KAIST EPIC Lab

Welcome to EPIC LAB at KAIST EE

Embedded Processor & Intelligent Computing (EPIC) Lab is a research group in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. With a passionate team, EPIC Lab develops optimized hardware/software building blocks for modern application-specific embedded processors targeting a wide range of intelligent computing workloads.

Our research spans cross-disciplinary topics including algorithms, architectures, and system-on-chip (SoC) designs. Current focus areas include advanced deep learning processors for compressed machine learning models, high-performance baseband processors for next-generation communication systems, and energy-efficient IoT platforms for human-centric applications.

Latest News

[2026/03] Our paper entitled "CL-PLAC: A generalized design framework for nonlinear functions using comparator-less piecewise linear approximate computation" has been accepted for publication in the IEEE Transactions on Circuits and Systems for Artificial Intelligence.

[2026/02] Our paper entitled "Asymmetric KV cache compression using state-aware sparsity and quantization" has been accepted for publication in the IEEE Transactions on Circuits and Systems for Artificial Intelligence.

[2026/01] Our paper entitled "Memory-efficient partially self-corrected min-sum LDPC decoder for 5G NR applications" has been accetped for presentation at the 2026 IEEE International Symposium on Circuits and Systems (ISCAS 2026).

[2026/01] Our paper entitled "Memory-efficient twiddle factor generator in parallel NTT accelerators for FHE applications" has been accetped for presentation at the 2026 IEEE International Symposium on Circuits and Systems (ISCAS 2026).

[2026/01] Our paper entitled "Low-latency software-defined 5G NR PUSCH receiver with mixed-precision SIMD acceleration" has been accetped for presentation at the 2026 IEEE International Symposium on Circuits and Systems (ISCAS 2026).

[2026/01] Our paper entitled "A parametric power model of upper mid-band (FR3) base stations for 6G" has been accepted for presentation at the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026).