Introduction to Parallel Computing

doi:None

Title	Authors

Home

# Introduction to Parallel Computing This workshop is intended to provide participants with a quick overview of the broader parallel computing landscape, including: (a) the basic nomenclature and concepts underlying parallel computing, (b) some techniques for running "embarrassingly parallel" jobs, (c) libraries such as OpenMP and OpenMPI, and (d) when it makes sense to use accelerators (e.g., GPUs) in the parallel pipeline. While the material presented in this workshop is able to be used over a number of languages, examples and exercises will focus on parallel computing in R or Python. April 2018

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Home

Menu

Start managing your projects on the OSF today.

Main content

Links to this project

Home

Menu

Add new wiki page

Page permissions have changed

Wiki page deleted

Connected to the collaborative wiki

Connecting to the collaborative wiki

Collaborative wiki is unavailable

Browser unsupported

Start managing your projects on the OSF today.