This workshop introduces IU faculty, staff, and students to Deep Learning on the resources UITS Research Technologies (RT) makes available to them at IU, namely the Big Red 200 supercomputer. Attendees will learn to create their first NeuralNet, RandomForest and function optimizer with the Deep Learning software stack on Big Red 200. Detailed examples with documented code will be provided and discussed. No prior knowledge of these techniques is assumed. Knowledge of Unix and Python is needed for the hands-on exercises.
Learning Objectives
- By the end of the class, attendees will:
- Create their first NeuralNet, RandomForest and function optimizer with the Deep Learning software stack on Big Red 200.
Prerequisite Skills
- An account on BigRed200. (https://kb.iu.edu/d/brcc#access)
- Basic knowledge of Unix and Python.
- A means to login via a terminal.
- Recommended (but not required): Familiarity with a text editor.
- REGISTRATION CLOSES THREE DAYS BEFORE THE CLASS BEGINS!
Agenda
- TensorFlow for NeuralNetworks
- Sklearn for a RandomForest
- Scipy for an optimization probleM
- Cupy for GPU acceleration of existing numpy applications
Go to the recording from April 25, 2023 workshop.
Intro to Deep Learning on Big Red 200 (on YouTube)View hands-on material from the workshop.
Intro to Deep Learning on Big Red 200 (on GitHub)The Supercomputing for Everyone Series (SC4ES) aims to bring more users into the realm of advanced computing, whether it be visualization, computation, analytics, storage, or any related discipline. Research Technologies can take you to the next level of computing.
Supercomputing for Everyone Series workshops and seminars are led by personnel from Research Technologies, a division of University Information Technology Services and a center in the Pervasive Technology Institute at Indiana University.