Hardik Sharma

25 papers A* 8B 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lost in Translation? A Comparative Study on the Cross-Lingual Transfer of Composite Harms.
CoRR
Vaibhav Shukla, Hardik Sharma, Adith N. Reganti, Soham Wasmatkar, Bagesh Kumar, Vrijendra Singh
2026 — conf
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration.
ASPLOS (2)
Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park
2026 J jnl
Pay for Hints, Not Answers: LLM Shepherding for Cost-Efficient Inference.
CoRR
Ziming Dong, Hardik Sharma, Evan O'Toole, Jaya Prakash Champati, Kui Wu
2025 — conf
DeepID Challenge of Detecting Synthetic Manipulations in ID Documents.
ICCVW
Pavel Korshunov, Vidit Vidit, Amir Mohammadi, Christophe Ecabert, Nevena Shamoska, Sébastien Marcel, Zeqin Yu, Ye Tian, Jiangqun Ni, Lazar Lazarevic, Renat Khizbullin, Anastasiia Evteeva, Alexey Tochin, Aleksei Grishin, Anjith George, Daniel DeAlcala, Tamás Endrei, Javier Muñoz-Haro, Ruben Tolosana, Rubén Vera-Rodríguez, Aythami Morales, Julian Fierrez, György Cserey, Hardik Sharma, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Prateek Shaily, Jayant Kumar, Ajinkya Hase, Satish Maurya, Mridul Sharma, Pallav Dwivedi
2025 J jnl
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration.
CoRR
Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park
2024 A* conf
DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.
ISCA
Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park
2024 J jnl
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.
CoRR
Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park
2024 — conf
In-Storage Domain-Specific Acceleration for Serverless Computing.
ASPLOS (2)
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
2023 J jnl
Domain-Specific Computational Storage for Serverless Computing.
CoRR
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
2023 J jnl
Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions.
CoRR
Hardik Sharma, Rajat Garg, Harshini Sewani, Rasha Kashef
2022 — conf
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
USENIX ATC
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2022 J jnl
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
CoRR
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2020 A* conf
Bit-Parallel Vector Composability for Neural Acceleration.
DAC
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
2020 J jnl
Bit-Parallel Vector Composability for Neural Acceleration.
CoRR
Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
2020 B conf
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.
PACT
Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh
2020 A* conf
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.
MICRO
Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
2019 — —
Accelerated Deep Learning for the Edge-to-Cloud continuum: a Specialized Full Stack derived from Algorithms.
Hardik Sharma
2019 J jnl
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic.
CoRR
Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh
2018 A* conf
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.
ISCA
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh
2017 J jnl
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.
CoRR
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh
2017 A* conf
Scale-out acceleration for machine learning.
MICRO
Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh
2016 A* conf
From high-level deep neural models to FPGAs.
MICRO
Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh
2016 A* conf
TABLA: A unified template-based framework for accelerating statistical machine learning.
HPCA
Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh
2016 — conf
The impact of 3D stacking on GPU-accelerated deep neural networks: An experimental study.
3DIC
William Wahby, Thomas E. Sarvey, Hardik Sharma, Hadi Esmaeilzadeh, Muhannad S. Bakir
2015 A* conf
Neural acceleration for GPU throughput processors.
MICRO
Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh