How Much Does Regularity Help FPGA Placement?
How Much Does Regularity Help FPGA Placement?
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规律性对 FPGA 布局有多大帮助？
DOI：
10.1109/icfpt51103.2020.00020
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Jiang Hu
中科院分区：
文献类型：
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作者：
Hongxin Kong;Lang Feng;Chunhua Deng;Bo Yuan;Jiang Hu
放置在决定FPGA电路特性方面起着关键作用。同时，较长的计算时间也是FPGA计算灵活性远不如软件编译具有竞争力的重要因素。有一种观察是，越来越需要有规律的设计。一个具体的例子是基于收缩阵列的神经网络电路设计。本文研究了利用设计规律的FPGA布局问题。对于具有收缩阵列的神经网络设计，我们提出的规则感知方法在电路性能损失有限的情况下，与多功能位置和路由（VPR）相比，可以实现2到28倍的速度。同时，它的解决方案质量与VPR几乎完全相关，从而使其在早期原型中发挥作用。
Placement plays a key role in determining FPGA circuit characteristics. Meanwhile, its long computation time is an important factor that makes the flexibility of FPGA computing much less competitive than software compiling. One observation is that there is an increasing need for designs with regularity. A particular example is systolic array-based neural network circuit design. In this work, FPGA placement exploiting design regularity is studied. For neural network designs with systolic arrays, our proposed regularity-aware approach achieves 2X to 28X speed up versus Versatile Place and Route (VPR) with limited circuit performance loss. At the same time, its solution quality is almost perfectly correlated with VPR and thus renders its role for early prototyping.
DOI：
10.1109/fccm.2018.00029
发表时间：
2018-04
期刊：
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
影响因子：
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作者：
Steve Dai;Yuan Zhou;Hang Zhang;Ecenur Ustun;Evangeline F. Y. Young;Zhiru Zhang
通讯作者：
Steve Dai;Yuan Zhou;Hang Zhang;Ecenur Ustun;Evangeline F. Y. Young;Zhiru Zhang