Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Bio
Athanasios (Thanos) Vasilopoulos holds the position of Predoctoral Researcher in the In-Memory Computing group at IBM Research in Zürich. He obtained an Integrated Master's degree in Electrical and Computer Engineering from the University of Patras in 2021 where he has been actively pursuing a Ph.D. since 2023. He first joined IBM Research as an Intern in 2021, assuming his current position in 2023. His research is centered on architectures and algorithms for in-memory computing systems, with a specific emphasis on applications within the field of Artificial Intelligence.
Publications
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- G.S. Syed
- K. Brew
- et al.
- 2023
- IEDM 2023
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- G.W. Burr
- H. Tsai
- et al.
- 2023
- IEDM 2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
- Julian Buchel
- Athanasios Vasilopoulos
- et al.
- 2023
- IEEE JESTCS
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- Manuel Le Gallo
- Riduan Khaddam-Aljameh
- et al.
- 2023
- Nature Electronics
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing
- Athanasios Vasilopoulos
- Julian Buchel
- et al.
- 2023
- IEEE T-ED
Gradient descent-based programming of analog in-memory computing cores
- Julian Buchel
- A. Vasilopoulos
- et al.
- 2022
- IEDM 2022
Projects
Top collaborators
VN
Vijay Narayanan
IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials
AS
Abu Sebastian
Distinguished Scientist & Manager
ML
Manuel Le Gallo-Bourdeau
Researcher in Neuromorphic and In-Memory Computing
IB
Irem Boybat
In-memory computing, IBM Research | Zurich