Add to ORKGThis paper discusses problems related to parallel computing applied in economics. It introduces the paradigms of parallel computing and emphasizes the new trends in this field - a combination between GPU computing, multicore computing and distributed computing. It also gives examples of problems arising from economics where these parallel methods can be used to speed up the computation
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
This paper discusses problems related to parallel computing applied in economics. It intr...
This paper discusses issues related to GPU for economic problems. It highlights new methodologies an...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
In the 1990s the Beowulf project smoothed to way for massively paral-lel computing as access to para...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
In this work we show how applications in computational economics can take advantage of modern parall...
We assess gains from parallel computation on Backlight supercomputer. The information transfers are ...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
Many econometric problems can benefit from the application of parallel computing techniques, and rec...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
This paper discusses problems related to parallel computing applied in economics. It intr...
This paper discusses issues related to GPU for economic problems. It highlights new methodologies an...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
In the 1990s the Beowulf project smoothed to way for massively paral-lel computing as access to para...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
In this work we show how applications in computational economics can take advantage of modern parall...
We assess gains from parallel computation on Backlight supercomputer. The information transfers are ...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
Many econometric problems can benefit from the application of parallel computing techniques, and rec...
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its ...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
Parallel programming allows the speed of computations to be increased by using multiple processors o...