Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation. - Yongseung Yu; Seokwon Kang; Yongjun Park 001 (TENCON, 2018)

GATE: A Generalized Dataflow-level Approximation Tuning Engine For Data Parallel Architectures. - Seokwon Kang; Yongseung Yu; Jiho Kim; Yongjun Park 001 (DAC, 2019)

A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper). - Yongseung Yu; Seokwon Kang; Yongjun Park 001 (LCTES, 2019)

PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems. - Seokwon Kang; Kyunghwan Choi; Yongjun Park 001 (CGO, 2020)

Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. - Jeongmyung Lee; Seokwon Kang; Yongseung Yu; Yong-Yeon Jo; Sang-Wook Kim; Yongjun Park 001 (ICDE, 2020)

A Novel Procedure of Enhancing the Throughput of a Mode-2 Sidelink Based on Partial Sensing. - Seokwon Kang; Seungwon Choi (Sensors, 2021)

Networked SSD: Flash Memory Interconnection Network for High-Bandwidth SSD. - Jiho Kim; Seokwon Kang; Yongjun Park 001; John Kim 001 (MICRO, 2022)

Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. - Taehyeong Park 001; Seokwon Kang; Myung-Hwan Jang; Sang-Wook Kim; Yongjun Park 001 (ICDE, 2023)

ISP Agent: A Generalized In-storage-processing Workload Offloading Framework by Providing Multiple Optimization Opportunities. - Seokwon Kang; Jongbin Kim; Gyeongyong Lee; Jeongmyung Lee; Jiwon Seo 002; Hyungsoo Jung 001; Yong Ho Song; Yongjun Park 001 (ACM Trans. Archit. Code Optim., 2024)