How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) SystemsCorey Liam LammieManuel Le Galloet 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.
Scaling Foundation Models: Paving the Future Path for Enterprise AIKaoutar El Maghraoui2023IEEE ADACIS 2023
Pareto Rank-Preserving Supernetwork for Hardware-Aware Neural Architecture SearchHadjer BenmezianeKaoutar El Maghraouiet al.2023ECAI 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory ComputingHadjer BenmezianeCorey Lammieet al.2023EDGE 2023
FactSheets for Hardware-Aware AI Models: A Case Study of Analog in Memory Computing AI ModelsBrandon DominiqueKaoutar El Maghraouiet al.2023SSE 2023
Multi-objective Hardware-Aware Neural Architecture Search with Pareto Rank-preserving Surrogate ModelsHadjer BenmezianeHamza Ouarnoughiet al.2023ACM TACO
5th IBM IEEE CAS/EDS AI Compute Symposium (AICS'22) [Education]Rajiv JoshiKaoutar El Maghraouiet al.2023IEEE Circuits and Systems Magazine