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Array processor supercomputers

机译：阵列处理器超级计算机

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The authors describe the range of hardware variations of array processors, a form of SIMD (simple instruction stream, multiple dates stream architecture), comparing and contrasting the significant differences among them and briefly illustrating the wide range of algorithms that can effectively utilize them. Three applications are reviewed. The first application, image convolution, represents the traditional numerically computationally intensive areas of application. SIMD array processors are sufficiently powerful to process digital imagery in real time easily. The second application, an example of real-time database management, is the air traffic control problem. The problem cannot be solved today by networks of computers that are successfully used in similar, less time-critical applications. With an array processor there is sufficient real time remaining after the present system tasks are accomplished to realize additional system enhancements. The third application area, graph algorithms, which is more theoretical, is representative of problems for which the simplicity of the array processor solution results in an execution time better than the best theoretical case for a conventional sequential implementation.
机译：作者描述了阵列处理器的硬件变化范围，一种SIMD（简单指令流，多日期流体系结构）形式，比较并对比了它们之间的显着差异，并简要说明了可以有效利用它们的各种算法。审查了三个申请。图像卷积是第一个应用程序，它代表了传统的数字计算密集型应用程序领域。 SIMD阵列处理器功能强大，足以轻松实时地处理数字图像。第二个应用程序是实时数据库管理的一个示例，它是空中交通管制问题。今天，成功地用于类似，时间紧迫性较低的应用程序的计算机网络无法解决该问题。利用阵列处理器，在完成本系统任务之后，剩余足够的实时时间以实现附加的系统增强。第三个应用领域是图形算法，它是理论上更强的代表问题，对于这些问题，阵列处理器解决方案的简单性导致其执行时间比常规顺序实现的最佳理论情况要好。

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