Hardik Sharma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration. | Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park |
| 2025 | ICCV | DeepID Challenge of Detecting Synthetic Manipulations in ID Documents. | Pavel Korshunov, Vidit Vidit, Amir Mohammadi, Christophe Ecabert, Nevena Shamoska, Sbastien Marcel, Zeqin Yu, Ye Tian, Jiangqun Ni, Lazar Lazarevic, Renat Khizbullin, Anastasiia Evteeva, Alexey Tochin, Aleksei Grishin, Anjith George, Daniel DeAlcala, Tams Endrei, Javier Muoz-Haro, Ruben Tolosana, Rubn Vera-Rodrguez, Aythami Morales, Julian Fierrez, Gyrgy Cserey, Hardik Sharma, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Prateek Shaily, Jayant Kumar, Ajinkya Hase, Satish Maurya, Mridul Sharma, Pallav Dwivedi |
| 2024 | ASPLOS | In-Storage Domain-Specific Acceleration for Serverless Computing. | Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh |
| 2024 | ISCA | DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. | Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park |
| 2022 | USENIX | CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. | Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park |
| 2020 | DAC | Bit-Parallel Vector Composability for Neural Acceleration. | Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh |
| 2020 | MICRO | Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. | 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 |
| 2018 | ISCA | Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. | Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh |
| 2017 | MICRO | Scale-out acceleration for machine learning. | Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh |
| 2016 | HPCA | TABLA: A unified template-based framework for accelerating statistical machine learning. | Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh |
| 2016 | MICRO | From high-level deep neural models to FPGAs. | Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh |
| 2015 | MICRO | Neural acceleration for GPU throughput processors. | Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh |