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Kartik Prabhu
Kartik Prabhu
Verified email at stanford.edu
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A full-stack search technique for domain optimized deep learning accelerators
D Zhang, S Huda, E Songhori, K Prabhu, Q Le, A Goldie, A Mirhoseini
Proceedings of the 27th ACM International Conference on Architectural …, 2022
672022
CHIMERA: A 0.92 TOPS, 2.2 TOPS/W edge AI accelerator with 2 MByte on-chip foundry resistive RAM for efficient training and inference
M Giordano, K Prabhu, K Koul, RM Radway, A Gural, R Doshi, ZF Khan, ...
2021 symposium on VLSI circuits, 1-2, 2021
632021
CHIMERA: A 0.92-TOPS, 2.2-TOPS/W edge AI accelerator with 2-MByte on-chip foundry resistive RAM for efficient training and inference
K Prabhu, A Gural, ZF Khan, RM Radway, M Giordano, K Koul, R Doshi, ...
IEEE Journal of Solid-State Circuits 57 (4), 1013-1026, 2022
462022
Privacy-preserving inference on the edge: Mitigating a new threat model
K Prabhu, B Jun, P Hu, Z Asgar, S Katti, P Warden
Research symposium on tiny machine learning, 2021
62021
Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits
T Srimani, RM Radway, J Kim, K Prabhu, D Rich, C Gilardi, P Raina, ...
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
32023
MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating
K Prabhu, RM Radway, Y Jeffrey, K Bartolone, M Giordano, ...
2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2024
22024
8-bit Transformer Inference and Fine-tuning for Edge Accelerators
J Yu, K Prabhu, Y Urman, RM Radway, E Han, P Raina
Proceedings of the 29th ACM International Conference on Architectural …, 2024
22024
Predicting Power and Area for Chip Design
K Prabhu, K Koul
2019
Drowsiness Detection using Contactless Heart Rate Monitoring and Eye Tracking
K Prabhu, B Barnhart, A Seetharaman
Drowsiness Detection using Contactless Heart Rate Monitoring and Eye Tracking
B Barnhart, K Prabhu, A Seetharaman
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