CU e-Science HTC-HPC Cluster and Cloud
  • CU e-Science HTC-HPC Cluster and Cloud
  • Introduction to our cluster
    • Our resources
    • Registration
    • Login to our cluster
    • Disk space
    • Acknowledgement and Publication
  • Slurm
    • 101: How to submit Slurm batch jobs
    • 101: Interactive jobs with Slurm
    • Basic Slurm commands
    • QoS and Partition
    • Job priority
    • Available complier and software
    • Examples
      • Simple C, C++, Python program
      • Python with VirtualEnv
      • How do I submit a large number of very similar jobs?
      • CMSSW
      • R
      • Mathematica
      • Message Passing Interface (MPI)
  • Kubenetes
    • Under construction!
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CU e-Science HTC-HPC Cluster and Cloud

Joint collaboration between Department of Physics, Faculty of Science and Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University.

NextOur resources

Last updated 5 months ago

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The CU e-Science cluster is a part of the National e-Science Infrastructure Consortium. Our cluster serves both CU and external users. Currently, we provide

  1. Slurm cluster: Jobs can be run in interactive and batch modes. You can see examples of how to use the cluster in section SLURM. Currently, Centos 7 is the main operating system for both frontend and worker nodes.

  2. Kubernetes: Online for CU users.

CU e-Science cluster, MHMK Building, Faculty of Science, Chulalongkorn University