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Kartik Prabhu
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2020 – today
- 2024
- [c4]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 - 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
- [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) - [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 - 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)
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