Operation Synchronization Technique on Pipeline-Based Hardware Synthesis Applying Stream-Based Computing Framework

S. Yamagiwa, Ryoyu Watanabe, K. Wada
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Abstract

Increasing the needs for real-time processing of information flood from environment surrounded us acquired by the advanced sensing technologies, any application acquiring such information requires a processing ability for large input dataflow that must be processed within a restricted short time. In order to achieve the required processing performance, we often consider pipeline-based hardware implementation. The timing for activating operators for input data in the design must be scheduled carefully arranging the timings for I/O among operators. However, when we need to revise the algorithm itself or any parameters, it is very hard to reschedule the activation timings of operators considering the design goals regarding the maximum frequency and the resource size. This paper shows a technique to schedule operation timings synchronizing the input data in a processing pipeline of hardware applying the stream-based computing framework using OpenCL kernel description. This paper especially proposes a new compiler-based approach for synthesizing the pipeline-based hardware applying a novel technique for calculating the timings at the operators' activation called the Pipeline Timing Adjustment (PTA). This paper mainly discusses the algorithm of the PTA and show the effect of the algorithm.
基于流计算框架的基于流水线的硬件综合操作同步技术
随着先进的传感技术对周围环境信息洪流的实时处理需求的增加,任何应用获取这些信息都需要对大量输入数据流的处理能力,这些数据流必须在有限的短时间内处理完毕。为了达到所需的处理性能,我们经常考虑基于流水线的硬件实现。在设计中,激活操作符输入数据的时间必须仔细安排,安排操作符之间的I/O时间。然而,当我们需要修改算法本身或任何参数时,考虑到最大频率和资源大小的设计目标,很难重新安排操作员的激活时间。本文介绍了一种基于OpenCL内核描述的流计算框架在硬件处理管道中调度操作时间、同步输入数据的技术。本文特别提出了一种新的基于编译器的方法来综合基于管道的硬件,该方法采用了一种新的技术来计算操作人员激活时的时序,称为管道时序调整(PTA)。本文主要讨论了PTA的算法,并展示了该算法的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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