... large real-time problem 大型实时问题 large scale memory 大容量存储器 large scientific code 大型科学计算程序 ...
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Reverse mappings help the system continue to perform and scale well when large applications are placing huge memory demands on the kernel and multiple processes are sharing memory.
当大型应用程序向内核请求大量内存和多个进程共享内存时,反向映射帮助系统继续有效地运行和扩展。
Clearly, all three solutions present limitations and the conventional buffer memory management approach is not a good mechanism for coding large-scale interacting software.
显而易见地,这三种解决办法全都存在局限性,因此传统缓冲区内存管理方法并不是适合编写大规模交互软件代码的机制。
The reason is that a program written with MPI is supposed to scale to a large number of processors, and a large number of processors never have Shared memory.
原因是程序编写与MPI应该扩展到大量的处理器,和大量的处理器从来没有共享内存。
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