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.

1,520
Running Jobs
397
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 31.3%
0 nodes up
100 / 320
24 running
3 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 86.5%
58 / 1 down
6,257 / 7,232
344 running
248 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 63.5%
10 nodes up
183 / 288
12 running
0 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 27.4%
2 nodes up
228 / 832
50 running
129 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 84.0%
39 nodes up
1,596 / 1,900
930 running
2 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 22.8%
18 nodes up
246 / 1,080
132 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 99.3%
68 nodes up
1,644 / 1,656
28 running
14 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