ALCF Simulation, Data, and Learning Workshop

SDL Workshop


The ALCF and our user community are driving a new paradigm for scientific computing—the emerging convergence of simulation, data analytics, and machine learning.

From February 27–March 1, 2018, we will host the ALCF Simulation, Data, and Learning Workshop to help users prepare to use Theta, our new KNL system, to advance research in these three areas of scientific computing. Attendees will have the opportunity to:

  • Get dedicated hands-on time with ALCF and industry professionals
  • Learn about using Theta and available tools and frameworks for your science projects involving simulation, data, and learning
  • Test and debug as you go with exclusive full-system reservations on Theta
  • Prepare for proposals to the Aurora Early Science Program for Data and Learning and the ALCF Data Science Program, as well as the INCITE and ALCC programs.

Registrants will be reviewed for experience level and will be asked to provide goals for attending.


Day 1 (Tues, Feb 27)

8:30 Shuttle from Guest House to TCS, Bldg. 240
9:00-9:15 Welcome to the SDL Workshop - Mike Papka, ALCF
9:15-10:45 Getting Started on Theta - Graham Fletcher, ALCF
10:45-11:00 Break
11:00-11:45 Using Math Libraries effectively on KNL - Khang Nguyen, Intel
11:45-12:15 Overview of Machine Learning and Deep Learning at the ALCF - Elise Jennings, ALCF
12:15-12:45 Data-Driven Molecular Engineering of Solar-Powered Windows - Jacqueline Cole, Cambridge University and ANL
12:45-1:30 Aurora Early Science Program for Data and Learning - Tim Williams, ALCF
1:30-2:15 Optimizing MPI on Theta - Peter Mendygral, Cray
2:15-3:00 Using OpenMP E