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Demonstration of synaptic behavior in a heavy-metal-ferromagnetic-metal-oxide-heterostructure-based spintronic device for on-chip learning in crossbar-array-based neural networks

Published in ACS Applied Electronic Materials, 2023

Recommended citation: Ram S. Yadav, Pankhuri Gupta, Amod Holla, Kacho Imtiyaz Ali Khan, Pranaba K. Muduli, and Debanjan Bhowmik
ACS Applied Electronic Materials 2023 5(1), 484-497
DOI: 10.1021/acsaelm.2c01488
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Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning

Published in Neuromorphic Computing and Engineering, 2023

Recommended citation: Ram Singh Yadav, Aniket Sadashiva, Amod Holla, Pranaba Kishor Muduli and Debanjan Bhowmik
Neuromorphic Computing and Engineering 2023 3 034006
DOI: 10.1088/2634-4386/acf0e4
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Spintronics-Based Neuromorphic and Ising Computing

Published in 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 2024

Recommended citation: Debanjan Bhowmik, Ram Singh Yadav, Neha Garg, Amod Holla, Pranaba K Muduli
2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Bangalore, India 2024 pp. 1-3
DOI: 10.1109/EDTM58488.2024.10511458

TAXI: Traveling Salesman Problem Accelerator with X-Bar-Based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering

Published in 62nd ACM/IEEE Design Automation Conference (DAC), 2025

Recommended citation: Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, and Kaushik Roy
62nd ACM/IEEE Design Automation Conference (DAC), Article 60, pp. 1-7, 2025
DOI: 10.1109/DAC63849.2025.11132522
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ROSETTA: ROM-Overlaid STT-MRAM for Efficient MVM and Softmax Operations Toward Accelerating Transformer Inference

Published in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2026

Recommended citation: Amod Holla, Mainakh Mukherjee, Anushka Mukherjee, and Kaushik Roy
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 16(2), 441-454, 2026
DOI: 10.1109/JETCAS.2026.3665635
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LIMO: Low-power in-memory-annealer and matrix-multiplication primitive for edge computing

Published in npj Unconventional Computing, 2026

Recommended citation: Amod Holla, Sumedh Chatterjee, Sutanu Sen, Anushka Mukherjee, Fernando García-Redondo, Dwaipayan Biswas, Francesca Iacopi, and Kaushik Roy
npj Unconventional Computing 3, Article 10, 2026
DOI: 10.1038/s44335-026-00054-8
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Amod Holla