pGRASS-Solver: A Graph Spectral Sparsification-Based Parallel Iterative Solver for Large-Scale Power Grid Analysis

Z Liu, W Yu - IEEE Transactions on Computer-Aided Design of …, 2023 - ieeexplore.ieee.org
With the increase in the complexity of VLSI chips, power grid analysis has become a
challenging task, because linear equations of extremely large size need to be solved …

Unleashing the power of graph spectral sparsification for power grid analysis via incomplete cholesky factorization

C Li, C An, Z Gao, F Yang, Y Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph spectral sparsification-based preconditioning technique has shown promising results
for power grid analysis. However, the conventional methods converge slowly for high …

FPDsim: a structural simulator for power grid analysis of flat panel display

C An, C Li, X Li, Y Su, F Yang… - 2023 60th ACM/IEEE …, 2023 - ieeexplore.ieee.org
As the resolution continues to increase, the scale of the power grid of the flat panel display
(FPD) becomes huge. This imposes a severe computational challenge for analysis and …

Nested Dissection Based Parallel Transient Power Grid Analysis on Public Cloud Virtual Machines

J Cheng, Z Liu, L Li, W Yu - 2024 29th Asia and South Pacific …, 2024 - ieeexplore.ieee.org
Accurate and efficient transient analysis of power grids (PGs) poses a large challenge of
computation for nowadays integrated circuit design. In this work, we propose to leverage the …

Randomized Cholesky Factorization With Threshold Based Multisampling for Power Grid Simulation

Z Liu, W Yu - IEEE Transactions on Computer-Aided Design of …, 2024 - ieeexplore.ieee.org
Transient simulation of large power grids (PGs) can be extremely challenging because
linear equation systems with millions of unknowns need to be solved at each time step. The …

SRAM-PG: Power Delivery Network Benchmarks from SRAM Circuits

S Shen, Z Liu, W Yu - 2024 25th International Symposium on …, 2024 - ieeexplore.ieee.org
Designing the power delivery network (PDN) in very large-scale integrated (VLSI) circuits is
increasingly important, especially for nowadays low-power integrated circuit (IC) design. In …

A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis

Y Jiang, J Song, X Yin, X Dong, S Sun, Y Lin… - Proceedings of the …, 2024 - dl.acm.org
Power grid analysis is essential for integrated circuit design, especially as the scale extends
to billions of nodes, making precise calculations across the entire spatial domain …

ICDaIR: Distribution-aware Static IR Drop Prediction Flow Based on Image Classification

P Li, Y Zuo, Y Sun, H Yan, L Shi - Proceedings of the 2024 ACM/IEEE …, 2024 - dl.acm.org
During the integrated circuit design process, the maximum IR drop value is often given more
attention. The frequency of the maximum IR drop in the actual circuits presents an uneven …

Efficient Improvements of Domain Decomposition Method for Power Grid Transient Simulation

Q Chen, M Li, H Yan, L Shi - 2023 International Symposium of …, 2023 - ieeexplore.ieee.org
The efficiency of large-scale power grid transient simulation has been of great interest.
Combined with distributed computing, the domain decomposition method can well tackle …