...按应用的计算特征，可将并行计算分为以下类型： 1）数据密集型并行计算（Data-Intensive Parallel Computing），即数据量极大、但计算相对简单的并行计算。
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Abstract CUDA is a parallel computing architecture introduced by NVIDIA, it mainly used for large scale data-intensive computing.
摘要CUDA是一种由NVIDIA推出的并行计算架构，非常适合大规模数据密集型计算。
Compared with CPU, GPU was designed for compute-intensive, highly parallel computing, which enabled more transistors to be used for data processing, rather than data caching or flow control.
与CPU相比，GPU专为高度并行化和密集型的计算而设计，它能使更多的晶体管用于数据处理，而非数据缓存或流控制。
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