NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators
- Yayue Hou
- Sidney Tsai
- et al.
- 2025
- DATE 2025
Publications
7 results for Tayfun Gokmen
Towards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning
- Vasileios Kalantzis
- Mark Squillante
- et al.
- 2024
- Preconditioning 2024
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning
- Vasileios Kalantzis
- Mark Squillante
- et al.
- 2023
- HPEC 2023
Flexible GMRES with Analog Accelerators
- Anshul Gupta
- Vasileios Kalantzis
- et al.
- 2021
- SC 2021
Solving sparse linear systems with approximate inverse preconditioners on analog devices
- Vasileios Kalantzis
- Anshul Gupta
- et al.
- 2021
- HPEC 2021
Efficient ConvNets for Analog Arrays
- Malte Rasch
- Tayfun Gokmen
- et al.
- 2018
- arXiv