Hyunwuk Lee

Orcid: 0009-0000-2643-3435

According to our database1, Hyunwuk Lee authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DeSpa: Heterogeneous multi-core accelerators for energy-efficient dense and sparse computation at the tile level in Deep Neural Networks.
J. Syst. Archit., 2026

2025
REC: Enhancing fine-grained cache coherence protocol in multi-GPU systems.
J. Syst. Archit., 2025

BitL: A Hybrid Bit-Serial and Parallel Deep Learning Accelerator for Critical Path Reduction.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

COSMOS: An LLC Contention Slowdown Model for Heterogeneous Multi-Core Systems.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

Adversarial Purification via Super-Resolution and Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Ditto: Accelerating Diffusion Model via Temporal Value Similarity.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

CVMAX: Accelerator Architecture with Polar Form Multiplication for Complex-Valued Neural Networks.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
SHREG: Mitigating register redundancy in GPUs.
J. Syst. Archit., 2024

GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models.
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

2023
Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2021
Chapter Six - Deep learning with GPUs.
Adv. Comput., 2021


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