Deep Learning Autoencoder-based Compression for Current Source Model Waveforms
Published in 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS) • Nov 28, 2021
Authors:,
Waseem Raslan
Yehea Ismail
Abstract
Modeling complex cell behavior is critical for accurate static timing analysis. Huge waveform data needed for current source models explodes technology file size and degrades design flow performance. We used deep learning nonlinear Autoencoders to compress voltage and current waveforms and compared ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!