CUDA | 統一計算架構
統一計算架構是什麼？
CUDA為統一計算架構(Compute Unified Device Architecture)的縮寫，由 NVIDIA 於 2006 年推出，並指出:
1. CUDA 架構:為具有數百至數千個核心NVIDIA GPU的大規模平行架構
2. CUDA 軟體平臺和程式設計模型:也是由 NVIDIA 創建的 API(應用程式介面)，由開發人員 進行 GPU 程式設計，以廣為運用。
1. CUDA 架構:為具有數百至數千個核心NVIDIA GPU的大規模平行架構
2. CUDA 軟體平臺和程式設計模型:也是由 NVIDIA 創建的 API(應用程式介面)，由開發人員 進行 GPU 程式設計，以廣為運用。
你為什麼需要它？
CUDA 透過GPU強大的功能，使開發人員能夠對於平行運算，加快計算密集型應用的速度。
過往的GPU程式設計介面(如Direct3D和OpenGL)需要更進階的圖像程式設計才能達成任務，CUDA 相容許多程式設計語言，如C.C++或Fortran，使開發人員和軟體工程師更易於執行平行運算程式，只需以幾個基本關鍵字，就能夠直接存取 GPU 的虛擬指令集和平行運算元素，並執行運算。
技嘉的特色
GIGABYTE R系列和 G系列伺服器，運用CUDA可優化NVIDIA GPGPU(圖形處理元件)，如特斯拉V100，特斯拉T4或RTX Quadro系列等硬體解決方案。
這對開發人員來說是個強大的工具，使他們能夠進行大量平行運算處理，如科學模擬或深度學習(DNN)訓練等。
這對開發人員來說是個強大的工具，使他們能夠進行大量平行運算處理，如科學模擬或深度學習(DNN)訓練等。
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