This paper discusses issues related to GPU for economic problems. It highlights new methodologies and resources that are available for solving and estimating economic models and emphasizes situations when they are useful and others where they are impractical. Two examples illustrate the different ways these GPU parallel methods can be employed to speed computation. © 2014 Elsevier B.V
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
An effective technology for parallel computing is the application of graphical processing units (GPU...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
This paper discusses problems related to parallel computing applied in economics. It intr...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
Abstract—In the last decade, Graphics Processing Units (GPUs) have gained an increasing popularity a...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
As the processing power available in computers grows, so do the applications for using that power fo...
Graphics Processor Units (GPUs) have emerged as powerful parallel processors in recent years. Althou...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
An effective technology for parallel computing is the application of graphical processing units (GPU...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
This paper discusses problems related to parallel computing applied in economics. It intr...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
The rapid growth in the performance of graphics hardware, coupled with recent improvements in its pr...
Abstract—In the last decade, Graphics Processing Units (GPUs) have gained an increasing popularity a...
International audienceThis article presents a GPU adaptation of a specific Monte Carlo and classific...
As the processing power available in computers grows, so do the applications for using that power fo...
Graphics Processor Units (GPUs) have emerged as powerful parallel processors in recent years. Althou...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
This paper shows two examples of how the analysis of option pricing problems can lead to computation...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
An effective technology for parallel computing is the application of graphical processing units (GPU...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
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