自动机到路由:空间自动机处理体系结构设计空间探索的开源工具链

J. Wadden, S. Khan, K. Skadron
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引用次数: 11

摘要

加速有限自动机处理的新可用空间架构刺激了基于自动机的新应用的研究和发展。然而,由于缺乏自动机优化和定位路径工具,空间自动机处理体系结构的研究还很缺乏。为了解决这个问题,我们提出了一种新的开源工具链——自动到路由(ATR),它可以实现空间自动机架构的设计空间探索。ATR利用现有的开源工具进行自动机处理和FPGA架构研究。为了证明这个新工具链的实用性,我们用它来分析空间自动机处理体系结构的设计选择。我们首先展示了ATR能够对商业上可用的空间自动机处理架构的逻辑块进行建模。然后,我们使用ATR在一组不同的自动机基准上比较和对比两种不同的路由体系结构方法-分层和2d网格。我们表明,较浅的2d网格风格路由结构可以路由具有相同通道宽度的复杂自动机,同时使用最多4.2倍的逻辑块资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automata-to-Routing: An Open-Source Toolchain for Design-Space Exploration of Spatial Automata Processing Architectures
Newly-available spatial architectures to accelerate finite-automata processing have spurred research and development on novel automata-based applications. However, spatial automata processing architecture research is lacking, because of a lack of automata optimization and place-and-route tools. To solve this issue, we propose a new, open-source toolchain–Automata-to-Routing (ATR)–that enables design-space exploration of spatial automata architectures. ATR leverages existing open-source tools for both automata processing and FPGA architecture research. To demonstrate the usefulness of this new toolchain, we use it to analyze design choices of spatial automata processing architectures. We first show that ATR is capable of modeling the logic tiles of a commercially-available spatial automata processing architecture. We then use ATR to compare and contrast two different routing architecture methodologies–hierarchical and 2D-mesh–over a set of diverse automata benchmarks. We show that shallower 2D-mesh-style routing fabrics can route complex automata with equal channel width, while using up to 4.2x fewer logic tile resources.
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