Scalable high-dimensional dynamic stochastic economic modeling
We solve high-dimensional dynamic economic models on large-scale massively parallel architectures. We present a flexible and scalable method to compute global solutions of high-dimensional stochastic dynamic models. Within a time-iteration setup, we interpolate policy functions using an adaptive sparse grid algorithm.
adaptive sparse grids international real business cycles high-dimensional grids parallel algorithms high-performance computing heterogeneous systems