KIAS CAC
High-Performance Computing for Research Excellence

Center for
Advanced Computation

KIAS CAC provides high-performance computing resources and technical support for cutting-edge research in mathematics, physics, computational science, and AI.

1,609
Running Jobs
645
Waiting Jobs
13,308
Total Cores
360
Compute Nodes
Real-time Monitoring

System Status

Monitor the current status of our high-performance computing clusters. Data is updated every 10 minutes.

ADA

5 nodes / 320 cores

Healthy
CPU Usage 16.3%
1 nodes up
52 / 320
13 running
36 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 81.0%
71 / 1 down
5,858 / 7,232
398 running
521 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 8.7%
11 nodes up
25 / 288
2 running
1 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 60.2%
5 nodes up
501 / 832
53 running
72 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 55.2%
46 nodes up
1,048 / 1,900
942 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 21.0%
18 nodes up
227 / 1,080
151 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 70.4%
65 nodes up
1,166 / 1,656
50 running
13 pending
Publications

Recent Research

Latest publications from CAC researchers

Computational Material Science 2026

High photovoltaic efficiency in bulk-stacked one-dimensional GeSe <sub>2</sub> van der Waals crystal

Seoung-Hun Kang, Youngjae Kim, Bo Gyu Jang, Sejoong Kim

Journal of Materials Chemistry A

AI, Bioinformatics 2026

Evaluating BioEmu-GeneratedKinase Ensembles RevealsStructure Selection as the Virtual Screening Bottleneck

Jaeoh Shin, Keehyoung Joo, Jejoong Yoo

Journal of Chemical Informationand Modeling

Circadian rhythm, Bifurcation, Stochastic Thermodynamics, Chaos & Nonlinear dynamics 2026

Physical constraints on the rhythmicity of the biological clock

YeongKyu Lee, Changbong Hyeon

Physical Review Research