Seojune Lee

EECS Undergrad at Seoul National Univ.

I am an undergraduate student majoring in Electrical and Computer Engineering at Seoul National University. My primary academic interest lies in bridging the gap between deep learning algorithms and computer architecture. Specifically, I am exploring the development of time- and energy-efficient deep learning algorithms through hardware-aware design. Additionally, I am interested in domain-specific hardware design, such as neural network accelerator. You can find more information in this link.

This blog, which I coded from scratch, serves as an archive where I organize and share insights gained from recent learning endeavors. My posts commonly include summaries of recent deep learning research papers, tech books, or online lectures, and may be either in English or in Korean. Click here to explore my latest posts.


Recent Posts

LUT Tensor Core

Aug. 5, 2025 · 7 min read · 🌐︎ en/ko

architecture paper review MLSys GPU quantization
Solving Triton Puzzles

July 30, 2025 · 3 min read · 🌐︎ en

GPU
Consistency Models

Feb. 2, 2025 · 6 min read · 🌐︎ en

deep learning paper review generative
Optimizing CUDA Matrix Multiplication: From Tiling to Tensor Cores

Dec. 22, 2024 · 7 min read · 🌐︎ en/ko

CUDA GPU
More Posts →

Updates

Jun. 2025

I earned the Presidential Science Scholarship of Korea.

Jan. 2025

I joined VLSI Lab, SNU.

Sep. 2024

I completed 18 months of military service and returned to SNU.

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