− SIMD architectures can exploit si

− SIMD architectures can exploit significant data level parallelism for a wide set of applications matrix-oriented scientific computing media-oriented image and sound processing − SIMD is more energy efficient than MIMD Only needs to fetch one instruction per data operation − SIMD allows programmer to continue to think sequentially Achieves parallel speedup by having parallel data operations

結果 (繁體中文) 1:

- SIMD架構可以利用顯著數據級並行用於廣泛的應用集合面向基質科學計算面向媒體的圖像和聲音處理
- SIMD是更多的能量效率比MIMD僅需要獲取每個數據操作的一個指令
- SIMD允許程序員繼續依次認為由具有並行數據操作實現並行加速

結果 (繁體中文) 2:

• SIMD 架構可以利用重要的資料級並行性，用於面向矩陣、面向科學計算媒體的圖像和聲音處理的廣泛應用
• SIMD 比 MIMD 更節能，只需按資料操作獲取一條指令
• SIMD 允許程式師通過並行資料操作繼續按順序思考實現並行加速

結果 (繁體中文) 3:

SIMD Architures can export significant data level parallelism for a wide set of applications matrix-oriented scientific computing media-oriented image and sound processing
Simd is more energy efficient than mimd only needs to fetch one instruction per data operation
Simd allows programmer to continue to think sequentially achieves parallel speedup by having parallel data operations