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.

1,538
Running Jobs
284
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 52.5%
0 nodes up
168 / 320
22 running
38 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 84.7%
80 / 1 down
6,125 / 7,232
389 running
168 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 8.7%
11 nodes up
25 / 288
2 running
1 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 17.6%
4 nodes up
146 / 832
28 running
66 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 53.2%
43 nodes up
1,011 / 1,900
934 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 20.7%
18 nodes up
224 / 1,080
148 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 84.1%
64 nodes up
1,392 / 1,656
15 running
9 pending
Publications

Recent Research

Latest publications from CAC researchers

Cosmology 2026

Morphological signatures of gravitational evolution, redshift-space distortions, and massive neutrinos in large-scale structure

Priya Goyal, Stephen Appleby, Pravabati Chingangbam, Changbom Park

Journal of Cosmology and Astroparticle Physics

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