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Journal Articles
- 2022
[j2]Soumick Chatterjee
, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8(10): 259 (2022)- [j1]Kartik Prabhu, Albert Gural, Zainab F. Khan, Robert M. Radway, Massimo Giordano, Kalhan Koul, Rohan Doshi, John W. Kustin, Timothy Liu, Gregorio B. Lopes, Victor Turbiner, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina:
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. IEEE J. Solid State Circuits 57(4): 1013-1026 (2022)
Conference and Workshop Papers
- 2024
- [c5]Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, Priyanka Raina:
8-bit Transformer Inference and Fine-tuning for Edge Accelerators. ASPLOS (3) 2024: 5-21 - [c4]Kartik Prabhu, Robert M. Radway, Y. Jeffrey, Kai Bartolone, Massimo Giordano, Fabian Peddinghaus, Yonatan Urman, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Subhasish Mitra, Priyanka Raina:
MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c3]Tathagata Srimani, Robert M. Radway, Jinwoo Kim, Kartik Prabhu, Dennis Rich, Carlo Gilardi, Priyanka Raina, Max M. Shulaker, Sung Kyu Lim, Subhasish Mitra:
Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits. DATE 2023: 1-6 - 2022
- [c2]Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Kartik Prabhu, Quoc V. Le, Anna Goldie, Azalia Mirhoseini:
A full-stack search technique for domain optimized deep learning accelerators. ASPLOS 2022: 27-42 - 2021
- [c1]Massimo Giordano, Kartik Prabhu, Kalhan Koul, Robert M. Radway, Albert Gural, Rohan Doshi, Zainab F. Khan, John W. Kustin, Timothy Liu, Gregorio B. Lopes, Victor Turbiner, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina:
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. VLSI Circuits 2021: 1-2
Informal and Other Publications
- 2020
- [i1]Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR abs/2006.10802 (2020)
Coauthor Index
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