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

机译:用于实时萨达尔信号处理的基于便携式对象的并行库和分层框架

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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:我们开发了一个基于对象的分层框架和C相关的库,用于实时雷达应用程序。 对象类允许我们重用代码模块,并且分层框架增强了应用程序的可移植性。 该框架被分为机器依赖性内核层,数学库层和应用层。 通过高度优化内核层,以及在设置时间内对数据传输进行分配和准备,我们满足性能要求。 我们的初始应用程序采用时空自适应处理(STAP)算法,并且需要大约20 GFLOP / s(持续)的吞吐量,具有1秒的延迟。 我们为STAP算法的关键部分提出了绩效结果,并讨论了将来的工作。

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