Narayanan, Vijay

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference

Le Gallo, M., Khaddam-Aljameh, R., Stanisavljevic, M., Vasilopoulos, A., Kersting, B., Dazzi, M., Karunaratne, G., Brändli, M., Singh, A., Müller, S. M., et al. (2023) · Nature Electronics

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 310

An analog-AI chip for energy-efficient speech recognition and transcription

Ambrogio, S., Narayanan, P., Okazaki, A., Fasoli, A., Mackin, C., Hosokawa, K., Nomura, A., Yasuda, T., Chen, A., Friz, A., et al. (2023) · Nature

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 269

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Rasch, M. J., Mackin, C., Le Gallo, M., Chen, A., Fasoli, A., Odermatt, F., Li, N., Nandakumar, S. R., Narayanan, P., Tsai, H., et al. (2023) · Nature Communications

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 213

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays

Rasch, M. J., Moreda, D., Gokmen, T., Le Gallo, M., Carta, F., Goldberg, C., El Maghraoui, K., Sebastian, A., & Narayanan, V. (2021) · 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 160

HERMES-Core—A 1.59-TOPS/mm 2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs

Khaddam-Aljameh, R., Stanisavljevic, M., Fornt Mas, J., Karunaratne, G., Brändli, M., Liu, F., Singh, A., Müller, S. M., Egger, U., Petropoulos, A., et al. (2022) · IEEE Journal of Solid-State Circuits

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 144

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

Khaddam-Aljameh, R., Stanisavljevic, M., Fornt Mas, J., Karunaratne, G., Braendli, M., Liu, F., Singh, A., Müller, S. M., Egger, U., Petropoulos, A., et al. (2021) · 2021 Symposium on VLSI Circuits

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 124

Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format

Narayanan, P., Ambrogio, S., Okazaki, A., Hosokawa, K., Tsai, H., Nomura, A., Yasuda, T., Mackin, C., Lewis, S. C., Friz, A., et al. (2021) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 85

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh

Jain, S., Tsai, H., Chen, C.-T., Muralidhar, R., Boybat, I., Frank, M. M., Woźniak, S., Stanisavljevic, M., Adusumilli, P., Narayanan, P., et al. (2023) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 76

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation

Bruce, R. L., Sarwat, S. G., Boybat, I., Cheng, C.-W., Kim, W., Nandakumar, S. R., Mackin, C., Philip, T., Liu, Z., Brew, K., et al. (2021) · 2021 IEEE International Reliability Physics Symposium (IRPS)

Advanced Memory and Neural ComputingPhase-change materials and chalcogenides

Cited by 23

Gradient descent-based programming of analog in-memory computing cores

Büchel, J., Vasilopoulos, A., Kersting, B., Odermatt, F., Brew, K., Ok, I., Choi, S., Saraf, I., Chan, V., Philip, T., et al. (2022) · 2022 International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 18

Gradient descent-based programming of analog in-memory computing cores

Büchel, J., Sebastian, A., Kersting, B., Odermatt, F., Brew, K., Ok, I., Choi, S., Vasilopoulos, A., Chan, V., Philip, T., et al. (2023) · Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 1