On computers that have many cpus , nonuniform memory access numa hardware can significantly improve performance by pairing dedicated memory with cpus 在安装有多个cpu的计算机中,非一致性内存访问( numa )硬件可以通过将专用内存与cpu配对来显著提高性能。
Synchronizes memory access as follows : the processor executing the current thread cannot reorder instructions in such a way that memory accesses prior to the call to 同步内存。其效果是将缓存内存中的内容刷新到主内存中,从而使处理器能执行当前线程。
When using hardware based non - uniform memory access numa and the affinity mask is set , every scheduler in a node will be affinitized to its own cpu 当使用基于硬件的非一致性内存访问( numa )并设置了关联掩码时,节点中的每个计划程序都将关联到它自己的cpu 。
With the help of a cache memory all memory access requests , whenever possible , take place in cahce memory ; main memory will be referred to only when it is necessary 只有在cache中不含有cpu所需的数据时cpu才去访问主存。 cache在cpu的读取期间依照优化命中原则淘汰和更新数据。
Since a cache memory system can reduce the need for main memory access , it greatly reduces the potential memory access contention in shared memory multiprocessor systems 可以把cache看成是主存与cpu之间的缓冲适配器,借助于cache ,可以高效地完成dram内存和cpu之间的速度匹配。
With the processor - memory performance gap continuing to grow , the performance of memory access becomes the major bottleneck of the performance improvement for modern microprocessors 随着存储系统的访问速度与处理器的运算速度的差距越来越显著,访存性能已成为提高计算机系统性能的瓶颈。
Today , the performance of processors is increasing at a faster step than that of memory . the long delay of memory access time has limited the development of computer performance 现在,计算机处理器性能提高的速度远高于存储器件性能的提高,而较长的存储访问延时大大限制了计算机性能的提高。
The proposed architecture exploits the parallelism in the avs motion compensation algorithm to accelerate the speed of operations and uses the dedicated design to optimize the memory access Mv预测模块采用流水结构加速avs特有的mv缩放操作,该流水结构也可应用到直接模式和对称模式的mv缩放中。