Sangwon Lee

According to our database, Sangwon Lee authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance.

Seungkwan Kang, Seungjun Lee, Donghyun Gouk, Miryeong Kwon, Hyunkyu Choi, Junhyeok Jang, Sangwon Lee, Huiwon Choi, Jie Zhang, Wonil Choi, Mahmut Taylan Kandemir, Myoungsoo Jung

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

CXL Topology-Aware and Expander-Driven Prefetching: Unlocking SSD Performance.

Dongsuk Oh, Miryeong Kwon, Jiseon Kim, Eunjee Na, Junseok Moon, Hyunkyu Choi, Seonghyeon Jang, Hanjin Choi, Hongjoo Jung, Sangwon Lee, Myoungsoo Jung

CoRR, May, 2025

Compute Express Link Topology-Aware and Expander-Driven Prefetching: Unlocking Solid-State Drive Performance.

Dongsuk Oh, Miryeong Kwon, Jiseon Kim, Eunjee Na, Junseok Moon, Hyunkyu Choi, Seonghyeon Jang, Hanjin Choi, Hongjoo Jung, Sangwon Lee, Myoungsoo Jung

IEEE Micro, 2025

CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies.

Donghyun Gouk, Seungkwan Kang, Seungjun Lee, Jiseon Kim, Kyungkuk Nam, Eojin Ryu, Sangwon Lee, Dongpyung Kim, Junhyeok Jang, Hanyeoreum Bae, Myoungsoo Jung

IEEE Micro, 2025

2024

Breaking Barriers: Expanding GPU Memory with Sub-Two Digit Nanosecond Latency CXL Controller.

Donghyun Gouk, Seungkwan Kang, Hanyeoreum Bae, Eojin Ryu, Sangwon Lee, Dongpyung Kim, Junhyeok Jang, Myoungsoo Jung

Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems, 2024

2023

Failure Tolerant Training With Persistent Memory Disaggregation Over CXL.

Miryeong Kwon, Junhyeok Jang, Hanjin Choi, Sangwon Lee, Myoungsoo Jung

IEEE Micro, 2023

Memory Pooling With CXL.

Donghyun Gouk, Miryeong Kwon, Hanyeoreum Bae, Sangwon Lee, Myoungsoo Jung

IEEE Micro, 2023

Cache in Hand: Expander-Driven CXL Prefetcher for Next Generation CXL-SSD.

Miryeong Kwon, Sangwon Lee, Myoungsoo Jung

Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, 2023

2022

PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks.

Donghyun Gouk, Seungkwan Kang, Miryeong Kwon, Junhyeok Jang, Hyunkyu Choi, Sangwon Lee, Myoungsoo Jung

IEEE Comput. Archit. Lett., 2022

Direct Access, High-Performance Memory Disaggregation with DirectCXL.

Donghyun Gouk, Sangwon Lee, Miryeong Kwon, Myoungsoo Jung

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

LightPC: hardware and software co-design for energy-efficient full system persistence.

Sangwon Lee, Miryeong Kwon, Gyuyoung Park, Myoungsoo Jung

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Large-scale Graph Neural Network Services through Computational SSD and In-Storage Processing Architectures.

Miryeong Kwon, Donghyun Gouk, Sangwon Lee, Myoungsoo Jung

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs.

Miryeong Kwon, Donghyun Gouk, Sangwon Lee, Myoungsoo Jung

Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

2020

TensorPRAM: Designing a Scalable Heterogeneous Deep Learning Accelerator with Byte-addressable PRAMs.

Sangwon Lee, Gyuyoung Park, Myoungsoo Jung

Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020