AISys Lab. ECE, Seoul National University

Search for Seongyeon Park's papers on the Publications page

I am a graduate student in the Department of Electrical and Computer Engineering at Seoul National University. My research interests are accelerating applications (e.g., bioinformatics, graph processing) with GPUs.


Publication

PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search
Sukjin Kim, Seongyeon Park, Junguk Hong, Hunseong Lim, Si Ung Noh, Taehee Kwon, Jinho Lee
USENIX Annual Technical Conference (USENIX ATC)   ·   Jul 2025   ·   To appear
G³SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment
G³SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment
Yeejoo Han, Sunwoo Kim, Seongyeon Park, Jinho Lee
International Conference on Supercomputing (ICS)   ·   Jun 2025   ·   To appear
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMMs
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMMs
Si Ung Noh1, Junguk Hong1, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
International Symposium on Computer Architecture (ISCA)   ·   Jul 2024   ·   10.1109/ISCA59077.2024.00027
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
ACM Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)   ·   Feb 2024   ·   10.1145/3627535.3638474
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim
Proceedings of the ACM on Management of Data   ·   Jun 2023   ·   10.1145/3589258
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)   ·   May 2022   ·   10.1109/IPDPS53621.2022.00076

Teaching Experience