Devices, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware Acceleration
- 2024
- HiPEAC 2024
Workshop paper
Publications
283 results for AI Hardware
Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm
- Tommaso Stecconi
- Valeria Bragaglia
- et al.
- 2024
- Nano Letters
PaperExploring the benefits of using co-packaged optics in data center and AI supercomputer networks: A simulation-based analysis [Invited]
- Pavlos Maniotis
- Daniel M. Kuchta
- 2024
- J. of Opt. Comm. and Netw.
PaperDramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms
- Yongmo Park
- Subhankar Pal
- et al.
- 2024
- IEEE Computer Architecture Letters
PaperGrowth of AlSb/Sb Structures for Phase Change Memories via Molecular Beam Epitaxy
- Haibo Gong
- Vadim Tokranov
- et al.
- 2023
- SISC 2023
PosterDesign of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Invited talkSyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- Yuting Hu
- Jiajie Li
- et al.
- 2023
- NeurIPS 2023
Conference paperIn-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- G.S. Syed
- K. Brew
- et al.
- 2023
- IEDM 2023
Conference paperSynapses, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware Acceleration
- 2023
- IEDM 2023
TutorialUsing the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Paper