论文标题
一种并行的方法，用于加速直接相互作用研究
A parallel-in-time approach for accelerating direct-adjoint studies
论文作者
论文摘要
开发并行的时间方法来加速直接接合环路循环程序。特别是，我们利用了以前开发的Paraexp算法，该算法是为了在时间上向前集成方程，以加速由基于梯度的优化引起的直接聚合循环。我们考虑线性和非线性管理方程，并利用伴随方程的线性，时变的性质。在所有情况下都可以看到效率的提高，这表明基于ParaExp的平行方法对于直接接合研究的加速是可行的。这表示可能进一步提高无法在空间中并行或在其效率上获得的优化研究的运行时性能的方法可能。
Parallel-in-time methods are developed to accelerate the direct-adjoint looping procedure. Particularly, we utilize the Paraexp algorithm, previously developed to integrate equations forward in time, to accelerate the direct-adjoint looping that arises from gradient-based optimization. We consider both linear and non-linear governing equations and exploit the linear, time-varying nature of the adjoint equations. Gains in efficiency are seen across all cases, showing that a Paraexp based parallel-in-time approach is feasible for the acceleration of direct-adjoint studies. This signifies a possible approach to further increase the run-time performance for optimization studies that either cannot be parallelized in space or are at their limit of efficiency gains for a parallel-in-space approach.
