Daeyoung Park

I’m Daeyoung Park, a PhD. candidate in Computer Science and Engineering from Seoul National University.

Research Areas

Quantum Software: quantum circuit simulation and quantum programming environment
Deep Learning Systems: parallelization and optimization of deep learning algorithm
Programming Systems for Heterogeneous Machines: code and system optimization for GPU architectures

PhD. candidate in Computer Science and Engineering, Seoul National University, 2020-Current
M.S. in Computer Science and Engineering, Seoul National University, 2020
B.A. in Sociology and B.S. in Computer Science and Engineering, Seoul National University, 2018

[ICS] Daeyoung Park, Heehoon Kin, Jinpyo Kim, Taehyun kim, and Jaejin Lee. SnuQS: Scaling Quantum Circuit Simulation using Storage Devices. ICS ‘22: Proceedings of the ACM International Conference on Supercomputing, to appear, Online, June 2022. DOI: 10.1145/3524059.3532375.
[HPDC] Jaehoon Jung, Daeyoung Park, Gangwon Jo, Jungho Park, and Jaejin Lee. SnuRHAC: A Runtime for Heterogeneous Accelerator Clusters with CUDA Unified Memory. HPDC ‘21: Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing, pp. 107—120, Online, June 2021. DOI: 10.1145/3431379.3460647
[PPoPP] Jaehoon Jung, Daeyoung Park, Youngdong Do, Jungho Park, and Jaejin Lee. Overlapping Host-to-Device Copy and Computation using Hidden Unified Memory. PPoPP ‘20: Proceedings of the 25th Symposium on Principles and Practice of Parallel Programming, pp. 321—335, San Diego, California, USA, February 2020. DOI: 10.1145/3332466.3374531
[IISWC] Youngdong Do, Hyungmo Kim, Pyeongseok Oh, Daeyoung Park, and Jaejin Lee. SNU-NPB 2019: Parallelizing and Optimizing NPB in OpenCL and CUDA for Modern GPUs. IISWC ‘19: Proceedings of the 2019 IEEE International Symposium on Workload Characterization, Orlando, Florida, USA, November 2019. DOI: 10.1109/IISWC47752.2019.9041954

Accelerator Programming Winter School (Seoul National University, 2023 Summer)
Scalable High-Performance Computing (Seoul National University, 2023 Spring)
Accelerator Programming Winter School (Seoul National University, 2023 Winter)
Scalable High-Performance Computing (Seoul National University, 2022 Fall)
Parallel Computing (Samsung Electronics System Expert/Architect, 2023 Spring, 2022 Spring, 2021 Spring)
Introduction to Quantum Computing and Information (Seoul National University, 2020 Fall)
Programming Practice (Seoul National University, 2019 Spring)
Accelerator Programming Summer School (Seoul National University, 2018 Summer)