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ucr_hpcc_cluster

Connect to the UCR HPCC cluster and submit SLURM jobs.

2|Updated Mar 20, 2026
Search Tags:#gpu#ssh#module#cluster#hpc#slurm#hpcc
One-click install
npx skills add https://github.com/Gonglitian/agent-skills --skill ucr-hpcc-cluster
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ucr_hpcc_cluster
Source: https://github.com/Gonglitian/agent-skills/tree/main/skills/ucr_hpcc_cluster
Command: npx skills add https://github.com/Gonglitian/agent-skills --skill ucr-hpcc-cluster

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a consolidated set of commands, templates, and aliases to help researchers connect to the UCR HPCC cluster, submit and monitor jobs, manage software modules, and organize data storage efficiently.

Core Features & Use Cases

  • SSH-based login, Open OnDemand web access, and SLURM job submission templates for CPU and GPU workloads.
  • Module management and quick-reference storage guidance to streamline software environments and data organization.
  • Prebuilt templates for common workflows (interactive sessions, array/multi-node jobs, and GPU deployments) to accelerate HPC tasks and reproducibility.

Quick Start

Configure your shell to load the HPCC helpers and aliases, then start an interactive session or submit a sample job.

Frequently Asked Questions about ucr_hpcc_cluster

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I submit a SLURM job to the UCR HPCC cluster?▼

To submit a SLURM job to the UCR HPCC cluster, use the provided prebuilt templates for CPU, GPU, interactive sessions, or array jobs. These templates streamline HPC task submission and accelerate reproducibility for researchers and students.

How do I manage software modules on the HPCC cluster?▼

Manage software modules on the HPCC cluster using the provided CLI aliases and quick-reference storage guidance. This streamlines software environments and organizes data efficiently across home and bigdata directories for SLURM-based workloads.

Can I run GPU deployments on the UCR HPCC?▼

Yes, you can run GPU deployments on the UCR HPCC using prebuilt SLURM submission templates designed specifically for GPU workloads. These templates help accelerate HPC tasks and ensure reproducible software environments via module management.

What is the best way to access the UCR HPCC cluster for interactive sessions?▼

The best way to access the UCR HPCC cluster for interactive sessions is through SSH-based login or Open OnDemand web access. You can configure your shell with HPCC helpers and aliases to quickly start interactive SLURM sessions.

How should I organize data storage across home and bigdata directories on the HPC cluster?▼

Organize data storage on the HPC cluster by utilizing the quick-reference storage guidance provided. This helps researchers efficiently manage data across home and bigdata directories while running SLURM-based workloads and module environments.

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