HPC
Cluster Setup & Management is the holistic lifecycle of owning a supercomputer. It combines the
initial "Build" phase with the ongoing "Run" phase.
While System
Integration focuses on the physical wiring and initial burn-in, Cluster
Management focuses on the software layer that keeps the system usable for scientists day after day. It answers the question: "How
do I ensure Node 500 has the exact same Python version as Node 1, and how do I
prevent User A from crashing the system for User B?"
Here is the
detailed breakdown of the setup philosophy (Infrastructure as Code), the
management pillars, and the toolset, followed by the downloadable Word file.
1. The
Setup Philosophy: Infrastructure as Code (IaC)
In the
past, admins manually installed software on servers. In modern HPC, this is
forbidden. We treat servers like cattle, not pets.
2. The
Management Pillars
A.
Workload Management (The Scheduler)
The heart
of the cluster is the Scheduler (usually Slurm).
Setting it up is an art form.
B. User Management
C. High Availability (HA)
3. The
"Day 2" Operations
Once the
cluster is set up, the real work begins.
4. Key Applications & Tools
|
Category |
Tool |
Usage |
|
Scheduler |
Slurm |
The
industry standard for scheduling jobs and managing resources. |
|
Provisioning |
Warewulf / xCAT |
Manages
the OS images and PXE booting of compute nodes. |
|
Config Mgmt |
Ansible |
Automates
software installation and configuration updates across the cluster. |
|
Environment |
Lmod |
Manages
user software environments (Modules) dynamically. |
|
Monitoring |
Prometheus + Grafana |
visualizes
CPU temps, load, and queue status in real-time. |
|
Health |
NHC (Node Health Check) |
Prevents
jobs from starting on broken nodes. |