ROUTABILITY-DRIVEN PACKING: METRICS AND ALGORITHMS FOR CLUSTER-BASED FPGAs

Author:

BOZORGZADEH E.1,MEMIK S. OGRENCI2,YANG X.3,SARRAFZADEH M.4

Affiliation:

1. Computer Science Department, University of California, Irvine, CA 92697-3425, USA

2. Department of Electrical and Computer Engineering, Northwestern University, Evasnton, IL 60201, USA

3. Synplicity Inc., 600 W California Ave, Sunnyvale, CA 94086, USA

4. Computer Science Department, University of California, Los Angeles (UCLA), 3531C Boelter Hall, Los Angeles, CA 90095, USA

Abstract

Most of the FPGA's area and delay are due to routing. Considering routability at earlier steps of the CAD flow would both yield better quality and faster design process. In this paper, we discuss the metrics that affect routability in packing logic into clusters. We are presenting a routability-driven clustering method for cluster-based FPGAs. Our method packs LUTs into logic clusters while incorporating routability metrics into a cost function. Based on our routability model, the routability in timing-driven packing algorithm is analyzed. We integrate our routability model into a timing-driven packing algorithm. Our method yields up to 50% improvement in terms of the minimum number of routing tracks compared to VPack (16.5% on average). The average routing area improvement is 27% over VPack and 12% over t-VPack.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Breaking Boundaries: Optimizing FPGA CAD with Flexible and Multi-threaded Re-Clustering;Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies;2023-06-14

2. Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs;ACM Transactions on Reconfigurable Technology and Systems;2019-09-25

3. Multi‐objective optimisation algorithm for routability and timing driven circuit clustering on FPGAs;IET Computers & Digital Techniques;2019-02-19

4. GPlace3.0;ACM Transactions on Design Automation of Electronic Systems;2018-10-18

5. How Preserving Circuit Design Hierarchy During FPGA Packing Leads to Better Performance;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2018-03

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