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Ascend, Gateway, Owens

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.  

Number of Nodes

378 nodes

Number of CPU Sockets

756 (2 sockets/node for all nodes)

Number of CPU Cores


Cores Per Node

104 cores/node for all nodes (96 usable)

OSC's Cardinal cluster is slated to launch in 2024. 

Accessing User OneDrive in Globus

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.

Ascend, Owens, Pitzer

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.

Ascend, Owens, Pitzer

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

SUG Mini Meeting - Oct. 17, 2023

OSC Updates

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GPU Usage on Tensorflow

Environment Setup

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

Ascend, Owens, Pitzer

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.