firstly, to improve the mpiformatdb ’ s speed, a novel parallel algorithm based on shared memory architecture is presented . by adding openmp directives, the cycled parallel structure is formed from the serial algorithm 为了提高mpiformatdb的性能,本文提出一种基于共享存储结构的并行算法,通过在原串行算法中增加openmp编译指导命令来构造循环级并行结构。
we also explored many options in terms of parallel architectures, including workstation clusters, distributed memory architectures, shared memory architectures, and supercomputers . qualnet was implemented on shared memory for optimized simulation speed 我们还研究了平行结构的许多选项,包括工作站群集、分布式内存结构、共享式内存结构和巨型计算机。为优化的仿真速度,