Being an important ramification of parallel processing, data parallel is widely used in scientific and technical computation.
作为并行处理的重要分枝，数据并行被广泛地应用于科学和工程计算中。
The optical system, with its massive interconnection and parallel processing capabilities, is particularly suitable for megalo-capacity data processing and computation.
光学系统由于其巨大的互连和内在的并行处理能力，特别适应于超大容量数据处理和计算。
Real time data processing is fulfilled as parallel computation and multithreading are adopted, and algorithms are optimized.
系统采用了并行计算机制和多线程机制，并对算法进行了优化，从而满足数据的实时处理要求。
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