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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 take descriptions in concurrent hardware description languages and generate networks of macromodules or handshake components. In this paper, we propose a peephole optimizer for these networks. Our peephole optimizer first deduces an equivalent blackbox behavior for the network using Dill's trace-theoretic parallel composition operator. It then applies a new procedure called burst-mode reduction to obtain burst-mode machines from the deduced behavior. In a significant number of examples, our optimizer achieves gate-count improvements by a factor of five, and speed (cycle-time) improvements by a factor of two. Burst-mode reduction can be applied to any macromodule network that is delay insensitive as well as deterministic. A significant number of asynchronous circuits, especially those generated by asynchronous high-level synthesis tools, fall into this class, thus making our procedure widely applicable.
机译:大多数用于异步电路的高级综合工具采用并发的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,我们为这些网络提出了一个窥孔优化器。我们的窥孔优化器首先使用Dill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取突发模式机器。在大量示例中,我们的优化器将门数提高了五倍,速度(周期时间)提高了两倍。突发模式降低可以应用于对延迟不敏感以及确定性的任何宏模块网络。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,属于此类,因此使我们的过程广泛适用。

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