This workshop will take place in Bendheim House 103.

What is a GPU? How can it be used for scientific computing? What GPU resources does Princeton provide? This workshop will answer these questions and give participants the opportunity to run sample code written in Python, R, Julia and MATLAB on the GPU nodes of one of the Research Computing clusters. Participants will also gain hands-on experience with getting started with CUDA, a low-level GPU programming model and platform. This workshop presumes no previous knowledge of GPU computing.

Learning objectives: Attendees will learn about GPU hardware and come away with the ability to run GPU codes.

Knowledge prerequisites: Basic Linux is required; knowledge of a compiled programming language (e.g., C/C++, Fortran, Java) would be beneficial.

Hardware/software prerequisites: You will need a laptop and an account on the Adroit cluster (https://researchcomputing.princeton.edu/adroit).

Workshop format: Lecture and hands-on

Room info: https://classroominfo.princeton.edu/View.aspx?bl_id=0585&fl_id=01&rm_id…