NUMA信息详情
纽马
非均衡存储器访问
n.(Numa)人名；(法)尼马；(西、葡)努马
Duma───n.杜马（俄帝时代的国会）
Yuma───n.尤马（北美印第安部落）；尤马族语；尤马族人
Zuma───n.祖玛（游戏名）
huma───n.呼玛（位于黑龙江省北部）；修玛（姓名）
luma───n.亮度；n.(Luma)人名；(喀)卢马
nema───国家电气制造业协会（NationalElectricalManufacturersAssociation）
noma───abbr.国家事务管理协会（NationalOfficeManagementAssociation）；全国石油零售业协会（NationalOilMarketersAssociation）；日本事务管理协会（NipponOfficeManagementAssociation）；n.(Noma)人名；(阿拉伯)努马
num───abbr.号码（number）；数字（numeral）；n.(Num)人名；(柬)农
num.───abbr.数字（number）；号码（number）；数的（numeral）；数词（numeral）
NUMA support for logical database partitions───对逻辑数据库分区的 NUMA 支持
Most applications will benefit from the 2.6 kernel level NUMA support.───大部分应用程序将受益于2.6内核级NUMA支持。
In NUMA systems, each processor is close to some parts of memory and further from others.───在NUMA系统中，每个处理器距某部分内存较近而距其他内存较远。
The main thing done in the relational database was to use "soft NUMA" and port mapping to get a good distribution of work within the system.───我们在关系型数据库中完成了被称为“SoftNUMA”的技术，它通过端口映射在系统内部得以获得良好的分布式工作效果。
All traffic enters through a single port and is distributed on a round-robin basis to any available NUMA node.───所有通信流量都通过一个单独的端口输入并分布到任何可用的NUMA节点。
To understand how pages of memory from the buffer cache are assigned when using NUMA, see Growing and Shrinking the Buffer Pool Under NUMA.───若要了解使用NUMA时如何分配缓冲区高速缓存中的内存页，请参阅使用NUMA扩展和收缩缓冲池。
Systems with a large number of processors may find it advantageous to recompile against the NUMA user-land API's added in RHEL4.───在拥有大量处理器的系统中，可能会发现借助RHEL4中所增加的NUMA用户空间API进行重新编译会有好处。
NUMA, like SMP, allows users to harness the combined power of multiple processors, with each processor accessing a common memory pool.───numa与smp相似，让用户能驾驭多个处理器结合起来的能力，每个处理器能存取一个公共的存储器组。
NUMA reduces the contention for a system's shared memory bus by having more memory buses and fewer processors on each bus.───NUMA通过在每个总线使用更多内存总线和更少处理器来减少系统共享内存总线的争用。
NUMA alleviates these bottlenecks by limiting the number of CPUs on any one memory bus, and by connecting the various nodes through a high-speed interconnection.
The NUMA architecture can increase processor speed without increasing the load on the processor bus.
Not just for SMP or NUMA, but for everything from a single-node UP system to a massively clustered system.
NUMA alleviates these bottlenecks by limiting the number of CPUs on any one memory bus and connecting the various nodes by means of a high speed interconnection.
To understand how NUMA works it's necessary to know how traditional symmetrical multiprocessing ( SMP ) works.
To understand NUMA works it's necessary to know how traditional symmetrical multiprocessing ( SMP ) works.
NUMA, like SMP, allows users to harness the combined power of multiple processors, with each processor accessing a common memory pool.
NUMA reduces the contention for a system's shared memory bus by having more memory buses and fewer processors on each bus.