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.

1,583
Running Jobs
294
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 68.8%
1 nodes up
220 / 320
34 running
4 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 89.5%
92 / 1 down
6,472 / 7,232
345 running
167 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 53.1%
6 nodes up
153 / 288
22 running
3 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 23.8%
0 nodes up
198 / 832
43 running
104 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 55.6%
49 nodes up
1,057 / 1,900
963 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 36.6%
18 nodes up
395 / 1,080
161 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 67.5%
54 nodes up
1,118 / 1,656
15 running
14 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