AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- 2024
- NeurIPS 2024
Corey Lammie
Publications
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- Hadjer Benmeziane
- Corey Liam Lammie
- et al.
- 2024
- NeurIPS 2024
Heterogeneous Embedded Neural Processing Units Utilizing PCM-based Analog In-Memory Computing
- Irem Boybat-Kara
- Thomas Boesch
- et al.
- 2024
- IEDM 2024
Analog AI as a Service: A Cloud Platform for In-Memory Computing
- Kaoutar El Maghraoui
- Kim Tran
- et al.
- 2024
- SSE 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
- 2024
- ISCAS 2024
How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) Systems
- 2024
- ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- 2024
- ISCAS 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Projects
Top collaborators
ML
Manuel Le Gallo-Bourdeau
Researcher in Neuromorphic and In-Memory Computing
AS
Abu Sebastian
Distinguished Scientist & Manager
KE
Kaoutar El Maghraoui
Principal Research Scientist and Manager, AIU Spyre Model Enablement, AI Hardware Center
JB
Julian Büchel
Pre-Doc