AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory ComputingHadjer BenmezianeCorey Lammieet al.2023EDGE 2023
Temperature sensitivity of analog in-memory computing using phase-change memoryIrem Boybat-KaraBenedikt Kerstinget al.2021IEDM 2021
Precision of synaptic weights programmed in phase-change memory devices for deep learning inferenceS. R. NandakumarIrem Boybatet al.2020IEDM 2020
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)Geoffrey W. BurrPritish Narayananet al.2015IEDM 2015
Heterogeneous Embedded Neural Processing Units Utilizing PCM-based Analog In-Memory ComputingIrem Boybat-KaraThomas Boeschet al.2024IEDM 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous AcceleratorsHadjer BenmezianeCorey Liam Lammieet al.2024NeurIPS 2024
Accurate deep neural network inference using computational phase-change memoryVinay JoshiManuel Le Galloet al.2020Nature Communications
Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory SynapsesS. R. NandakumarIrem Boybatet al.2020Scientific Reports