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.

1,620
Running Jobs
522
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 46.9%
0 nodes up
150 / 320
27 running
18 pending

GRAMMAR

113 nodes / 7,232 cores

Healthy
CPU Usage 70.7%
79 nodes up
5,113 / 7,232
339 running
168 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 29.2%
9 nodes up
84 / 288
9 running
4 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 40.9%
0 nodes up
340 / 832
75 running
319 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 58.2%
44 nodes up
1,106 / 1,900
993 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 44.2%
18 nodes up
477 / 1,080
164 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 82.8%
66 nodes up
1,372 / 1,656
13 running
11 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