Sunghyun Park
Cited by
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Sculptor: Flexible Approximation with Selective Dynamic Loop Perforation
S Li, S Park, S Mahlke
Proceedings of the 2018 International Conference on Supercomputing, 341-351, 2018
SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations
S Park, S Latifi, Y Park, A Behroozi, B Jeon, S Mahlke
2022 IEEE/ACM International Symposium on Code Generation and Optimization …, 2022
Low-cost prediction-based fault protection strategy
S Park, S Li, Z Zhang, S Mahlke
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
B Jeon, S Park, P Liao, S Xu, T Chen, Z Jia
Proceedings of the International Conference on Parallel Architectures and …, 2022
Path Sensitive Signatures for Control Flow Error Detection
Z Zhang, S Park, S Mahlke
The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools …, 2020
Multi-objective Exploration for Practical Optimization Decisions in Binary Translation
S Park, Y Wu, J Lee, A Aupov, S Mahlke
ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-19, 2019
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
R Lai, J Shao, S Feng, SS Lyubomirsky, B Hou, W Lin, Z Ye, H Jin, Y Jin, ...
arXiv preprint arXiv:2311.02103, 2023
Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms
BW Kang, J Wohn, S Lee, S Park, YK Noh, Y Park
Proceedings of the 24th ACM SIGPLAN/SIGBED International Conference on …, 2023
Unveiling Source of Performance Variance on Search-based Compiler Optimization
P Modumudi, X Zhou, S Park
Machine Learning for Computer Architecture and Systems 2022, 2022
Loner: utilizing the CPU vector datapath to process scalar integer data
A Behroozi, S Park, S Mahlke
Proceedings of the 31st ACM SIGPLAN International Conference on Compiler …, 2022
Compiler Auto-tuning For Code Optimization
S Park
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