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Enhanced SAR Imaging Algorithm Development for Streaming Processors

机译:流处理器的增强SAR成像算法开发

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In the past few years, parallel processing has been the driving force behind improving performance. Instead of faster clocked processors, new generations of Intel or AMD processors provide more parallelism. Likewise, graphics processors also rely on a network of multiple cores or parallelism to accelerate computations involved in rendering graphics. This research examines the application of general purpose processing on graphics processors. The development process and programming effort of translating a side lobe minimization imaging algorithm to a graphics processing units (GPU) are considered for analysis. The purpose is to acquire a sufficient amount of experience and data to determine the feasibility of deploying a graphics card-complemented system for tactical and high performance computations.
机译:在过去的几年中,并行处理一直是提高性能的推动力。代替更快的时钟处理器,新一代的Intel或AMD处理器提供了更多的并行性。同样,图形处理器还依赖于多核或并行性的网络来加速渲染图形所涉及的计算。这项研究检查了通用处理在图形处理器上的应用。考虑将旁瓣最小化成像算法转换为图形处理单元(GPU)的开发过程和编程工作,以进行分析。目的是获得足够的经验和数据,以确定部署用于战术和高性能计算的图形卡补全系统的可行性。

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