似,后者是将指令块从内存移动到本地快速缓存中执行。

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  • This text analysis the structure and work elements of cache memory, the procession of cache memory, and the expect to the performance of CPU.

    本文分析了高速缓存的结构和工作原理,阐述了高速缓存的工作过程以及对处理器性能的影响。

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  • The digital video signals bit plane separation strategy is applied in the circuit design, and the sub-field writing-in and sub-area readout to the cache memory method is used.

    该电路的设计,应用了数字视频数据信号位面分离的策略,采用了分场写入、分区读出缓存存储器的方法。

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  • Memory cache for various requests illustrates one aspect of the statelessness rule.

    各种请求的内存缓存从一方面说明了无状态规则。

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  • Session stores a copy of an item in the cache for each session (memory only).

    会话在缓存中为每个会话存储一个条目的副本(仅内存)。

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  • This improves the performance characteristics of the system memory cache, and, in turn, the application itself.

    这有助于改进系统内存缓存的性能特征,从而提高应用程序本身的性能。

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  • If all the data fits in the cache, then the data is read from disk only once; after that, all requests are satisfied from the cache at memory speed.

    如果所有数据都在缓存中,那么只需从磁盘读取一次数据;毕竟,所有的请求都可以用内存速度从缓存中得到满足。

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  • If the memory cache is used only for performance reasons, then storing data in memory cache might not be such a big problem.

    如果只是由于性能方面的原因而使用内存缓存,则在内存缓存中存储数据可能不会是个大问题。

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  • Instance resources include memory, cache, process, sessions, thresholds, and storage resources.

    实例资源包括内存、缓存、进程、会话、阈值和存储资源。

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  • If the value is 0, the memory cache will not be created.

    如果该值为0,那么将不会创建内存高速缓存。

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  • You can now configure a private memory cache for every CPUVP to decrease the time of server memory allocation on large multiprocessor computers.

    现在可以为每个CPUVP配置一个私有内存缓存,以减少大型多处理器计算机上的服务器内存分配时间。

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  • The additional CPUs, amount of level two cache, and memory provided better capacity and response time at specific user loads.

    额外的CPU、二级缓存量和内存,在特定用户负载下可提供更好的容量和响应时间。

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  • Finally, having extra memory on hand allows the file systems to cache files and metadata in memory.

    最后,安装更多内存让文件系统可以把文件和元数据缓存在内存中。

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  • This can also improve performance by reducing L3 cache and memory contention.

    这样做还可以通过减少L3缓存和内存争用,从而改善了性能。

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  • 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。

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  • It can be configured to offload cache to disk if the memory cache is full (via the disk offload function).

    还可以设置如果内存高速缓存已满,就将缓存转存到磁盘(通过磁盘转存功能)。

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  • Read-only reference data can be kept in a cache in memory.

    只读引用数据可以被保持在内存缓存中。

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  • Performance can suffer because the database is too large for any significant part of it to fit in an in-memory cache.

    性能也会受影响,因为数据库实在太大,数据库中的任何有效部分都无法装入内存中的缓存。

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  • Performance can suffer because the database is too large for any significant part of it to fit in an in-memory cache.

    性能也会受影响,因为数据库实在太大,数据库中的任何有效部分都无法装入内存中的缓存。

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