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.

1,711
Running Jobs
335
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 30.0%
0 nodes up
96 / 320
18 running
3 pending

GRAMMAR

113 nodes / 7,232 cores

Healthy
CPU Usage 84.9%
89 nodes up
6,143 / 7,232
312 running
192 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 41.7%
4 nodes up
120 / 288
15 running
9 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 28.0%
3 nodes up
233 / 832
55 running
114 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 62.8%
77 nodes up
1,194 / 1,900
1115 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 45.6%
18 nodes up
492 / 1,080
179 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 93.8%
67 nodes up
1,554 / 1,656
17 running
15 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.