Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power PerformanceSidney TsaiHadjer Benmezianeet al.2025IMW 2025
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2024IPDPS 2024
Emerging Nonvolatile Memories for Analog Neuromorphic ComputingAn ChenStefano Ambrogioet al.2024ECS Spring Meeting 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
Phase Change Memory-based Hardware Accelerators for Deep Neural NetworksGeoffrey BurrPritish Narayananet al.2023VLSI Technology 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural NetworksSidney TsaiPritish Narayananet al.2023ISCAS 2023
Analog-AI: Hardware Acceleration for Deep Neural Network InferenceGeoffrey BurrSidney Tsaiet al.2023NeuMatDeCaS 2023
Optimised weight programming for analogue memory-based deep neural networksCharles MackinMalte Raschet al.2022MRS Fall Meeting 2022
Optimization of Projected Phase Change Memory for Analog In-Memory Computing InferenceNing LiCharles Mackinet al.2022MRS Fall Meeting 2022
Optimization of Analog Accelerators for Deep Neural Networks InferenceAndrea FasoliStefano Ambrogioet al.2020ISCAS 2020