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An Efficient Performance Improvement Method Utilizing Specialized Functional Units in Behavioral Synthesis

机译:一种利用特殊功能单位在行为合成中的有效性能改进方法

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This paper proposes a novel Behavioral Synthesis method that improves performance of synthesized circuits utilizing specialized functional units effectively. Specialized functional units (e.g. Multiply-Accumulator) are designed for specific operation patterns to achieve shorter delay and/or smaller area than cascaded basic functional units. Almost all conventional methods cannot use specialized functional units effectively under a total area constraint because of their less flexibility for resource sharing. The proposed method makes it possible to solve module selection, scheduling, and functional unit allocation problems utilizing specialized functional units in practical time with some heuristics, and to reduce the number of clock cycles under total area and clock cycle time constraints. Experimental results show that the proposed method has achieved up to 35% and on average 14% reduction of the number of cycles with specialized functional units in practical time.
机译:本文提出了一种新的行为合成方法,可有效利用专用功能单位来提高合成电路的性能。专用功能单元(例如乘法累加器)设计用于特定操作模式,以实现比级联的基本功能单元更短的延迟和/或更小的区域。几乎所有常规方法都不能在总区约束下有效地使用专用功能单元,因为它们对资源共享的灵活性较小。所提出的方法使得可以在具有一些启发式的实际时间内使用专用功能单元来解决模块选择,调度和功能单元分配问题,并减少总面积和时钟周期时间约束下的时钟周期数。实验结果表明,该方法在实际情况下实现了高达35%,平均降低了专用功能单位的循环数量的14%。

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