Abstract
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 by solving a simple real business cycle model with value function iteration. We document improvements in speed of around 200 times and suggest that even further gains are likely.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 386-393 |
| Number of pages | 8 |
| Journal | Journal of Economic Dynamics and Control |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2011 |
All Science Journal Classification (ASJC) codes
- Economics and Econometrics
- Control and Optimization
- Applied Mathematics
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