data parallelism

基本解釋

OpenMP is a multi-threading implementation that allows the compiler to generate code for task and data parallelism.
OpenMP 是一個(gè)多線程實(shí)現(xiàn)，它允許編譯器為任務(wù)和數(shù)據(jù)并行生成代碼。
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.
數(shù)據(jù)并行雖然已經(jīng)獲得了廣泛的應(yīng)用，但是，仍然有一些應(yīng)用程序不適于數(shù)據(jù)并行語(yǔ)言的并行模式，如樹(shù)結(jié)構(gòu)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.
它可以有效地利用數(shù)據(jù)的并行，并將其作為一個(gè)整體數(shù)組在不同處理器上使用不同的索引來(lái)同時(shí)執(zhí)行指令。