In the paper we present the parallel implementation of the alpha-beta algorithm running on the graphics processing unit (GPU). We compare the speed of the parallel player with the standard serial one using the game of reversi with boards of different sizes. We show that for small boards the level of available parallelism is insufficient for efficient GPU utilization, but for larger boards substantial speed-ups can be achieved on the GPU. The results indicate that the GPU-based alpha-beta implementation would be advantageous for similar games of higher computational complexity (e.g. hex and go) in their standard form
General purpose graphical processing units were proven to be useful for accelerating computationally...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
In this research, we have implemented a parallel EP on consumer-level graphics processing units and ...
In the paper we present the parallel implementation of the alpha-beta algorithm running on the graph...
Abstract: Game tree search is a classical problem in the field of game theory and artificial intelli...
Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer tha...
Graphics Processing Units (GPUs) are a fast evolving architecture. Over the last decade their progra...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Video cards have now outgrown their purpose of being only a simple tool for graphic display. With th...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
The computing power of current Graphical Processing Units (GPUs) has increased rapidly over the year...
General purpose graphical processing units were proven to be useful for accelerating computationally...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
In this research, we have implemented a parallel EP on consumer-level graphics processing units and ...
In the paper we present the parallel implementation of the alpha-beta algorithm running on the graph...
Abstract: Game tree search is a classical problem in the field of game theory and artificial intelli...
Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer tha...
Graphics Processing Units (GPUs) are a fast evolving architecture. Over the last decade their progra...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
The article presents a comparative analysis of the implementation of parallel algorithms on the cent...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
Video cards have now outgrown their purpose of being only a simple tool for graphic display. With th...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
The computing power of current Graphical Processing Units (GPUs) has increased rapidly over the year...
General purpose graphical processing units were proven to be useful for accelerating computationally...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
In this research, we have implemented a parallel EP on consumer-level graphics processing units and ...