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The Ohio Supercomputer Center (OSC) is experiencing an email delivery problem with several types of messages from MyOSC.
The Ohio Supercomputer Center (OSC) is experiencing an email delivery problem with several types of messages from MyOSC.
Search our client documentation below, optionally filtered by one or more systems.
rclone
is a tool that can be used to upload and download files to a cloud storage (like Microsoft OneDrive, BuckeyeBox) from the command line. It's shipped as a standalone binary, but requires some user configuration before using. In this page, we will provide instructions on how to use rclone
to upload data from Google Drive. For instructions with other cloud storage, check rclone
Online documentation.
Some projects may wish to have a common account to allow for different privileges than their regular user accounts. These are called community accounts, in that they are shared among multiple users, belong to a project, and may be able to submit jobs. Community accounts are accessed using the sudo
command.
A community sudo account has the following characteristics:
The following are technical specifications for Cardinal.
378 nodes
756 (2 sockets/node for all nodes)
39,312
104 cores/node for all nodes (96 usable)
Globus is a cloud-based service designed to let users move, share, and discover research data via a single interface, regardless of its location or number of files or size.
This makes Globus incredibly useful for transferring large files for users. This service is also able to work alongside OneDrive, making your this storage even more attainable.
Nextflow is a workflow system for creating scalable, portable, and reproducible workflows. Nextflow is based on the dataflow programming model which simplifies complex distributed pipelines.
Nodejs is used to create server-side web applications, and it is perfect for data-intensive applications since it uses an asynchronous, event-driven model
To begin, you need to first create and new conda environment or use an already existing one. See HOWTO: Create Python Environment for more details. In this example we are using python/3.6-conda5.2
We can improve performace of python calculation by running python in parallel. In this turtorial we will be making use of the multithreading library to run python code in parallel.