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 是一個多線程實現(xiàn)，它允許編譯器為任務和數(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)并行雖然已經獲得了廣泛的應用，但是，仍然有一些應用程序不適于數(shù)據(jù)并行語言的并行模式，如樹結構算法。
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，并將其作為一個整體數(shù)組在不同處理器上使用不同的索引來同時執(zhí)行指令。