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Enhanced SAR Imaging Algorithm Development for Streaming Processors

机译:增强SAR成像算法开发流式处理器

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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:在过去的几年里,并行加工一直是提高性能的推动力。代替更快的时钟处理器,新一代英特尔或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个核或并行性的网络,以加速渲染图形所涉及的计算。本研究探讨了通用处理对图形处理器的应用。将侧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被认为是分析。目的是获得足够量的经验和数据,以确定部署图形卡补充系统以进行战术和高性能计算的可行性。

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