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Introduction to Deep Learning for Scientific Applications


Introduction to Deep Learning for Scientific Applications
Virtual Event
October 7-8, 2020
11:00 AM – 5:15 PM (ET)
REGISTRATION DEADLINE: September 27, 2020


On October 7-8, 2020, the Oak Ridge Leadership Computing Facility (OLCF), in conjunction with IBM, will host a 2-day (virtual) training titled “Introduction to Deep Learning for Scientific Applications”. The goal of the training is to show current Summit users how they might use machine learning (ML) / deep learning (DL) in their traditional (modeling and simulation) scientific applications.


During the event
During the event, IBM and OLCF staff will give an overview of ML/DL concepts and describe how these concepts are relevant to traditional HPC applications. They will start with the basics of ML on the first day and work toward integrating DL surrogates into an application by the end of the second day. The material covered in the presentations will be supplemented by hands-on labs, where participants will have an opportunity to test their understanding of the material. For more details on the topics that will be covered, please see the “Agenda” dropdown below.

NOTE: This event is intended for participants with current Summit access (compute access will not be provided). If you do not have Summit access, you are welcome to watch the presentations but much of the content is delivered through hands-on labs – so please see the “Agenda” dropdown to find when presentations will be given.

If you plan to attend, please make sure to register below.
If you have any questions, please contact Tom Papatheodore (papatheodore@ornl.gov).


Registration
Agenda

DRAFT AGENDA – SUBJECT TO CHANGE

Day 1 – October 7, 2020

Time (all times EDT) Topic Presenter
11:00 AM – 11:15 AM Welcome & ML/DL at OLCF OLCF
11:15 AM – 11:45 AM A Brief Overview of ML/DL IBM
11:45 AM – 12:15 PM Intersection of AI and HPC IBM
12:15 PM – 12:30 PM Summit System Overview OLCF
12:30 PM – 1:00 PM Python Environments on Summit OLCF
1:00 PM – 1:15 PM Break
1:15 PM – 1:45 PM Introduction to IBM WML-CE IBM
1:45 PM – 2:15 PM Lab 0: Setting Up Your Programming Environment on Summit OLCF
2:15 PM – 3:30 PM Lab 1: Python AI Essentials for Beginners IBM
3:30 PM – 3:45 PM Break
3:45 PM – 5:15 PM Lab 2: GPU accelerated dataframes – RAPIDS / Dask Lab IBM

Day 2 – October 8, 2020

Time (all times EDT) Topic Presenter
11:00 AM – 11:15 AM Welcome Back OLCF
11:15 AM – 11:45 AM Overview of Neural Networks IBM
11:45 AM – 1:00 PM Lab 3: Intro to PyTorch (w/lecture) IBM
1:00 PM – 1:15 PM Break
1:15 PM – 1:45 PM Integrating Trained Models into C++/FORTRAN Applictions IBM
1:45 PM – 3:00 PM Lab 4: End-to-End Deep Learning (Training) – Using Deep Learning as Universal Function Approximator IBM
3:00 PM – 3:15 PM Break
3:15 PM – 5:00 PM Lab 5: End-to-End Deep Learning (Inference) – Function Representation Integrated into Example Application IBM
5:00 PM – 5:15 PM Closing Remarks IBM, OLCF

Date

Oct 07 2020 - Oct 08 2020

Time

11:00 am - 5:15 pm
Category

Organizer

Thomas Papatheodore
Phone
1 (865) 576-1244
Email
papatheodore@ornl.gov
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