Sean Kinzer

19 papers A* 4A 1B 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2024 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2024 — conf
In-Storage Domain-Specific Acceleration for Serverless Computing.
ASPLOS (2)
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 — conf
Tandem Processor: Grappling with Emerging Operators in Neural Networks.
ASPLOS (2)
Soroush Ghodrati, Sean Kinzer, Hanyang Xu, Rohan Mahapatra, Yoonsung Kim, Byung Hoon Ahn, Dong Kai Wang, Lavanya Karthikeyan, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Hadi Esmaeilzadeh
2023 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
CoRR
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2023 J jnl
Domain-Specific Computational Storage for Serverless Computing.
CoRR
Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh
2023 A* conf
MESA: Microarchitecture Extensions for Spatial Architecture Generation.
ISCA
Dong Kai Wang, Jiaqi Lou, Naiyin Jin, Edwin Mascarenhas, Rohan Mahapatra, Sean Kinzer, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Nam Sung Kim
2023 J jnl
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations.
CoRR
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2023 — —
Polymorphic Compilation for Cross-Domain Acceleration
Sean Kinzer
2023 J jnl
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators.
CoRR
Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Byung Hoon Ahn, Edwin Mascarenhas, Xiaolong Li, Janarbek Matai, Liang Zhang, Hadi Esmaeilzadeh
2022 A* conf
Glimpse: mathematical embedding of hardware specification for neural compilation.
DAC
Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh
2022 — conf
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
MLCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng
2022 J jnl
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
IEEE Micro
Joon Kyung Kim, Byung Hoon Ahn, Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Brahmendra Reddy Yatham, Shu-Ting Wang, Dohee Kim, Parisa Sarikhani, Babak Mahmoudi, Divya Mahajan, Jongse Park, Hadi Esmaeilzadeh
2021 A* conf
A Computational Stack for Cross-Domain Acceleration.
HPCA
Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh
2021 A conf
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
ICCAD
Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng
2020 B conf
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.
PACT
Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh
2020 A* conf
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.
MICRO
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
2019 J jnl
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic.
CoRR
Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh
2018 J jnl
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks.
CoRR
Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh