Sunghyun Park

According to our database, Sunghyun Park authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism.

Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia

CoRR, 2024

2023

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen

CoRR, 2023

Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms.

Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park

Proceedings of the 24th ACM SIGPLAN/SIGBED International Conference on Languages, 2023

Tailoring CUTLASS GEMM using Supervised Learning.

Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations.

Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

Loner: utilizing the CPU vector datapath to process scalar integer data.

Armand Behroozi, Sunghyun Park, Scott A. Mahlke

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

Collage: Seamless Integration of Deep Learning Backends with Automatic Placement.

Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Collage: Automated Integration of Deep Learning Backends.

Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia

CoRR, 2021

2020

Path Sensitive Signatures for Control Flow Error Detection.

Ze Zhang, Sunghyun Park, Scott A. Mahlke

Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020

Low-cost prediction-based fault protection strategy.

Sunghyun Park, Shikai Li, Ze Zhang, Scott A. Mahlke

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

Multi-objective Exploration for Practical Optimization Decisions in Binary Translation.

Sunghyun Park, Youfeng Wu, Janghaeng Lee, Amir Aupov, Scott A. Mahlke

ACM Trans. Embed. Comput. Syst., 2019

2018

Sculptor: Flexible Approximation with Selective Dynamic Loop Perforation.

Shikai Li, Sunghyun Park, Scott A. Mahlke

Proceedings of the 32nd International Conference on Supercomputing, 2018

Low Cost Transient Fault Protection Using Loop Output Prediction.

Sunghyun Park, Shikai Li, Scott A. Mahlke

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018