A Robust Optimization Approach for High Bandwidth Memory Interposer Using Machine Learning
Conventional optimization approaches are computationally inefficient and insufficient for time-sensitive optimization exercises. This paper presents a machine learning (ML) based approach to optimize the interposer structure of High Bandwidth Memory (HBM) by optimizing channel parameters.
Authors
- Xuan Chen
- Anandajith Jinesh
Institutions
- Advanced Micro Devices (Canada) (CA)
Publication Details
- Published
- 2024-10-06
- DOI
- https://doi.org/10.1109/epeps61853.2024.10753986
- Primary Topic
- 3D IC and TSV technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00