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.

2,439
Running Jobs
376
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 33.8%
1 nodes up
108 / 320
18 running
191 pending

GRAMMAR

113 nodes / 7,232 cores

Healthy
CPU Usage 97.2%
94 nodes up
7,029 / 7,232
1081 running
136 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 45.1%
2 nodes up
130 / 288
33 running
3 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 36.9%
1 nodes up
307 / 832
66 running
40 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 58.1%
71 nodes up
1,104 / 1,900
1019 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 48.5%
18 nodes up
524 / 1,080
211 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 42.9%
52 nodes up
711 / 1,656
11 running
4 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