在Linux系统中,进程作为实体自始至终运行在系统之中,进程使用系统的资源,而进程的调度更是影响系统的性能:进程响应时间尽可能快,后台进程的吞吐量尽可能高,进程"饿死"现象尽可能避免,低优先级和高优先级进程需要尽可能调和...在Linux系统中,进程作为实体自始至终运行在系统之中,进程使用系统的资源,而进程的调度更是影响系统的性能:进程响应时间尽可能快,后台进程的吞吐量尽可能高,进程"饿死"现象尽可能避免,低优先级和高优先级进程需要尽可能调和。本文从Linux 2.4.0内核角度分析影响进程调度的各个因素和调度处理流程,以及在SMP(Symmetric Multi Processing)的进程调度处理。展开更多
A hybrid decomposition method for molecular dynamics simulations was presented, using simul- taneously spatial decomposition and force decomposition to fit the architecture of a cluster of symmetric multi-processo...A hybrid decomposition method for molecular dynamics simulations was presented, using simul- taneously spatial decomposition and force decomposition to fit the architecture of a cluster of symmetric multi-processor (SMP) nodes. The method distributes particles between nodes based on the spatial decom- position strategy to reduce inter-node communication costs. The method also partitions particle pairs within each node using the force decomposition strategy to improve the load balance for each node. Simulation results for a nucleation process with 4 000 000 particles show that the hybrid method achieves better paral- lel performance than either spatial or force decomposition alone, especially when applied to a large scale particle system with non-uniform spatial density.展开更多
文摘在Linux系统中,进程作为实体自始至终运行在系统之中,进程使用系统的资源,而进程的调度更是影响系统的性能:进程响应时间尽可能快,后台进程的吞吐量尽可能高,进程"饿死"现象尽可能避免,低优先级和高优先级进程需要尽可能调和。本文从Linux 2.4.0内核角度分析影响进程调度的各个因素和调度处理流程,以及在SMP(Symmetric Multi Processing)的进程调度处理。
基金Supported by the "985" Basic Research Foundation of Tsinghua University of China (No. JC2001024)
文摘A hybrid decomposition method for molecular dynamics simulations was presented, using simul- taneously spatial decomposition and force decomposition to fit the architecture of a cluster of symmetric multi-processor (SMP) nodes. The method distributes particles between nodes based on the spatial decom- position strategy to reduce inter-node communication costs. The method also partitions particle pairs within each node using the force decomposition strategy to improve the load balance for each node. Simulation results for a nucleation process with 4 000 000 particles show that the hybrid method achieves better paral- lel performance than either spatial or force decomposition alone, especially when applied to a large scale particle system with non-uniform spatial density.
