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.

2,149
Running Jobs
181
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 37.5%
0 nodes up
120 / 320
24 running
3 pending

GRAMMAR

113 nodes / 7,232 cores

Healthy
CPU Usage 86.7%
81 nodes up
6,269 / 7,232
867 running
123 pending

LEXICON

12 nodes / 288 cores

Healthy
CPU Usage 19.4%
8 nodes up
56 / 288
7 running
0 pending

SYNTAX

13 nodes / 832 cores

Healthy
CPU Usage 42.0%
3 nodes up
349 / 832
59 running
53 pending

BAEKDU

95 nodes / 1,900 cores

Healthy
CPU Usage 56.4%
62 nodes up
1,072 / 1,900
1001 running
1 pending

DNA

53 nodes / 1,080 cores

Healthy
CPU Usage 45.8%
18 nodes up
495 / 1,080
182 running
1 pending

RNA

69 nodes / 1,656 cores

Healthy
CPU Usage 36.4%
66 nodes up
602 / 1,656
9 running
0 pending
Publications

Recent Research

Latest publications from CAC researchers

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

Circadian rhythm, Bifurcation, Stochastic Thermodynamics, Chaos & Nonlinear dynamics 2026

Physical constraints on the rhythmicity of the biological clock

YeongKyu Lee, Changbong Hyeon

Physical Review Research

High-energy phenomenology 2026

Celestial probes of dark matter electromagnetic interactions

Ibarra, A., Reichard, M., Tomar, G.