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.

1,403
Running Jobs
360
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 57.5%
1 nodes up
184 / 320
20 running
13 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 89.2%
86 / 1 down
6,449 / 7,232
256 running
235 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 46.2%
8 nodes up
133 / 288
17 running
14 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 45.5%
2 nodes up
379 / 832
60 running
87 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 87.8%
40 nodes up
1,668 / 1,900
918 running
6 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 25.2%
19 nodes up
272 / 1,080
119 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 73.2%
56 nodes up
1,212 / 1,656
13 running
4 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