摘要
采用MIMD(多数据流多指令流)分布式异步并行迭代软计算法,分析了大型稀疏方程Au=B的M×M阶系数矩阵A=(a_(ij))的性态数值计算任务ψ:u=Du+R迭代格式收敛的相互关系,在分布式并行方式下,对数值计算任务ψ:M=Du+R的各子任务t_i∈T,引入了时间步τ_i∈τ和多处理机pi∈P,实现了异步进程迭代运算,并当稀疏迭代矩阵D满足不可约弱对角占优阵的条件时,构造了分布式MIMD下数值解迭代矩阵软计算的异步并行迭代格式u_i((n_i+ 1)r_i)=d_(il)u_i(t)+d_(i2u2)(t)+Λ+d_(in)u_n(t)+r_i(i=1,2,Λ,n),给出了该迭代格式的收敛证明及类Jacobi法稀疏矩阵分块有关异步并行收敛的一个有效推论。
on the basis of soft computing with asynchronous and distributed parallel and iterative method for the MIMD ( Multi - Instruction and Multi - Data) compuer, analyze a correlation that property of matrix A = ( aij ) of M ×M -level of large-scale and sparse equations as Au = B and that convergence on iterative format about the task of nu- meric arithmetic ψ: u = Du + R. On parallel, for the sub-task ti ∈ T of the task of numeric arithmetic ψ: u = Du + R, this introduce time-step Ti ∈T and multi-processor pi∈ P in order to realize iterative account by asynchronous process, and make that an asynchronous parallel and herative format ui ( ( ni + 1 )Ti) dijoi (t) + di2u2 (t) + Λ + dinun (t) ri (i=1,2 ,Λ, n)while sparse and iterative matrix D with irreducible and ascendent diagonally, and prove this format is convergent, show a effective conclusion by asynchronous parallel about a distributing to sparse matrix that resemble Jacobi iterative method at end.
出处
《河北理工学院学报》
2007年第2期66-70,共5页
Journal of Hebei Institute of Technology
关键词
稀疏
异步并行
多数据流多指令流
sparseness
asynchronous parallel
distributed
MIMD