subpool：加速多处理器系统的对象分配。
Subpool: Speeds up object allocation on systems with very large Numbers of processors.
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。
You can now configure a private memory cache for every CPUVP to decrease the time of server memory allocation on large multiprocessor computers.
我们希望号码分配能够在包含多线程、多处理器、多服务器、多层和多用户P8环境中可靠地工作，并且实现出色的性能。
We want all of this to work reliably and with decent performance in a P8 environment that has multiple threads, multiple processors, multiple servers, multiple tiers, and multiple users.
分配组还有助于在多处理器系统上优化并行io性能，因为可以同时有多个元数据更新处于“在传输中”。
Allocation groups also help to optimize parallel IO performance on multiprocessor systems, because more than one metadata update can be "in transit" at the same time.
经典一维装箱问题在多处理器调度、资源分配和日常生活中的计划、包装、调度等优化问题中有着极为重要的应用。
One dimensional bin packing problem has many important applications such as multiprocessor scheduling, resource allocation, real world planning, and packing and scheduling optimization problems.
经典一维装箱问题在多处理器调度、资源分配和日常生活中的计划、包装、调度等优化问题中有着极为重要的应用。
One dimensional bin packing problem has many important applications such as multiprocessor scheduling, resource allocation, real world planning, and packing and scheduling optimization problems.
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