Welcome to Spiedie Docs!

The Binghamton University High-Performance Computing Cluster aptly name “Spiedie” is a 3688 compute core & 512 Knights Landing core cluster housed in the Thomas J. Watson School of Engineering and Applied Science's data center located at the Innovative Technology Complex. This research facility offers computer capabilities for researchers across Binghamton University.

Guided Tutorials

Tutorials

A set of tutorials to get you up and running with Spiedie. ...

Setting Up a Python Environment

Setting up local python environments for compartmentalizing code ...

Quick Start Tutorial - Python

A walkthrough on how to submit your first job on Spiedie! ...

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Documentation

Useful Linux Commands

Some useful Linux commands. ...

Basic SLURM Commands

A walk-through of the essential slurm commands to run programs, check usage and job status, and manipulate job states on Spiedie. ...

Compiling Source Code on Spiedie

Available compilers on spiedie for optimized compilations. ...

Conda vs. Singularity vs. Modules

Identifying which environment solution works best for your workload on Spiedie. ...

Connecting to Spiedie

How to log on to Spiedie from your personal computer using various operating systems. ...

Transferring Data to the Cluster

A guide to transferring data to and from Spiedie and setting up network drives. ...

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Singularity on Spiedie

Create Singularity Images

Creating your own custom container ...

Singularity on Spiedie

A set of tutorials to get you up and running with spiedie. ...

Installing Singularity on Local Machine

Run Singularity on your personal workstation ...

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