Easley User’s Guide

• Introduction
  • About the Easley Cluster
  • Easley Namesake
  • About this Manual
  • Acceptable Use
  • Citations and Acknowledgements
  • System Overview
• Accessing Easley
  • Request an Account
  • Connect to Easley
    • Linux, Mac or Windows terminal
    • Putty(Windows)
  • Common Issues Connecting to Easley
• Locations & Resources
  • Login Node
  • Compute Nodes
  • File Storage
    • Home Directory
    • Scratch Directory
    • Tools Directory
    • File Storage Summary
  • Data Transfer
• Job Scheduling & Resource Allocation
  • Job Submission
    • How to Submit a Job
    • Common Slurm Job Submission Options
    • Default Memory per Partition
  • Job-Related Commands
  • Slurm Job States
  • Partitions
    • Partition Types
    • Partition Commands
  • Monitor Jobs
  • Monitor Resources
  • Testing
    • Interactive Job Submission
  • Job Sub Examples
    • Command-Line Examples
    • SBATCH Examples
  • Job Arrays
    • Naming output and error files
    • Deleting job arrays and tasks
• Slurm Interactive Jobs
  • Interactive Jobs Using salloc
  • Interactive Jobs Using srun
• Software
  • Finding Available Software
  • New Software
  • Set the Environment
    • Using Environment Modules
    • Common Module Commands
    • Creating your Own Modules
    • Compile Software
• GPUs
  • GPU Quick Start
  • Easley GPU Devices
  • Scheduling GPUs
    • Interactive GPU Jobs
  • GPU Overview
    • GPU Terminology
    • GPU Architecture
    • Thread Hierarchy
• Easley Cluster Training: Fundamentals
  • Getting Started & Basic Linux Commands
    • Extra Practice
    • Best Practices Summary
• Programming Environments
  • Command Line & Shell for HPC
    • Common Research Use Cases
    • Shell Essentials
  • R Programming Environment
    • Finding a Version
    • Creating a Custom Package Library
    • Automatically Load Custom Library Paths
    • Custom Build Settings
  • Python Fundamentals Training
    • Introduction
    • Listing Available packages
    • Python or Anaconda?
    • Virtual Environments and installing packages locally
    • Python Concurrency and Parallelism
    • Multithreading with Python
    • Multiprocessing with Python
    • Job Submission
    • Additional Services
• Python Fundamentals Training
  • Introduction
  • Listing Available packages
  • Python or Anaconda?
  • Virtual Environments and installing packages locally
    • Python 3 with pip
    • Anaconda Python 3 with conda
  • Python Concurrency and Parallelism
    • Sample Code
  • Multithreading with Python
  • Multiprocessing with Python
  • Job Submission
  • Additional Services
• Data Transfer
  • SCP(Linux and Mac users)
    • Transfer local to remote(upload)
    • Transfer remote to local(download)
    • Transfer remote to remote(Transfer Hopper files to Easley)
    • Transfer script
    • When to use SCP?
  • WINSCP(Windows Users)
    • When to use Winscp?
  • GLOBUS
    • When to use Globus?
• GPU Workloads
  • Introduction
  • GPU Modules & Locations
  • Basic CUDA C++ Example
  • Using Cuda with Pytorch
  • Installing Pytorch
  • torch.cuda
  • Batch Job Submission
• MPI Workloads
• Containers and HPC
  • Singularity or Docker?
  • Benefits of using containers
  • Popular container registries
  • Pulling Containers
  • Run and exec
  • Job Submission
    • Parallel MPI Code:
  • Building an Image
• Easley Cluster Reports
  • Live Usage Reports