Byung Hoon Ahn

17 papers A* 4Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
FlexInfer: Flexible LLM Inference with CPU Computations.
MLSys
Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Aaron Jezghani, Jeffrey Young, Christopher J. Hughes, Tushar Krishna, Hyesoon Kim
2024 A* conf
Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators.
HPCA
Shu-Ting Wang, Hanyang Xu, Amin Mamandipoor, Rohan Mahapatra, Byung Hoon Ahn, Soroush Ghodrati, Krishnan Kailas, Mohammad Alian, Hadi Esmaeilzadeh
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
2024 — conf
Understanding Performance Implications of LLM Inference on CPUs.
IISWC
Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim
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 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 — —
AI for Optimized Execution of AI
Byung Hoon Ahn
2022 J jnl
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms.
IEEE Trans. Syst. Man Cybern. Syst.
Mohammad Loni, Ali Zoljodi, Amin Majd, Byung Hoon Ahn, Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh
2022 A* conf
Glimpse: mathematical embedding of hardware specification for neural compilation.
DAC
Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh
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
2020 A* conf
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.
ICLR
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
2020 J jnl
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.
CoRR
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
2020 — conf
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices.
MLSys
Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
2020 J jnl
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices.
CoRR
Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, 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
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation.
CoRR
Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh