Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation. - Byung Hoon Ahn; Prannoy Pilligundla; Hadi Esmaeilzadeh (CoRR, 2019)

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. - Byung Hoon Ahn; Prannoy Pilligundla; Amir Yazdanbakhsh; Hadi Esmaeilzadeh (ICLR, 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)

Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. - Byung Hoon Ahn; Jinwon Lee; Jamie Menjay Lin; Hsin-Pai Cheng; Jilei Hou; Hadi Esmaeilzadeh (MLSys, 2020)

Glimpse: mathematical embedding of hardware specification for neural compilation. - Byung Hoon Ahn; Sean Kinzer; Hadi Esmaeilzadeh (DAC, 2022)

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. - 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 001; Jongse Park; et al. (IEEE Micro, 2022)

FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. - Mohammad Loni; Ali Zoljodi; Amin Majd; Byung Hoon Ahn; Masoud Daneshtalab; Mikael Sjödin; Hadi Esmaeilzadeh (IEEE Trans. Syst. Man Cybern. Syst., 2022)

AI for Optimized Execution of AI - Byung Hoon Ahn (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)

Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators. - Sean Kinzer; Soroush Ghodrati; Rohan Mahapatra; Byung Hoon Ahn; Edwin Mascarenhas; Xiaolong Li; Janarbek Matai; Liang Zhang; Hadi Esmaeilzadeh (CoRR, 2023)

Tandem Processor: Grappling with Emerging Operators in Neural Networks. - Soroush Ghodrati; Sean Kinzer; Hanyang Xu 002; Rohan Mahapatra; Yoonsung Kim; Byung Hoon Ahn; Dong Kai Wang; Lavanya Karthikeyan; Amir Yazdanbakhsh; Jongse Park; Nam Sung Kim; Hadi Esmaeilzadeh (ASPLOS (2), 2024)

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)

Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators. - Shu-Ting Wang; Hanyang Xu 002; Amin Mamandipoor; Rohan Mahapatra; Byung Hoon Ahn; Soroush Ghodrati; Krishnan Kailas; Mohammad Alian; Hadi Esmaeilzadeh (HPCA, 2024)

Understanding Performance Implications of LLM Inference on CPUs. - Seonjin Na; Geonhwa Jeong; Byung Hoon Ahn; Jeffrey Young 001; Tushar Krishna; Hyesoon Kim (IISWC, 2024)