Table of Contents
Fetching ...

Full-Scale GPU-Accelerated Transient EM-Thermal-Mechanical Co-Simulation for Early-Stage Design of Advanced Packages

Hongyang Liu, Tejas Kulkarni, Ganesh Subbarayan, Cheng-Kok Koh, Dan Jiao

TL;DR

The proposed solver enables full-scale, non-homogenized, time-domain simulation of large-scale packages with runtimes amenable for rapid design iteration, and allows for the identification of signal-induced adiabatic stress that is typically invisible to steady-state and homogenized baselines.

Abstract

In the early-stage design of advanced electronic packages, designers face a critical trade-off between simulation fidelity and computational turnaround time. Conventional early-stage methodologies typically achieve speed by relying on steady-state assumptions and structural homogenization. While computationally efficient, these approximations fundamentally fail to capture dynamic thermal events and stress concentrations at fine-grained internal interfaces, effectively masking failure mechanisms driven by transient signal bursts. In this work, we present a GPU-accelerated transient coupled Electromagnetic-Thermal-Mechanical solver that resolves this bottleneck. The proposed solver enables full-scale, non-homogenized, time-domain simulation of large-scale packages with runtimes amenable for rapid design iteration. Simulation of a NEC SX-Aurora TSUBASA package demonstrates that the tool allows for the identification of signal-induced adiabatic stress that is typically invisible to steady-state and homogenized baselines. This capability brings sign-off level physics fidelity to the early design phase, facilitating the prevention of costly late-stage design failures and broader transient thermal performance degradation risks.

Full-Scale GPU-Accelerated Transient EM-Thermal-Mechanical Co-Simulation for Early-Stage Design of Advanced Packages

TL;DR

The proposed solver enables full-scale, non-homogenized, time-domain simulation of large-scale packages with runtimes amenable for rapid design iteration, and allows for the identification of signal-induced adiabatic stress that is typically invisible to steady-state and homogenized baselines.

Abstract

In the early-stage design of advanced electronic packages, designers face a critical trade-off between simulation fidelity and computational turnaround time. Conventional early-stage methodologies typically achieve speed by relying on steady-state assumptions and structural homogenization. While computationally efficient, these approximations fundamentally fail to capture dynamic thermal events and stress concentrations at fine-grained internal interfaces, effectively masking failure mechanisms driven by transient signal bursts. In this work, we present a GPU-accelerated transient coupled Electromagnetic-Thermal-Mechanical solver that resolves this bottleneck. The proposed solver enables full-scale, non-homogenized, time-domain simulation of large-scale packages with runtimes amenable for rapid design iteration. Simulation of a NEC SX-Aurora TSUBASA package demonstrates that the tool allows for the identification of signal-induced adiabatic stress that is typically invisible to steady-state and homogenized baselines. This capability brings sign-off level physics fidelity to the early design phase, facilitating the prevention of costly late-stage design failures and broader transient thermal performance degradation risks.
Paper Structure (10 sections, 9 equations, 4 figures)

This paper contains 10 sections, 9 equations, 4 figures.

Figures (4)

  • Figure 1: GDS layout of the simulated advanced package structure showing the distribution of logic and HBM blocks.
  • Figure 2: Normalized transient Joule power distribution at $z=1.6$ mm (Interposer C4 layer) at (a) $t=79$ ps and (b) $t=166$ ps. 0 dB corresponds to the peak value.
  • Figure 3: Transient temperature distribution in Celsius at $z=1.6$ mm at $t=300$ ps. The distribution highlights localized heating missed by steady-state approximations.
  • Figure 4: Mechanical response at $z=1.6$ mm derived from the transient thermal load: (a) Displacement magnitude, and (b) Von Mises stress distribution.