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。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
They have been intensively used in real application, such as parallel computation, signal processing, associative memory, and so on, which has become an attracting and focused topic.
它们被广泛用于平行计算、信号处理、联想记忆等领域，成为实际应用中的热门课题和很多理论研究者关注的焦点。
Parallel processing for generalized eigenvalue problem is one of the fundamental problem in computation science and engineering.
非对称矩阵广义特征值问题的并行计算是大规模工程计算中的基础问题之一。
Parallel processing for generalized eigenvalue problem is one of the fundamental problem in computation science and engineering.
非对称矩阵广义特征值问题的并行计算是大规模工程计算中的基础问题之一。
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