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A Direct Solver for Time Parallelization

机译:时间并行化的直接求解器

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摘要

Using the time direction in evolution problems for parallelization is an active field of research. Most of these methods are iterative, see for example the parareal algorithm analyzed in, a variant that became known under the name PFASST, and waveform relaxation methods based on domain decomposition, see also for a method called RIDC. Direct time parallel solvers are much more rare, see for example. We present here a mathematical analysis of a different direct time parallel solver, proposed in. We consider as our model partial differential equation (PDE) the heat equation on a rectangular domain Ω, ?u/?t-Δu=f in Ω×(0,T), u = g on ?Ω, and u(-,0) = u_0 in Ω. (1) Using a Backward Euler discretization on the time mesh 0 = t_0 < t_1 < t_2 < ... < t_N = T, k_n = t_n - t_(n-1), and a finite difference approximation Δ_h of Δ over a rectangular grid of size J = J_1J_2, we obtain the discrete problem 1/k_n(u~n)-u~(n-1)-Δ_hu~n=f~n. (2) Let I_t be the N × N identity matrix associated with the time domain and I_x be the J × J identity matrix associated with the spatial domain. Setting u := (u~1,..., u~N), f := (f~1 + 1/k_1u_0, f~2,...,f~N) and using the Kronecker symbol, (2) becomes (B directX I_x-I_t directX Δ_h)u =f, B:=(1/k_1-1/k_2 0 ...-1/k_N 1/k_2...1/k_N 0)(3).
机译:在进化过程中的问题使用时间方向并行是一个活跃的研究领域。这些方法大多是重复的,例如参见parareal算法,即成为下名PFASST已知的变异进行分析,并根据区域分解波形松弛方法,也见一个叫RIDC方法。直接并行时间求解是更罕见,例如见。我们在这里提出一个不同的直接时间并行求解器,在我们考虑作为我们的模型偏微分方程(PDE)上的矩形域热方程提出的数学分析Ω,?U /?叔量Δu= F在Ω×( 0,T)中,u = G上Ω,和u( - ?,0)= U_0在Ω。 (1)通过时的向后欧拉离散啮合0 = T_0

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