An analog-AI chip for energy-efficient speech recognition and transcription
- S. Ambrogio
- Pritish Narayanan
- et al.
- 2023
- Nature
Victor Chan
Title
Yield learning & Diag Eng Prof
Bio
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Current / Recent: STSM in Yield / characterization of 2nm Nanosheet Logic; Analog AI hardware and chiplet technologies.
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Working in semiconductor industry over 20 years in IBM.
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Technical leadership in FEOL integration and device teams of CMOS 90 to deep sub-micron in bulk / SOI technologies, innovative and inventive delivery of process technologies from concept to qualification to manufacturing.
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Specialties include semiconductor device & integration in R&D and production, product - customer deployment, technology licensing and technical support. Extensive experience in running lots and characterization of device / inline-metrology / PLY / Health-of-line and yield data. Device, SRAM and product yield learning and improvement through Hands-on data analysis.
Publications
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
Yield Methodology and Heater Process Variation in Phase Change Memory (PCM) Technology for Analog Computing
- Victor Chan
- A. Gasasira
- et al.
- 2023
- IEEE Trans Semicond Manuf
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks
- Geoffrey Burr
- Pritish Narayanan
- et al.
- 2023
- VLSI Technology 2023
Process Challenge in Analog Computing Hardware using Phase Change Memory (PCM)
- Victor Chan
- I. Ok
- et al.
- 2023
- ASMC 2023
Gradient descent-based programming of analog in-memory computing cores
- 2022
- IEDM 2022
Yield Methodology and Learning in Phase Change Memory (PCM) technology for Analog Computing : Topic/category: YE: Yield Enhancement/Learning, YM: Yield Methodologies
- Victor Chan
- A. Gasasira
- et al.
- 2022
- ASMC 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
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
- Pritish Narayanan
- Stefano Ambrogio
- et al.
- 2021
- IEEE T-ED
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
- Riduan Khaddam-Aljameh
- Milos Stanisavljevic
- et al.
- 2021
- VLSI Circuits 2021
Patents
- US
- 7482216
- US
- 7473593
- US
- 7462525
- US
- 7442611
- US
- 7436169
- CN
- ZL200510091572.6
- US
- 7396724
- US
- 7314790
- US
- 7309637
- CN
- ZL200410079883.6
Top collaborators
VN
Vijay Narayanan
IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials
GB
Geoffrey Burr
Distinguished RSM
IA
Ishtiaq Ahsan
Senior Manager, Yield/ Test & Characterization, IBM Semiconductor Technology Research & Development