This paper demonstrates the potential of graphics processing units in solving the incomplete markets model in parallel using the Krusell–Smith algorithm. We illustrate the power of this approach using the same exercise as in Den Haan et al. (J Econ Dyn Control 34:1–3, 2010). We document a speed gain which increases sharply with the number of agents. To reduce entry barriers, we explain our methodology and provide some example algorithms
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
This paper discusses issues related to GPU for economic problems. It highlights new methodologies an...
This paper discusses problems related to parallel computing applied in economics. It intr...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
International audienceThis paper is about using the existing Monte Carlo approach for pricing Europe...
We develop and analyze a parallel algorithm for computing a solution in a multiregion dynamic genera...
We develop and analyze a parallel algorithm for computing a solution in a multiregion dynamic genera...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel...
In this work we show how applications in computational economics can take advantage of modern parall...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
This article describes the approach to computing the version of the stochastic growth model with idi...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
This paper discusses issues related to GPU for economic problems. It highlights new methodologies an...
This paper discusses problems related to parallel computing applied in economics. It intr...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
International audienceThis paper is about using the existing Monte Carlo approach for pricing Europe...
We develop and analyze a parallel algorithm for computing a solution in a multiregion dynamic genera...
We develop and analyze a parallel algorithm for computing a solution in a multiregion dynamic genera...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel...
In this work we show how applications in computational economics can take advantage of modern parall...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
This article describes the approach to computing the version of the stochastic growth model with idi...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...