This paper shows how to build algorithms that use graphics processing units (GPUs) installed in most modern computers to solve dynamic equilibrium models in economics. In particular, we rely on the compute unified device architecture (CUDA) of NVIDIA GPUs. We illustrate the power of the approach...

This guide provides a practical introduction to parallel computing in economics. After a brief introduction to the basic ideas of parallelization, we show how to parallelize a prototypical application in economics using, on CPUs, Julia, Matlab, R, Python, C++-OpenMP, Rcpp-OpenMP, and C++-MPI,...

The changes in technology that took place in the US during the last three decades, mainly due to the introduction of computerization and automation, have been characterized as "routine-substituting." They have reduced the demand for routine tasks, but have increased the demand for analytical...