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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
[SSE3021 Digital Integrated Circuit Design] Schematic and Layout Design of 16x16bit 6T SRAM
This is the report submitted to Digital Integrated Circuit Design course (2026 Spring semester SSE3021, SKKU).
[SSE3021 Digital Integrated Circuit Design] Schematic and Layout Design of 16bit Sklansky Adder
This is the report submitted to Digital Integrated Circuit Design course (2026 Spring semester SSE3021, SKKU).
[Project] CUDA Matrix Multiplication Implementation and Optimization
Implemented and optimized CUDA kernels for scaled dot-product attention, attention linear projection, and Q/K/V projection.
[ISOCC 2025] LLM on FPGA: Squeezing Language Models by Quantization and Multi-Query Attention and Its Efficient Hardware Architecture
Delighted to share that my research has been accepted to an oral session of ISOCC 2025 – 22th International SoC Design Conference! (presented on October 16, 2025)
[tape-out project] quantized BC-ResNet models for keyword spotting and speaker verification
This post details the design and implementation of a quantized BC-ResNet-based neural network accelerator for keyword spotting (KWS) and speaker verification (SV), culminating in a successful ASIC tape-out using Samsung’s 28 nm LPP process. The project demonstrates a hardware–software co-design approach, achieving low power consumption and high accuracy for edge audio intelligence applications.
[project] Senior Year Capstone Design : Front-end and Back-end Design of Digital CNN Accelerator for SubPixel Rendering Algorithm
This project was carried out as a Senior Capstone Design from March to June 2025. It received the Engineering Innovation Prize at the SKKU Senior Capstone Design Contest 2025. I served as the team leader, and my teammates were Somin Kang, Miri Kim, and Jaehwan Shin.
[tape-out project] CNN-based keyword spotting system with framewise incremental computation
This project describes the design and implementation of a CNN-based keyword spotting system, including algorithm selection, RTL design, logic synthesis, and place-and-route for tape-out submission.
[Project] Smart Factory Capstone Design : Rotor Fault Diagnosis Method Based on 1D-CNN LSTM
This paper presents a fault diagnosis method for rotating machinery using a 1D-CNN LSTM architecture. The proposed model effectively captures temporal and frequency-domain features from vibration data, achieving high diagnostic accuracies for various fault types. The study emphasizes the importance of early fault detection in manufacturing environments to prevent downtime and enhance efficiency.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Rotor Fault Diagnosis Method Based on 1D-CNN LSTM
Published in 2023 O2O Integrated Conference of the Institute of Internet, Broadcasting and Communication, 2023
Method for Rotor Failure Detection Based on Artificial Intelligence
Published in Korean Patent 10-2024-0008103, 2024
LLM on FPGA: Squeezing Language Models by Quantization and Multi-Query Attention and Its Efficient Hardware Architecture
Published in 22nd International SoC Design Conference (ISOCC), 2025
RUAH: A Reconfigurable Unified Acoustic Processor with Hierarchical Inference for Keyword Spotting and Speaker Verification
Published in 2026 IEEE 52nd European Solid-State Electronics Research Conference (ESSERC), 2026
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.