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# HPC Documentation
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A dedicated platform for researchers, scholars, and students to access, learn, and leverage our state-of-the-art HPC resources.

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:::{grid-item-card} {octicon}`video;1.5em;screen-full` Open OnDemand (OOD)
:link: using-ood/introduction
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OOD provides a various available software interactively through your favorite browser.

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[Learn more »](using-ood/introduction)
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:::{grid-item-card} {octicon}`plug;1.5em;sd-mr-1` Classroom Integration
:link: classroom/class_use
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Request a reservation devoted for the classroom, whether an entire curriculum or specific assignments and lessons.

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[Learn more »](classroom/class_use)
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:::{grid-item-card} {octicon}`tools;1.5em;sd-mr-1` Best Practices
:link: best-practices/checkpointing
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Learn to optimize your projects by following some best practices.

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[Learn more »](best-practices/checkpointing)
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The Northeastern University HPC Cluster is a high-powered, multi-node, parallel computing system designed to meet the computational and data-intensive needs of various academic and industry-oriented research projects. The cluster incorporates cutting-edge computing technologies and robust storage solutions, providing an efficient and scalable environment for large-scale simulations, complex calculations, artificial intelligence, machine learning, big data analytics, bioinformatics, and more.

Whether you are a seasoned user or just beginning your journey into high-performance computing, our portal offers comprehensive resources, including in-depth guides, tutorials, best practices, and troubleshooting tips. Furthermore, the platform provides a streamlined interface to monitor, submit, and manage your computational jobs on the HPC cluster.

We invite you to explore the resources, tools, and services available through the portal. Join us as we endeavor to harness the power of high-performance computing, enabling breakthroughs in research and fostering innovation at Northeastern University.

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Access to the HPC Cluster is subject to university policy and guidelines. Please ensure that you read and understand these guidelines before using the facility. If you require assistance or have any questions, please do not hesitate to contact our dedicated support team.
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Research Computing <welcome/index>
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Getting Started <gettingstarted/index>
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:caption: User Guides

hardware/index
using-ood/index
runningjobs/index
Working with GPUs <gpus/index>
datamanagement/index
Software <software/index>
slurmguide/index
HPC for the Classroom <classroom/index>
containers/index
best-practices/index
tutorialsandtraining/index
miscellaneous/annual-shutdown
glossary
faqs-new