Kartik Prabhu

12 papers A* 1A 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Birch: A Real-Time Multi-Domain Multi-Task Extended Reality Perception Accelerator.
IEEE Solid State Circuits Lett.
Kathleen Feng, Kai Bartolone, Kartik Prabhu, Brianna McColm, Xingyu Ni, Siddhant Gupta, Priyanka Raina
2025 — conf
Aspen: A 630 FPS Real-Time Posit-Based Unified Accelerator for Extended Reality Perception Workloads.
CICC
Kathleen Feng, Kartik Prabhu, Kai Bartolone, Jeffrey Yu, Priyanka Raina
2025 J jnl
MINOTAUR: A Posit-Based 0.42-0.50-TOPS/W Edge Transformer Inference and Training Accelerator.
IEEE J. Solid State Circuits
Kartik Prabhu, Robert M. Radway, Jeffrey Yu, Kai Bartolone, Massimo Giordano, Fabian Peddinghaus, Yonatan Urman, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Subhasish Mitra, Priyanka Raina
2025 J jnl
Voyager: An End-to-End Framework for Design-Space Exploration and Generation of DNN Accelerators.
CoRR
Kartik Prabhu, Jeffrey Yu, Xinyuan Allen Pan, Zhouhua Xie, Abigail Aleshire, Zihan Chen, Ammar Ali Ratnani, Priyanka Raina
2024 — conf
8-bit Transformer Inference and Fine-tuning for Edge Accelerators.
ASPLOS (3)
Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, Priyanka Raina
2024 — conf
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
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
2023 A conf
Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits.
DATE
Tathagata Srimani, Robert M. Radway, Jinwoo Kim, Kartik Prabhu, Dennis Rich, Carlo Gilardi, Priyanka Raina, Max M. Shulaker, Sung Kyu Lim, Subhasish Mitra
2022 A* conf
A full-stack search technique for domain optimized deep learning accelerators.
ASPLOS
Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Kartik Prabhu, Quoc V. Le, Anna Goldie, Azalia Mirhoseini
2022 J jnl
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
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
2022 J jnl
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.
J. Imaging
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2021 — conf
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
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
2020 J jnl
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.
CoRR
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger