Kartik Prabhu

According to our database, Kartik Prabhu authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating.

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

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

8-bit Transformer Inference and Fine-tuning for Edge Accelerators.

Jeffrey Yu, Kartik Prabhu, Yonatan Urman, Robert M. Radway, Eric Han, Priyanka Raina

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits.

Tathagata Srimani, Robert M. Radway, Jinwoo Kim, Kartik Prabhu, Dennis Rich, Carlo Gilardi, Priyanka Raina, Max M. Shulaker, Sung Kyu Lim, Subhasish Mitra

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

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.

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

IEEE J. Solid State Circuits, 2022

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger

J. Imaging, 2022

A full-stack search technique for domain optimized deep learning accelerators.

Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Kartik Prabhu, Quoc V. Le, Anna Goldie, Azalia Mirhoseini

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2020

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger

CoRR, 2020