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.

1,640
Running Jobs
1,053
Waiting Jobs
13,308
Total Cores
360
Compute Nodes

Maintenance Schedule

Full Schedule →
NETWORK Scheduled

방화벽 업데이트로 인한 클러스터 시스템 접속 불가 System access unavailable due to firewall upgrade

Feb 13, 2026 10:00- 12:00 KST
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 60.0%
0 nodes up
192 / 320
24 running
3 pending

GRAMMAR

113 nodes / 7,232 cores

Healthy
CPU Usage 81.4%
103 nodes up
5,885 / 7,232
197 running
60 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 0.0%
12 nodes up
0 / 288
0 running
0 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 54.3%
2 nodes up
452 / 832
70 running
118 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 58.9%
34 nodes up
1,119 / 1,900
1062 running
2 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 29.8%
18 nodes up
322 / 1,080
246 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 87.9%
67 nodes up
1,456 / 1,656
41 running
869 pending
Publications

Recent Research

Latest publications from CAC researchers

High-energy phenomenology 2026

Celestial probes of dark matter electromagnetic interactions

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

Computational Material Science 2026

Super moiré domain tessellations, sliding ferroelectricity, and reconfigurable quantum dot arrays in twisted trilayer hexagonal boron nitride

Kunihiro Yananose, Changwon Park, Young-Woo Son

Physical Review B

Particle Physics 2026

Strong First-Order Electroweak Phase Transitions and Gravitational Waves in the Normal Two-Higgs-Doublet Model: A Comparative Study of the Four Yukawa Types and Thermal Resummation Schemes

Jin-Hwan Cho, Dongjoo Kim, Jinheung Kim, Soojin Lee, Jeonghyeon Song