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.

1,484
Running Jobs
264
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

Warning
CPU Usage 50.0%
1 / 1 down
160 / 320
16 running
5 pending

GRAMMAR

113 nodes / 7,232 cores

Warning
CPU Usage 77.7%
44 / 1 down
5,620 / 7,232
309 running
162 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 16.7%
12 nodes up
48 / 288
2 running
0 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 26.1%
3 nodes up
217 / 832
46 running
85 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 86.3%
39 nodes up
1,640 / 1,900
953 running
2 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 44.0%
18 nodes up
475 / 1,080
142 running
3 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 85.6%
57 nodes up
1,418 / 1,656
16 running
7 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