Sunghyun Park - RankMe

16 papers A 3B 4C 1Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. ASPLOS (1) 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
2025	—	`conf`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. ASPLOS (2) Ruihang Lai, Junru Shao, Siyuan Feng, Steven 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 Roesch, Todd C. Mowry, Tianqi Chen
2024	J	`jnl`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR 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
2023	J	`jnl`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR 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
2023	B	`conf`	Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. LCTES Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park
2023	C	`conf`	Tailoring CUTLASS GEMM using Supervised Learning. ICCD Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park
2022	B	`conf`	Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2022	B	`conf`	Loner: utilizing the CPU vector datapath to process scalar integer data. CC Armand Behroozi, Sunghyun Park, Scott A. Mahlke
2022	A	`conf`	SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. CGO Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke
2021	J	`jnl`	Collage: Automated Integration of Deep Learning Backends. CoRR Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2021	—	`—`	Compiler Auto-tuning For Code Optimization Sunghyun Park
2020	A	`conf`	Low-cost prediction-based fault protection strategy. CGO Sunghyun Park, Shikai Li, Ze Zhang, Scott A. Mahlke
2020	B	`conf`	Path Sensitive Signatures for Control Flow Error Detection. LCTES Ze Zhang, Sunghyun Park, Scott A. Mahlke
2019	J	`jnl`	Multi-objective Exploration for Practical Optimization Decisions in Binary Translation. ACM Trans. Embed. Comput. Syst. Sunghyun Park, Youfeng Wu, Janghaeng Lee, Amir Aupov, Scott A. Mahlke
2018	—	`conf`	Low Cost Transient Fault Protection Using Loop Output Prediction. DSN Workshops Sunghyun Park, Shikai Li, Scott A. Mahlke
2018	A	`conf`	Sculptor: Flexible Approximation with Selective Dynamic Loop Perforation. ICS Shikai Li, Sunghyun Park, Scott A. Mahlke