⚙️ Computing Resources Overview

The laboratory operates a high-performance computing (HPC) infrastructure designed to support large-scale numerical simulations, machine learning, and data-intensive research.

🔷 CPU Resources

• Total CPU Cores: approximately 1,136 – 1,408 cores

Large-scale clusters: ~724 – 996 cores

• High-performance nodes: ~392 cores

• Single-node systems: ~48 cores

👉 Suitable for large-scale parallel computing (MPI/OpenMP), including CFD and scientific simulations.

🚀 GPU Resources

• Total GPUs: 15 units

GPU Configuration

• NVIDIA A6000 Ada: 2 units

• NVIDIA RTX 3090: 1 unit

• NVIDIA Tesla P100: 5 units

• NVIDIA Titan XP: 5 units

• NVIDIA Tesla K40 (test/legacy): 2 units

🧠 Memory Resources

• High-memory nodes:

  • 128 GB RAM × 1

  • 256 GB RAM × 1

💾 Storage System

• Centralized storage via NAS and data server

• Supports data sharing, backup, and long-term storage

🔍 Summary

• CPU: ~1,100+ cores for large-scale parallel computing

• GPU: 15 units ranging from A6000 Ada to legacy K40