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.

1,421
Running Jobs
359
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 50.0%
2 nodes up
160 / 320
5 running
6 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 89.5%
85 / 2 down
6,469 / 7,232
301 running
234 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 72.6%
11 nodes up
209 / 288
13 running
3 pending

SYNTAX

13 nodes / 832 cores

Warning
CPU Usage 37.0%
1 / 1 down
308 / 832
51 running
103 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 87.1%
40 nodes up
1,655 / 1,900
924 running
6 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 21.2%
18 nodes up
229 / 1,080
115 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 79.5%
55 nodes up
1,316 / 1,656
12 running
6 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