Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural NetworkYuting HuJiajie Liet al.2023NeurIPS 2023
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory DevicesG.S. SyedK. Brewet al.2023IEDM 2023
Synapses, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware AccelerationIrem Boybat-Kara2023IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and InferenceManuel Le GalloCorey Liam Lammieet al.2023APL Mach. Learn.
Ferroelectric Hafnia Superlattices for Bio-Inspired ComputingLaura Bégon-LoursElisabetta Morabitoet al.2023MRS Fall Meeting 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural NetworksSidney Tsai2023MRS Fall Meeting 2023
Impact of Phase-Change Memory Nonidealities on Analog In-Memory Computing Deep Learning AccuracyNing Li2023MRS Fall Meeting 2023
A Novel Electrical Bias Technique to Recover Degraded ReRAM Arrays for Deep LearningFabia Farlin AthenaNanbo Gonget al.2023MRS Fall Meeting 2023
Filament-induced crystallization of TiN/HfOx/TiN film in neuromorphic devicesAlex FoucherBaoming Wanget al.2023MRS Fall Meeting 2023