Neural acceleration for GPU throughput processors. - Amir Yazdanbakhsh; Jongse Park; Hardik Sharma; Pejman Lotfi-Kamran; Hadi Esmaeilzadeh (MICRO, 2015)

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 (3DIC, 2016)

TABLA: A unified template-based framework for accelerating statistical machine learning. - Divya Mahajan 001; Jongse Park; Emmanuel Amaro; Hardik Sharma; Amir Yazdanbakhsh; Joon Kyung Kim; Hadi Esmaeilzadeh (HPCA, 2016)

From high-level deep neural models to FPGAs. - Hardik Sharma; Jongse Park; Divya Mahajan 001; Emmanuel Amaro; Joon Kyung Kim; Chenkai Shao; Asit Mishra; Hadi Esmaeilzadeh (MICRO, 2016)

Scale-out acceleration for machine learning. - Jongse Park; Hardik Sharma; Divya Mahajan 001; Joon Kyung Kim; Preston Olds; Hadi Esmaeilzadeh (MICRO, 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)

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 (ISCA, 2018)

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)

Accelerated Deep Learning for the Edge-to-Cloud continuum: a Specialized Full Stack derived from Algorithms. - Hardik Sharma (2019)

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 (PACT, 2020)

Bit-Parallel Vector Composability for Neural Acceleration. - Soroush Ghodrati; Hardik Sharma; Cliff Young; Nam Sung Kim; Hadi Esmaeilzadeh (DAC, 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 (MICRO, 2020)

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. - Jinwoo Hwang; Minsu Kim 004; Daeun Kim; Seungho Nam; Yoonsung Kim; Dohee Kim; Hardik Sharma; Jongse Park (USENIX ATC, 2022)

Domain-Specific Computational Storage for Serverless Computing. - Rohan Mahapatra; Soroush Ghodrati; Byung Hoon Ahn; Sean Kinzer; Shu-Ting Wang; Hanyang Xu 002; Lavanya Karthikeyan; Hardik Sharma; Amir Yazdanbakhsh; Mohammad Alian; Hadi Esmaeilzadeh (CoRR, 2023)

Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions. - Hardik Sharma; Rajat Garg; Harshini Sewani; Rasha Kashef 001 (CoRR, 2023)

In-Storage Domain-Specific Acceleration for Serverless Computing. - Rohan Mahapatra; Soroush Ghodrati; Byung Hoon Ahn; Sean Kinzer; Shu-Ting Wang; Hanyang Xu 002; Lavanya Karthikeyan; Hardik Sharma; Amir Yazdanbakhsh; Mohammad Alian; Hadi Esmaeilzadeh (ASPLOS (2), 2024)

DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. - Yoonsung Kim; Changhun Oh; Jinwoo Hwang; Wonung Kim; Seongryong Oh; Yubin Lee 002; Hardik Sharma; Amir Yazdanbakhsh; Jongse Park (ISCA, 2024)