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:
- Register for this event.
- Install R and Rstudio to follow along with the examples.
- (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).