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A Portable, Object-Based Parallel Library and Layered Framework for Real-Time Sadar Signal Processing

机译:用于实时Sadar信号处理的可移植,基于对象的并行库和分层框架

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摘要

We have developed an object-based, layered framework and associated library in C for real-time radar applications. Object classes allow us to reuse code modules, and a layered framework enhances the portability of applications. The framework is divided into a machine-dependent kernel layer, a mathematical library layer, and an application layer. We meet performance requirements by highly optimizing the kernel layer, and by performing allocations and preparations for data transfers during a set-up time. Our initial application employs a space-time adaptive processing (STAP) algorithm and requires throughput on the order of 20 Gflop/s (sustained), with 1 s latency. We present performance results for a key portion of the STAP algorithm and discuss future work.
机译:我们已经为实时雷达应用开发了一个基于对象的分层框架和相关的C语言库。对象类允许我们重用代码模块,并且分层的框架增强了应用程序的可移植性。该框架分为与机器相关的内核层,数学库层和应用程序层。我们通过高度优化内核层,以及在设置时间内执行数据传输的分配和准备工作来满足性能要求。我们的初始应用程序采用了时空自适应处理(STAP)算法,并要求吞吐量为20 Gflop / s(持续),延迟为1 s。我们将介绍STAP算法关键部分的性能结果,并讨论未来的工作。

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