Byung Hoon Ahn

Orcid: 0000-0003-2648-8748

According to our database1, Byung Hoon Ahn authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

In-Storage Domain-Specific Acceleration for Serverless Computing.
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.
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.
CoRR, 2023

Domain-Specific Computational Storage for Serverless Computing.
CoRR, 2023

2022
AI for Optimized Execution of AI
PhD thesis, 2022

FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
IEEE Micro, 2022

Glimpse: mathematical embedding of hardware specification for neural compilation.
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.
Proceedings of the Third Conference on Machine Learning and Systems, 2020

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation.
CoRR, 2019


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