MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression

Adjoint sensitivity analysis is an exceptionally efficient method for computing the gradient of an objective function with respect to given parameters, playing a crucial role in modern circuit design and verification. According to the principles of the adjoint method, it is necessary to store all es...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Li, Chenxi, Feng, Yihang, Deng, Fuxing, Tao, Dingwen, Liu, Weifeng, Jin, Zhou
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Accuracy Adjoint sensitivity analysis Circuit simulation Compression algorithms Lossy compression Memory management Prediction algorithms Quantization (signal) Sensitivity analysis Smoothing methods Spatiotemporal phenomena Vectors
Online Access:	Get full text
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