CGRAs提供了有效和方便的解决方法来加速数据密集型应用(Data Intensive Applications, DIA)，如图像压缩、模式识别和数字信号处理。
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data-intensive application program 数据密集型应用程序
Moonlight was designed with data and memory intensive web application processes in mind.
Moonlight在设计时已经考虑到对于数据和存储密集型Web应用程序的处理。
The reason for creating a data source or database pool is that it increases application performance, because opening even a single connection is a CPU-intensive operation.
创建数据源或数据库池的原因是它能够提高应用程序性能，因为即使打开一个连接也会十分占用CPU。
On the contrast, in the data-intensive financial industry, the application of AI technologies to extract value of data is still in a relatively primitive stage.
但是在金融这样一个数据密集的多金行业，数据的应用还停留在比较原始的阶段。
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