摘要
在多系统异构局域网中,由于不同操作环境的消息传递接口(MPI)程序缺乏互操作性,使得并行时域有限差分运算(FDTD)难以充分利用局域网内的计算资源。对此,提出利用应用层服务消息块(SMB)协议实现异构FDTD计算,并通过内存文件存取、内存映射数组以及引入冗余计算等方法来缓解与克服SMB通信延迟对并行性能的影响。数值模拟实例验证了新方法的可行性与正确性,所得加速比、并行效率等性能指标参数与常规同构MPI消息传递方法基本相当。
In a multi-system heterogeneous LAN, the lack of interoperability for the MPI program in the different operating environments makes it difficult to make full use of the LAN computing resources in the parallel Finite Difference Time Domain（FDTD） algorithm. To resolve this problem, a new method of using Serverce Message Block（SMB） protocol to realize heterogeneous FDTD computing was presented, and by some means such as memory-file access, memory-mapped array and redundancy computing, the impact of SMB communication latency upon the parallel performance Was released. Some computed examples were given to prove the feasibility and accuracy of this method. The numerical results show that performance indexes, such as speedup, parallel efficiency, etc. are close to the isomorphism FDTD computing using MPI.
出处
《计算机应用》
CSCD
北大核心
2008年第2期279-282,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60571020)
关键词
异构并行计算
内存文件存取
内存映射数组
冗余计算
并行性能
heterogeneous parallel computing
memory-file access
memory-mapped array
redundancy computing
parallel performance
