Admission:

2023 Fall

Research:

AI Chip Design, PIM/PNM

Contact:

injun@kaist.ac.kr

Ph.D. Student

In-Jun Jung

Conference Papers


HLX: A Unified Pipelined Architecture for Optimized Performance of Hybrid Transformer-Mamba Language Models

In-Jun Jung, Gyeongrok Yang, Jaeha Min, Joo-Young Kim
ACM/IEEE International Symposium on Microarchitecture (MICRO), 2025

D3TA: 38.9TOPS/W Transformer Accelerator with Dual-Port 3T-eDRAM Digital Compute-In-Memory Using HyperAttention and Triple-Sparsity-Handling
Donghyuk Kim*, In-Jun Jung*, Geonwoo Ko, Seri Ham, Cuong Duong Manh, Gyeongrok Yang, Joo-Young Kim (*equal contribution)
European Solid-State Electronics Research Conference(ESSERC), 2025

NOVA: Technology-Architecture Co-Design of Near-Memory Processing for Attention-SSM-MoE Hybrid LLM Inference
In-Jun Jung*, Jaeha Min*, Joo-Young Kim (*equal contribution)
ACM/IEEE International Symposium on Microarchitecture (MICRO), 2026

Journal Papers

A Charge-Domain 4T2C eDRAM Compute-In-Memory Macro with Enhanced Variation Tolerance and Low-Overhead Data Conversion Schemes
In-Jun Jung, Do Han Kim, Minyoung Jo, Dong Han Ko, Youngkyu Lee, and Seong-Ook Jung
IEEE Transactions on Circuits and Systems II: Express Briefs, 2023

An Offset-Canceled Sense Amplifier for DRAMs with Hidden Offset-Cancellation Time and Boosted Internal-Voltage-Difference
In-Jun Jung, Tae-Hyun Kim, Keonhee Cho, Kiryong Kim, Seong-Ook Jung
IEEE Transactions on Circuits and Systems II: Express Briefs, 2023