#maptimeDavis Learn to High Performance Compute: Geo Style

maptime-hpc

Have you been doing geospatial processes that takes hours, days, or weeks to run? Been wondering if there’s an easy way to make it go faster?

Come learn some ways to take your toolbox to the next level with High Performance Computing (HPC). We’ll discuss and walk-through some examples of taking a iterative processes and turning them into parallel processes that can leverage more power from a single computers or multiple computers (clusters).

When? Tuesday, May 1, 1:00-3:00 in the DSI Classroom – room 360 Shields Library

Prerequisites: Introductory background with programming, scripting or command line.

Examples will be in R, Python and BASH.

There will be discussion of computer clusters (CAES FARM), cloud services (AWS), etc…

How to prepare:

  1. Register for this event.
  2. Install R and Rstudio to follow along with the examples.
  3. (Optional) Bring some code, or toolbox workflow you want to improve.

#maptime Davis is brought to you by the UC Davis Library’s Data Management Program & the UC Davis Center for Spatial Sciences with help from several campus clubs and informal learning groups.  Space is generously provided by the Data Science Initiative (DSI).

Upcoming #maptimeDavis workshops.

One thought on “#maptimeDavis Learn to High Performance Compute: Geo Style

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s