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Fast Power Density Aware 3D-IC Floorplanning for Hard Macro-Blocks Using Best Operator Combination Genetic Algorithm
  • Naorem Yaipharenba Meitei,
  • Krishna Baishnab,
  • Gaurav Trivedi
Naorem Yaipharenba Meitei
National Institute of Technology Silchar

Corresponding Author:naorem_rs@ece.nits.ac.in

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Krishna Baishnab
National Institute of Technology Silchar
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Gaurav Trivedi
Indian Institute of Technology Guwahati
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Abstract

In this article, we propose a fast 3D-IC floorplanning method for hard macro-blocks that includes a thermal management scheme. It applies a genetic algorithm constituted by an optimal combination of crossover and mutation operations to identify the optimal solution for design variables, namely, total wire length, number of through-silicon vias (TSVs), and maximum average layer power density. The proposed method additionally makes use of a unique TSV placement scheme that arranges TSVs next to their respective functional blocks. To enable efficient heat transmission to the ambient environment, layers with higher power densities are placed closer to the heat sink. The proposed 3D-IC floorplanning approach provides the fewest TSVs, the lowest peak temperature, and promising values of wire length within the least amount of computation time. Compared to the recent fast thermal analysis for fixed-outline 3D-floorplanning, it generates 13.14% shorter wire length, 39.27% lower peak temperature, and 34.35% lesser number of TSVs on average with significant improvement in computation time, while analyzing GSRC thermal benchmark circuits.
06 Mar 2023Submitted to International Journal of Circuit Theory and Applications
06 Mar 2023Submission Checks Completed
06 Mar 2023Assigned to Editor
06 Mar 2023Review(s) Completed, Editorial Evaluation Pending
07 Mar 2023Reviewer(s) Assigned
02 Apr 2023Editorial Decision: Revise Minor
03 May 20231st Revision Received
05 May 2023Submission Checks Completed
05 May 2023Assigned to Editor
05 May 2023Review(s) Completed, Editorial Evaluation Pending
06 May 2023Reviewer(s) Assigned
13 May 2023Editorial Decision: Accept