Agenda is subject to change. Times listed below are in Pacific.

Lesson material: https://github.com/ciml-org/ciml-summer-institute-2022

 

Wednesday, June 22 – Preparation Day

9:00 AM - 9:20 AM

1.1. Welcome & Orientation 
Mary Thomas, Computational Data Scientist & Director of the CIML Summer Institute 

9:20 AM – 9:40 AM

1.2 Accounts, Login, Environment, Running Jobs and Logging into Expanse User Portal 
Mary Thomas, Computational Data Scientist & Director of the CIML Summer Institute 

9:50 AM – 10:10 AM

1.3 Running Jupyter Notebooks on Expanse  
Marty Kandes, Computational and Data Science Research Specialist 

10:10 AM – 10:30 AM

Q&A wrap up

 

Monday, June 27 – HPC, Parallel Concepts

8:00 AM – 8:05 AM

2.1 Quick Welcome 

8:05 AM – 9:05 AM

2.2 Introduction HPC/Cyberinfrastructure 
Robert Sinkovits, Director of Education and Training 

9:05 AM – 10:05 AM

2.3 CPU Computing - Hardware, architecture, and software infrastructure   

Mary Thomas, Computational Data Scientist & Director of the CIML Summer Institute 

10:05 AM – 11:35 AM

 2.4 Data Management and File Systems  
Marty Kandes, Computational and Data Science Research Specialist 

11:35 AM – 12:05 PM - Break/Lunch

12:05 PM – 1:50 PM

2.5 GPU Computing - Hardware architecture and software infrastructure  

Andreas Goetz, Research Scientist & Principal Investigator  

1:50 PM – 2:00 PM 

Q&A, Wrap-up 

 

Tuesday, June 28 - Scalable Machine Learning

8:00 AM – 8:05 AM 

3.1 Quick Welcome

8:05 AM – 9:05 AM

3.2 Introduction to Singularity: Containers for Scientific and High-Performance Computing  

Marty Kandes, Computational and Data Science Research Specialist  

9:05 AM – 10:50 AM

3.3 CONDA Environments and Jupyter Notebook on Expanse: Scalable & Reproducible

Data Exploration and ML  
Peter Rose, Director of Structural Bioinformatics Laboratory 

10:50 AM – 11:20 AM - Break/ Lunch

11:20 AM – 11:35 AM

3.4 Machine Learning (ML) Overview 

Mai Nguyen, Lead for Data Analytics 

11:35 AM – 12:05 PM 

3.5 R on HPC Demo 
Paul Rodriguez, Computational Data Scientist                                                                               

12:05 PM – 2:05 PM

 3.6 Spark  
Mai Nguyen, Lead for Data Analytics

 

Wednesday, June 29 - Deep Learning

8:00 AM – 8:05 AM 

4.1 Quick Welcome

8:05 AM – 9:05 AM

4.2 Intro to NN/CNN 
Paul Rodriguez, Computational Data Scientist 

9:05 AM – 10:05 AM

4.3 Deep Learning

Paul Rodriguez, Computational Data Scientist 

10:05 AM – 10:50 AM

4.4 Deep Learning Layers and Models
Mai Nguyen, Lead for Data Analytics

10:55 AM – 11:25 AM - Break/Lunch

11:25AM – 12:25 PM 

4.5 Deep Learning Transfer Learning 

Mai Nguyen, Lead for Data Analytics 

12:25 PM – 1:25 PM 

4.6 Deep Learning – Other topics  

Paul Rodriguez, Computational Data Scientist 

1:25 PM – 2:00 PM

Q&A, Wrap-up