数据密集型计算（Data Intensive Computing）是采用数据并行方法实现大数量并行计算的应用，计算数据量级为TB或PB级，因此也被成为是大数据的核心支撑技术[1]。
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数据密集型的超级计算 Data Intensive Super Computing
数据库应用系统是数据密集型计算机应用，它的核心是数据库的设计。
Database application system is a computer application of type of dense data, whose kernel is the design of database.
网格的目标是实现异构资源共享，及用来解决大规模计算或数据密集型计算等问题。
The goal of Grid is for realizing different kinds of resource-sharing and for solving calculating on a large scale or such problems as the data are calculate intensively.
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。
Abstract CUDA is a parallel computing architecture introduced by NVIDIA, it mainly used for large scale data-intensive computing.
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