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Peephole optimization of asynchronous macromodule networks

机译:异步宏模块网络的窥孔优化

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Most high-level synthesis tools for asynchronous circuits takendescriptions in concurrent hardware description languages and generatennetworks of macromodules or handshake components. In this paper, wenpropose a peephole optimizer for these networks. Our peephole optimizernfirst deduces an equivalent blackbox behavior for the network usingnDill's trace-theoretic parallel composition operator. It then applies annew procedure called burst-mode reduction to obtain burst-mode machinesnfrom the deduced behavior. In a significant number of examples, ournoptimizer achieves gate-count improvements by a factor of five, andnspeed (cycle-time) improvements by a factor of two. Burst-mode reductionncan be applied to any macromodule network that is delay insensitive asnwell as deterministic. A significant number of asynchronous circuits,nespecially those generated by asynchronous high-level synthesis tools,nfall into this class, thus making our procedure widely applicable
机译:用于异步电路的大多数高级综合工具采用并发硬件描述语言进行描述,并生成宏模块或握手组件的网络。在本文中,针对这些网络提出了一个窥孔优化器。我们的窥孔优化程序首先使用nDill的跟踪理论并行合成算子推导了网络的等效黑盒行为。然后,它应用称为突发模式减少的新过程,以从推导的行为中获得突发模式机器。在很多示例中,我们的优化器的闸门数量提高了5倍,nspeed(循环时间)提高了2倍。突发模式减少可以应用于对延迟不敏感的任何宏模块网络。大量的异步电路,尤其是由异步高级综合工具生成的异步电路,都属于此类,因此使我们的程序广泛适用

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