Search Documentation

Search Documentation

Owens

This documentation describes how to install tensorflow package locally in your $HOME space. For more details on Tensorflow see the software page.

Load python module

Owens, Pitzer

"Horovod is a distributed training framework for TensorFlow, Keras, PyTorch, and MXNet. The goal of Horovod is to make distributed Deep Learning fast and easy to use. The primary motivation for this project is to make it easy to take a single-GPU TensorFlow program and successfully train it on many GPUs faster."

Quote from Horovod Github documentation

Owens, Pitzer

metilene is a software tool to annotate differentally methylated regions and differentially methylated CpG sites.

Availability and Restrictions

Versions

The following versions of bedtools are available on OSC clusters:

Owens, Pitzer

Introduction

OSCprojects is a command developed at OSC for use on OSC's systems and is used to view your logged in accounts project information.

Owens, Pitzer

Introduction

OSCgetent is a command developed at OSC for use on OSC's systems and is similar to the standard getent command. It lets one view group information.

Owens, Pitzer

Introduction

OSCusage is command developed at OSC for use on OSC's systems.  It allows for a user to see information on their project's usage, including different users and their jobs.

There are some commands that OSC has created custom versions of to be more useful to OSC users.

 

Ascend, Cardinal

 PyTorch is an open source machine learning framework with GPU acceleration and deep neural networks that is based on the automatic differentiation in the Torch library of tensors.

Owens

Memory Limit:

A small portion of the total physical memory on each node is reserved for distributed processes.  The actual physical memory available to user jobs is tabulated below.

Pages