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ICCAD2024 - CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network
Conducted static IR-Drop analysis, a critical component of VLSI design, leveraging Pytorch for implementation.
A Fast C++ Header-only Parser for Standard Parasitic Exchange Format (SPEF).
A pre-RTL, power-performance model for fixed-function accelerators
VoltSpot is a pre-RTL power delivery network (PDN) model for architecture-level PDN noise and reliability evaluation.
This thermal modeling framework, which is developed in MATLAB and wrapped by python scripts, is used to quantify the impact of 3D integration design parameters on CIM inference accuracy.
IR drop analysis is a critical step in digital design, focusing on the potential difference (voltage drop) between two points in a conducting wire due to its resistance. This phenomenon, described …
Using gradient descent method to solve the IR-Drop problem in large-scale display panel with PMOS driving transistor.
MATLAB based tool for PDN Impedance analysis
GAN-based IRDrop prediction tool
Steady state power grid analysis by Random Walk method.
A MATLAB project that uses modified nodal analysis to calculate the node voltages of any analog circuit.
DC analyser for RVJ circuits based on Modified Nodal Analysis
Electronic circuit analysis in Clojure using Modified Nodal Analysis.
A Python implementation of signal-power integrity co-analysis framework for inter-chiplet links.
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Evaluating the relationship between the geographic distribution and power transmission volume of 5,000 power generators from the “Western States Power Grid” using R