无线互联科技
無線互聯科技
무선호련과기
WUXIAN HULIAN KEJI
2015年
6期
56-56,59
,共2页
图形处理器%CUDA%并行处理
圖形處理器%CUDA%併行處理
도형처리기%CUDA%병행처리
Graphic Process Unit%CUDA%Parallel processing
近年来，图形处理器(Graphic Process Unit,GPU)的快速发展使得其逐步用于通用计算。在性能各异的并行计算平台中，英伟达(NVIDIA)公司推出的计算统一设备架构(Compute Unified Device Architecture,CUDA)因为充分利用GPU (Graphic Processing Unit)强大的计算能力实现了通用并行计算而受到研究者们的青睐。
近年來，圖形處理器(Graphic Process Unit,GPU)的快速髮展使得其逐步用于通用計算。在性能各異的併行計算平檯中，英偉達(NVIDIA)公司推齣的計算統一設備架構(Compute Unified Device Architecture,CUDA)因為充分利用GPU (Graphic Processing Unit)彊大的計算能力實現瞭通用併行計算而受到研究者們的青睞。
근년래，도형처리기(Graphic Process Unit,GPU)적쾌속발전사득기축보용우통용계산。재성능각이적병행계산평태중，영위체(NVIDIA)공사추출적계산통일설비가구(Compute Unified Device Architecture,CUDA)인위충분이용GPU (Graphic Processing Unit)강대적계산능력실현료통용병행계산이수도연구자문적청래。
In recent years, the rapid development of graphics processor unit(GPU) makes it progressively used for general-purpose computing. There are various platforms for parallel computing, for example, compute uniifed device architecture (CUDA) designed by NVIDIA is widely due to the strong computing power of GPU (graphic processing unit) for realizing general parallel computing.
