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.

1,560
Running Jobs
303
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 16.9%
2 nodes up
54 / 320
8 running
3 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 61.1%
80 nodes up
4,417 / 7,232
253 running
153 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 48.6%
2 nodes up
140 / 288
21 running
21 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 34.3%
0 nodes up
285 / 832
61 running
115 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 60.3%
39 nodes up
1,145 / 1,900
1035 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 44.5%
18 nodes up
481 / 1,080
168 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 92.2%
67 nodes up
1,526 / 1,656
14 running
9 pending
Publications

Recent Research

Latest publications from CAC researchers

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

High-energy phenomenology 2026

Celestial probes of dark matter electromagnetic interactions

Ibarra, A., Reichard, M., Tomar, G.