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A GPU cluster is a computer cluster in which each node is equipped with a Graphics Processing Unit (GPU). By harnessing the computational power of modern GPUs via General-Purpose Computing on Graphics Processing Units (GPGPU), very fast calculations can be performed with a GPU cluster. == Hardware (GPU) == The hardware classification of GPU clusters fall into two categories: Heterogeneous and Homogeneous. Heterogeneous Hardware from both of the major IHV's can be used (AMD and nVidia). Even if different models of the same GPU are used (e.g. 8800GT mixed with 8800GTX) the gpu cluster is considered heterogeneous. Homogeneous Every single GPU is of the same hardware class, make, and model. (i.e. a homogeneous cluster comprising 100 8800GTs, all with the same amount of VRAM) Classifying a GPU cluster according to the above semantics largely directs software development on the cluster, as different GPUs have different capabilities that can be utilized. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「GPU cluster」の詳細全文を読む スポンサード リンク
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