SHF:Small:Enhancing Performance and Reliability in On-Chip Power Distribution Networks
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1.Optimal Selection and Placement of Voltage Regulators in 2.5D Heterogeneously Integrated Systems
- 关键词:
- Codes (symbols);Electric power transmission;Integer linear programming;Integer programming;Integrated control;Mixed-integer linear programming;Capacitor voltages;Chiplet;Heterogeneous integration;Integer Linear Programming;Integrated systems;Key parts;Mixed integer linear;Power delivery;Switched capacitor;Voltage regulator's
- Zhang, Hangyu;Yogi, Divya;Harjani, Ramesh;Sapatnekar, Sachin S.
- 《44th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2025》
- 2025年
- October 26, 2025 - October 30, 2025
- Munich, Germany
- 会议
Power delivery is a significant bottleneck in 2.5D heterogeneously integrated (HI) systems. A key part of the solution lies in the use of voltage regulators that distribute power to the chiplets with low transmission losses, thus ensuring supply levels that meet design specifications. Early HI systems have used manual approaches for placement, but as systems grow more complex and employ heterogeneous chiplets with nonuniform power distributions, the solution becomes nontrivial, and automation is essential. This paper addresses the problem of voltage regulator selection and placement for early-stage power planning in HI systems under DC estimates of chiplet loads. It demonstrates an HI technology using an active silicon interposer with embedded switched-capacitor voltage regulators (SCVRs). The problem is formulated as a 0-1 mixed integer linear program (MILP) and determines the optimal number, location, and types of SCVRs. A key part of the solution is using a macromodeling approach to control the size of the MILP. Experimental results across four test cases - covering both homogeneous and heterogeneous chiplet configurations - demonstrate that the method can efficiently find optimal solutions. The tested scenarios span a wide range of power densities, from 0.8 to 4.0W/mm2, and include total load currents ranging from 800A to 1200A. In all cases, the method achieves high accuracy (average error below 1.7%) and completes the optimization within practical runtimes, ranging from 18.8 to 46.1 minutes. © 2025 IEEE.
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