Byung Hoon Ahn

According to our database, Byung Hoon Ahn authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Performance Implications of LLM Inference on CPUs.

Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators.

Shu-Ting Wang, Hanyang Xu, Amin Mamandipoor, Rohan Mahapatra, Byung Hoon Ahn, Soroush Ghodrati, Krishnan Kailas, Mohammad Alian, Hadi Esmaeilzadeh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

In-Storage Domain-Specific Acceleration for Serverless Computing.

Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Tandem Processor: Grappling with Emerging Operators in Neural Networks.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

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

Domain-Specific Computational Storage for Serverless Computing.

Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh

CoRR, 2023

2022

AI for Optimized Execution of AI

Byung Hoon Ahn

PhD thesis, 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

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, Jongse Park, Hadi Esmaeilzadeh

IEEE Micro, 2022

Glimpse: mathematical embedding of hardware specification for neural compilation.

Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Proceedings of the Third Conference on Machine Learning and Systems, 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

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.

Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation.

Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh

CoRR, 2019