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        <title>technicalspecifications - [Software] </title>
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        <description>Master Node

	*  2 Intel Xeon E5-2640v4 (2.4GHz 10core)
	*  64GB RAM
	*  2 2TB 7200RPM, RAID1
	*  Gigabit Ethernet
	*  Infiniband

Storage Node

	*  2 Intel Xeon E5-2650v4 (2.2GHz 12core)
	*  64GB RAM
	*  2 480GB SSDs (sdb and sdc, RAID, / and /boot)</description>
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        <description>Connect to the HPC system:

There are two methods of connecting to the HPC system. If you are using computer that is connected to the Grinnell College network, you can SSH to the cluster. Clients that are off-campus can connect to the cluster in a web browser by visiting</description>
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        <description>HPC Jobs

In the context of HPC, a job is a task (a program or script) that you ask the computer to run. Jobs are managed by a scheduler that accepts submissions from all cluster users and works out when and on which resources the job will run. When you connect to the cluster, you connect to a login node or</description>
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        <description>Overview

Grinnell College faculty and student researchers have access to a High Performance Compute cluster that is supported by Information Technology Services. The cluster has been funded by the Innovation Fund, the Chemistry Department, research funding from Charlotte Christiansen in Physics, and Information Technology Services. Faculty seeking to acquire compute resources with research funding are encouraged to consider applying the funding to build additional resources into the cluster so …</description>
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        <description>Orientation

If you&#039;ve not had much exposure to running computational workloads on an HPC cluster, this video is a brief but very helpful introduction to an HPC cluster. It is recommended that you watch this video before proceeding with the tutorials linked below.</description>
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