Publications

Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh (2020). Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic. PACT 2020.

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Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh (2020). Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. In MICRO 2020.

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

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Hardik Sharma, Jongse Park, Balavinayagam Samynathan, Behnam Robatmili, Shahrzad Mirkhani, Hadi Esmaeilzadeh (2018). From Tensors to FPGAs: Accelerating Deep Learning. In HotChips 2018.

PDF Code Project

Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh (2018). Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network. In ISCA 2018.

PDF Code Project

Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh (2017). Scale-out acceleration for machine learning. In MICRO 2017.

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William Wahby, Thomas Sarvey, Hardik Sharma, Hadi Esmaeilzadeh, Muhannad S Bakir (2016). The impact of 3D stacking on GPU-accelerated deep neural networks: An experimental study. In 3DIC 2016.

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Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh (2016). From High-Level Deep Neural Models to FPGAs. In MICRO 2016.

PDF Code Project Slides

Hardik Sharma, Jongse Park, Emmanuel Amaro, Bradley Thwaites, Praneetha Kotha, Anmol Gupta, Joon Kyung Kim, Asit Mishra, Hadi Esmaeilzadeh (2016). Dnnweaver: From high-level deep network models to fpga acceleration. In CogArch 2016.

PDF Project

Hardik Sharma, William Wahby, Thomas Sarvey, Muhannad S Bakir, Hadi Esmailzadeh (2016). Approximate Computing and Microfluidic Cooling for Enhanced Machine Learning. In WAX 2016.

Project

Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kim, Hadi Esmailzadeh (2016). TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning. In HPCA 2016.

PDF Code Project

Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh (2015). Neural Acceleration for GPU Throughput Processors. In MICRO 2015.

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