CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
-
Updated
Nov 9, 2024 - Python
#
ir-drop
Here are 4 public repositories matching this topic...
This is a deep-learning based model for Electronic Design Automation(EDA), predicting the IR drop location on the chip.
python
machine-learning
deep-learning
eda
pytorch
prediction-model
electronic-design-automation
ir-drop
-
Updated
Aug 4, 2023 - Python
Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.
machine-learning
word2vec
cnn
power-network
unsupervised-learning
pix2pix
vlsi-physical-design
signoff
u-net
electronic-design-automation
soc-design
u-net-pytorch
physical-layout-analysis
ir-drop
-
Updated
Aug 12, 2024 - Python
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 by Ohm's Law (V=IR), can significantly impact the performance of integrated circuits (IC).
-
Updated
Nov 1, 2024 - Verilog
Improve this page
Add a description, image, and links to the ir-drop topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ir-drop topic, visit your repo's landing page and select "manage topics."