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
Abhairaj Singh
Title
Analog Circuit Designer
Publications
A 115.1 TOPS/W, 12.1 TOPS/mm2Computation-in-Memory using Ring-Oscillator based ADC for Edge AI
- Abhairaj Singh
- Rajendra Bishnoi
- et al.
- 2023
- AICAS 2023
Accelerating RRAM Testing with a Low-cost Computation-in-Memory based DFT
- Abhairaj Singh
- Moritz Fieback
- et al.
- 2022
- IEEE ITC 2022
CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out
- Abhairaj Singh
- Mahdi Zahedi
- et al.
- 2022
- AICAS 2022
HERMES-Core-A 1.59-TOPS/mm2PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs
- Riduan Khaddam-Aljameh
- Milos Stanisavljevic
- et al.
- 2022
- IEEE JSSC
A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs
- Mahta Mayahinia
- Abhairaj Singh
- et al.
- 2022
- ACM JETC
Referencing-in-Array Scheme for RRAM-based CIM Architecture
- Abhairaj Singh
- Rajendra Bishnoi
- et al.
- 2022
- DATE 2022
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks
- Sumit Diware
- Abhairaj Singh
- et al.
- 2021
- IEEE TETCI
HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing
- R. Khaddam-Aljameh
- M. Stanisavljevic
- et al.
- 2021
- VLSI Technology 2021
Low-power memristor-based computing for edge-AI applications
- Abhairaj Singh
- Sumit Diware
- et al.
- 2021
- ISCAS 2021
Projects
Top collaborators
VC
Victor Chan
Yield learning & Diag Eng Prof
VN
Vijay Narayanan
IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials
PF
Pier Andrea Francese
Principal RSM - Analog Circuit Design
MB
Matthias Brändli
Digital Circuit Design