在更小的面积和功率下具有更高吞吐量的同步弹性电路

Wasundhara D. Paliwal, P. Shastry
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引用次数: 0

摘要

为了减少同步弹性电路的面积和功耗,我们正在使用各种弹性方法的组合。弹性是指电路的特性,其中电路可以容忍其计算单元以及通信通道中的任意延迟/延迟变化。弹性对电路的具体实现不做任何假设。本文研究了在不牺牲控制网络性能的前提下减少弹性控制网络的面积和功率开销的不同优化方法。介绍了超简单fork (USFork)、早期评估join (EEJoin)、半缓冲重定时(HBR)控制器、eager fork、join、lazy fork组合的实现。在这种方法中,我们检查所有节点和所有组合块的时钟周期,并仅在需要时使用弹性缓冲。与已发表的Minimips处理器案例研究[3]和降低成本的同步弹性化[2]相比,我们的实现显示出8%和15.08%的面积和功耗,这是由于实现同步弹性化的提议流增加了17.5%的吞吐量,即0.94 Gbits/sec。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synchronous elastic circuit with higher throughput at reduced area and power
To reduced area and power in synchronous elastic circuits we are using combinations of various elasticity approaches. Elasticity refers to the property of a circuit in which circuits can tolerate arbitrary latency/delay variations in their computation units as well as communication channels. Elasticity does not make any assumption about the specific implementation of the circuit. This paper investigates different optimization approaches to reduce these area and power overheads of elastic control network without sacrificing the control network performance. Ultra simple fork (USFork), early evaluation join (EEJoin), half-buffer retiming (HBR) controller, eager Fork, join, lazy fork combinations for implementation are introduced. In this approach we check all node and all combinational blocks clock period and uses elastic buffer only when it needed. Comparing to published work on a Minimips processor case study[3] and Synchronous elasticization at reduced cost[2], our implementation shows up 8% and 15.08% area and power due to proposed flow of implementing synchronous elasticization with 17.5 % increase in throughput i.e. 0.94 Gbits/sec.
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