Implementation of systolic algorithms using pipelined functional units

M. Valero-García, J. Navarro, J. Llabería, M. Valero
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引用次数: 3

Abstract

The authors present a method to implement systolic algorithms (SAs) using pipelined functional units (PFUs). This kind of unit makes it possible to improve the throughput of a processor because of the possibility of initiating a new operation before the previous one has been completed. The method permits transformation of a SA so that it can be efficiently executed using PFUs. The method is based on two temporal transformations (slowdown and retiming) and one spatial transformation (coalescing). The temporal transformations permit the modification of the SA in such a way that dependences established by the PFU are preserved. The spatial transformation improves the hardware utilization. The method was applied to 1-D SAs with data contraflow. To demonstrate the effectiveness of the method, the authors describe an efficient implementation of a non-time-homogeneous SA with data contraflow for QR decomposition.<>
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使用流水线功能单元实现收缩算法
作者提出了一种使用流水线功能单元(pfu)实现收缩算法(SAs)的方法。这种单元可以提高处理机的吞吐量,因为它可以在前一个操作完成之前启动一个新的操作。该方法允许对SA进行转换,以便使用pfu有效地执行SA。该方法基于两个时间变换(减速和重定时)和一个空间变换(合并)。时间转换允许以这样一种方式修改SA,即保留由PFU建立的依赖性。空间转换提高了硬件利用率。该方法应用于具有数据对流的一维sa。为了证明该方法的有效性,作者描述了一种用于QR分解的具有数据流的非时间齐次SA的有效实现
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