Hardik Sharma

According to our database, Hardik Sharma authored at least 17 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

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

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

2023

Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions.

Hardik Sharma, Rajat Garg, Harshini Sewani, Rasha Kashef

CoRR, 2023

Domain-Specific Computational Storage 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

CoRR, 2023

2022

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

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

2020

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

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Bit-Parallel Vector Composability for Neural Acceleration.

Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.

Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Accelerated Deep Learning for the Edge-to-Cloud continuum: a Specialized Full Stack derived from Algorithms.

Hardik Sharma

PhD thesis, 2019

Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic.

Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh

CoRR, 2019

2018

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

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.

Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh

CoRR, 2017

Scale-out acceleration for machine learning.

Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2016

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

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

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

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

The impact of 3D stacking on GPU-accelerated deep neural networks: An experimental study.

William Wahby, Thomas E. Sarvey, Hardik Sharma, Hadi Esmaeilzadeh, Muhannad S. Bakir

Proceedings of the 2016 IEEE International 3D Systems Integration Conference, 2016

2015

Neural acceleration for GPU throughput processors.

Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh

Proceedings of the 48th International Symposium on Microarchitecture, 2015