字典九九>英语词典>memory access翻译和用法

memory access

英 [ˈmeməri ˈækses]

美 [ˈmeməri ˈækses]

存储访问,内存访问;存取存储器

计算机

英英释义

noun

  • (computer science) the operation of reading or writing stored information
      Synonym:access

    双语例句

    • When AME is enabled for an LPAR, the operating system starts compressing and decompressing data in memory based on the workload's memory access pattern.
      在为LPAR启用AME时,操作系统将开始根据工作负载的内存访问模式压缩和解压缩内存中的数据。
    • Design and Optimization of Memory Access Structure for Multicore-SoC Based on SPM
      基于SPM的多核SoC访存结构设计与优化
    • This increases the latency of the task's memory access until its data is in the cache of the new CPU.
      这就增加了任务的内存访问延迟,这些时间用来将其数据移入新CPU的内存中。
    • Does it contain memory access errors?
      是否包括内存访问错误?
    • We also add the'unsafe'keyword since direct memory access isn't thread safe.
      我们也添加了“不安全”的关键词因为直接内存获取并不安全。
    • The SPEs access main storage with direct memory access ( DMA) commands that move data and instructions between main storage and a private local memory, called a local store or local storage ( LS).
      SPE用直接内存访问(DMA)命令访问主存储器,可以在主存储器与称为本地库或本地存储(LS)的私有本地内存之间移动数据和指令。
    • The other main type of processor architecture, CISC ( the x86 processor being a popular CISC instruction set), allows for memory access in nearly every instruction.
      另外一种主要的处理器体系结构CISC(x86处理器就是一种流行的CISC指令集)几乎允许在每条指令中进行内存访问。
    • On the other side are the technological advances made in the platform, including architectures ( multiprocessing, symmetric multithreading, non-uniform memory access [ NUMA]) and virtualization.
      另一方面,它要考虑平台方面的技术进步,包括架构(多处理、对称多线程、非一致内存访问[NUMA]和虚拟化)。
    • For C and C++ programs ( not Java or. NET), Purify works by inserting extra instructions around every memory access the program performs.
      对于C和C++程序(而不是Java或者.NET),Purify通过在这个程序执行中的每一个内存访问周围插入额外的指令来工作。
    • It results in a tighter coupling between client and server, and also completely ignores things like latency, failure, lack of a shared memory access, etc.
      它导致客户端和服务之间更加紧耦合,并且完全忽略了像延时、失败、缺乏共享的内存访问等东西。