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2020 – today
- 2024
[c12]Rohan Mahapatra
, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh:
In-Storage Domain-Specific Acceleration for Serverless Computing. ASPLOS (2) 2024: 530-548- [c11]Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park:
DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. ISCA 2024: 1246-1261 - [i7]Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park:
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. CoRR abs/2403.14353 (2024) - 2023
- [i6]Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh:
Domain-Specific Computational Storage for Serverless Computing. CoRR abs/2303.03483 (2023) - [i5]Hardik Sharma, Rajat Garg, Harshini Sewani, Rasha Kashef:
Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions. CoRR abs/2303.18135 (2023) - 2022
- [c10]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. USENIX ATC 2022: 707-722 - [i4]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. CoRR abs/2207.00588 (2022) - 2020
- [c9]Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic. PACT 2020: 399-411 - [c8]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. DAC 2020: 1-6 - [c7]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:
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. MICRO 2020: 681-697 - [i3]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. CoRR abs/2004.05333 (2020)
2010 – 2019
- 2019
- [b1]Hardik Sharma:
Accelerated Deep Learning for the Edge-to-Cloud continuum: a Specialized Full Stack derived from Algorithms. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [i2]Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic. CoRR abs/1906.11915 (2019) - 2018
- [c6]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. ISCA 2018: 764-775 - 2017
- [c5]Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh:
Scale-out acceleration for machine learning. MICRO 2017: 367-381 - [i1]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks. CoRR abs/1712.01507 (2017) - 2016
- [c4]William Wahby, Thomas E. Sarvey, Hardik Sharma, Hadi Esmaeilzadeh, Muhannad S. Bakir:
The impact of 3D stacking on GPU-accelerated deep neural networks: An experimental study. 3DIC 2016: 1-4 - [c3]Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh:
TABLA: A unified template-based framework for accelerating statistical machine learning. HPCA 2016: 14-26 - [c2]Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh:
From high-level deep neural models to FPGAs. MICRO 2016: 17:1-17:12 - 2015
- [c1]Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh:
Neural acceleration for GPU throughput processors. MICRO 2015: 482-493
Coauthor Index
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