$$ \Huge \textbf {Chan Lee} \\ \newline \small Graduate \space Student - South \space Korea $$
Hello there! My name is Chan Lee, and I am a graduate student at the Compiler Research Laboratory (Corelab) at Yonsei University, Seoul, South Korea.
I have a research interest in processing-in-memory (PIM), compiler optimization, and approximate computing, with a particular focus on advancing PIM architectures through innovative optimization techniques. My current work focuses on improving the efficiency of PIM systems by minimizing data movement overhead, optimizing memory access patterns, and refining computational models to enable effective in-memory execution. By integrating compiler-driven strategies and approximation methods, I aim to maximize the performance and energy efficiency of PIM architectures, making them more suitable for high-performance applications in domains like LLM, Deep Learning.
🗺️ Seoul, Korea
http://corelab.or.kr/CV/chan-full.pdf
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https://embed.notionlytics.com/wt/ZXlKM2IzSnJjM0JoWTJWVWNtRmphMlZ5U1dRaU9pSk9NRXRyTW5KbmFsaE5hR3BUV0dsM05FUnhVU0lzSW5CaFoyVkpaQ0k2SWpGaU1ETXdaR1EzWWpCak1qZ3dPVGhoTkRNNFl6QXhNVEExTURabE9XWXdJbjA9
M.S./Ph.D. Student, Advisor: Prof. Hanjun Kim
Research Project: “Compiler Optimization for Processing-in-Memory”
Bachelor’s Degree in Electrical and Electronic Engineering
Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea
Compiler Research Laboratory (Corelab), Yonsei University, Seoul, Republic of Korea
Contest on “Optimized Neuron Kernel Interface (NKI) Implementation on Llama 3.2 1B (Inference)”