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Sunghyun Park 0004
Person information
- affiliation: OctoAI, Seattle, WA, USA
- affiliation: University of Michigan, Ann Arbor, USA
- not to be confused with: Sunghyun Park 0006
Other persons with the same name
- Sunghyun Park (aka: SungHyun Park, Sung-Hyun Park) — disambiguation page
- Sunghyun Park 0001 — University of Southern California, Los Angeles, CA, USA
- Sunghyun Park 0002 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Sunghyun Park 0003 — Samsung Electronics Co., Ltd., South Korea
- Sunghyun Park 0005 — Yonsei University
- Sunghyun Park 0006 — University of Michigan, Ann Arbor, USA
- Sunghyun Park 0007 — Georgia Tech, Atlanta, GA, USA
- Sunghyun Park 0008 (aka: SungHyun Park 0008) — Soongsil University, Department of Smart Systems Software, Seoul, Korea
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2020 – today
- 2024
- [i3]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:
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR abs/2406.17145 (2024) - 2023
- [c9]Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park:
Tailoring CUTLASS GEMM using Supervised Learning. ICCD 2023: 465-474 - [c8]Beom Woo Kang, Junho Wohn, Seongju Lee, Sunghyun Park, Yung-Kyun Noh, Yongjun Park:
Synchronization-Aware NAS for an Efficient Collaborative Inference on Mobile Platforms. LCTES 2023: 13-25 - [i2]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:
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR abs/2311.02103 (2023) - 2022
- [c7]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT 2022: 517-529 - [c6]Armand Behroozi, Sunghyun Park, Scott A. Mahlke:
Loner: utilizing the CPU vector datapath to process scalar integer data. CC 2022: 205-217 - [c5]Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke:
SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. CGO 2022: 118-130 - 2021
- [i1]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Automated Integration of Deep Learning Backends. CoRR abs/2111.00655 (2021) - 2020
- [c4]Sunghyun Park, Shikai Li, Ze Zhang, Scott A. Mahlke:
Low-cost prediction-based fault protection strategy. CGO 2020: 30-42 - [c3]Ze Zhang, Sunghyun Park, Scott A. Mahlke:
Path Sensitive Signatures for Control Flow Error Detection. LCTES 2020: 62-73
2010 – 2019
- 2019
- [j1]Sunghyun Park, Youfeng Wu, Janghaeng Lee, Amir Aupov
, Scott A. Mahlke:
Multi-objective Exploration for Practical Optimization Decisions in Binary Translation. ACM Trans. Embed. Comput. Syst. 18(5s): 57:1-57:19 (2019) - 2018
- [c2]Sunghyun Park, Shikai Li, Scott A. Mahlke:
Low Cost Transient Fault Protection Using Loop Output Prediction. DSN Workshops 2018: 109-113 - [c1]Shikai Li, Sunghyun Park, Scott A. Mahlke:
Sculptor: Flexible Approximation with Selective Dynamic Loop Perforation. ICS 2018: 341-351
Coauthor Index
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last updated on 2024-08-16 00:41 CEST by the dblp team
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