Megrez: Parallelizing FPGA Routing with Strictly-Ordered Partitioning

Minghua Shen, Guojie Luo
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Abstract

FPGAs play a crucial role in the space of customizable accelerators over the next few years. A chief limiting factor is that FPGA CAD tools are cumbersome and time-consuming to most application developers. Routing is the most complex step in FPGA design flow and NP-complete problem. The PathFinder routing algorithm is in dominant use in FPGA CAD research. However, PathFinder is sequential in nature and lengthy in runtime. Parallelization has the potential to solve the issue but faces non-trivial challenges. In this work we introduce Megrez that uses strictly-ordered partitioning to explore the parallelism on GPU. Experimental results show that Megrez achieves an average of 15.13× speedup on GPU with negligible influence on the routing quality.
Megrez:严格有序分区并行化FPGA路由
未来几年,fpga将在可定制加速器领域扮演至关重要的角色。一个主要的限制因素是FPGA CAD工具对大多数应用程序开发人员来说是繁琐和耗时的。路由是FPGA设计流程中最复杂的一步,也是np完全问题。PathFinder路由算法在FPGA CAD研究中占主导地位。然而,PathFinder本质上是顺序的,运行时间很长。并行化有可能解决这个问题,但也面临着不小的挑战。在这项工作中,我们介绍了使用严格排序分区的Megrez来探索GPU上的并行性。实验结果表明,Megrez在GPU上实现了平均15.13倍的加速,对路由质量的影响可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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