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2020 – today
- 2024
[c7]Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, Yongjun Park:
Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. DATE 2024: 1-6- 2023
- [c6]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 - 2020
- [c5]Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, Jiwon Seo:
Convergence-Aware Neural Network Training. DAC 2020: 1-6 - [c4]Jeongmyung Lee, Seokwon Kang
, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park:
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE 2020: 925-936
2010 – 2019
- 2019
- [c3]Seokwon Kang, Yongseung Yu, Jiho Kim, Yongjun Park:
GATE: A Generalized Dataflow-level Approximation Tuning Engine For Data Parallel Architectures. DAC 2019: 24 - [c2]Yongseung Yu, Seokwon Kang, Yongjun Park:
A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper). LCTES 2019: 193-197 - 2018
- [c1]Yongseung Yu, Seokwon Kang, Yongjun Park:
Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation. TENCON 2018: 1520-1524
Coauthor Index
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