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.

1,233
Running Jobs
1,939
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 0.0%
5 nodes up
0 / 320
0 running
2 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 45.1%
76 / 1 down
3,265 / 7,232
157 running
1752 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 14.6%
6 nodes up
42 / 288
8 running
1 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 42.7%
4 nodes up
355 / 832
55 running
172 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 82.5%
38 nodes up
1,568 / 1,900
890 running
5 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 44.3%
20 nodes up
478 / 1,080
109 running
3 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 94.9%
62 nodes up
1,571 / 1,656
14 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