data parallelism

基本解释

OpenMP is a multi-threading implementation that allows the compiler to generate code for task and data parallelism.
OpenMP 是一个多线程实现，它允许编译器为任务和数据并行生成代码。
Data parallelism has been used in a wide field, but many applications can't be whtten in the way of data parallelism, for example, data structure algorithm.
数据并行虽然已经获得了广泛的应用，但是，仍然有一些应用程序不适于数据并行语言的并行模式，如树结构算法。
It makes effective use of data parallelism and can act on entire arrays at once by executing instructions on different indexes of an array in different processors.
它可以有效地利用数据的并行，并将其作为一个整体数组在不同处理器上使用不同的索引来同时执行指令。