AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory ComputingJulian BüchelWilliam Simonet al.2024NeurIPS 2024
Analog AI as a Service: A Cloud Platform for In-Memory ComputingKaoutar El MaghraouiKim Tranet al.2024SSE 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory ComputingElena FerroA. Vasilopouloset al.2024ISCAS 2024
How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) SystemsCorey Liam LammieManuel Le Galloet al.2024ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-TrainingCorey Liam LammieA. Vasilopouloset al.2024ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-TrainingCorey Liam LammieA. Vasilopouloset al.2024ISCAS 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and InferenceManuel Le GalloCorey Liam Lammieet al.2023APL Mach. Learn.
KEKaoutar El MaghraouiPrincipal Research Scientist and Manager, AIU Spyre Model Enablement, AI Hardware Center