Join us Oct. 2-4, 2018, for an opportunity to work with ALCF and industry experts to improve the performance and productivity of simulation, data science, and machine learning applications on ALCF systems.
The ALCF and our user community are driving a new paradigm for scientific computing—the convergence of simulation, data analysis, and machine learning.
From October 2–4, 2018, we will host the ALCF Simulation, Data, and Learning Workshop to help researchers improve the performance and productivity of simulation, data science, and machine learning applications on ALCF systems. Workshop participants will have the opportunity to:
Registrants will be reviewed for experience level and will be asked to provide goals for attending.
Day 1 (Tuesday, October 2) |
||
8:30 | Shuttle Departs from Guest House to TCS, Bldg. 240 | |
9:00-9:10 | Welcome - Mike Papka, ALCF | |
9:10-9:15 | Introduction and Safety Review - Ray Loy, ALCF | |
9:15-10:00 | Getting Started on ALCF Systems - Chris Knight, ALCF | |
10:00-10:30 | Hands-on Session | |
10:30-10:45 | Break | |
10:45-11:15 | Overview of Machine Learning and Deep Learning at the ALCF (including DeepHyper, UQ, DAAL) - Elise Jennings, ALCF | |
11:15-12:00 | Deep Learning with Keras, Tensorflow, PyTorch, and Horovod on Theta - Huihuo Zheng, ALCF | |
12:00-1:00 | ALCF Allocation Programs (working lunch) - Katherine Riley, ALCF | |
1:00-1:40 | Using and Scaling Python - William Scullin, ALCF | |
1:40-2:20 |
Profiling Your Application with Intel VTune and Advisor - Carlos Rosales-Fernandez, Intel Note: Examples referenced in /projects/intel/crosales are now in /projects/SDL_Workshop/crosales |
|
2:20-3:20 | Hands-on Session | |
3:20-3:35 | Break | |
3:35-4:15 | Scaling Deep Learning Frameworks - Mike Ringenburg, Cray | |
4:15-5:00 | Hands-on Session | |
5:15 | Shuttle Departs from TCS to Guest House | |
Day 2 (Wednesday, October 3) |
||
8:30 | Shuttle Departs from Guest House to TCS, Bldg. 240 | |
9:00-9:30 | Getting Started with Spark on Theta - Xiao-Yong Jin, ALCF | |
9:30-10:10 | Spark Tips and Tricks including Alchemist - Mike Ringenburg, Cray | |
10:10-10:40 | Hands-on Session | |
10:40-10:55 | Break | |
10:55-12:00 | TAU Performance Analysis - Nick Chaimov, Paratools | |
12:00-12:10 | Group Photo | |
12:10-1:00 | Scientific Domain-Informed Machine Learning - Prasanna Balaprakash, ANL (working lunch) | |
1:00-1:40 | Using MPI Effectively on Theta - Sudheer Chunduri, ALCF | |
1:40-2:20 |
Debugging and Profiling with DDT and Map - Ryan Hulguin, ARM |
|
2:20-3:15 | Hands-on Session | |
3:15-3:30 | Break | |
3:30-3:35 | ALCF Next Steps - Ray Loy, ALCF | |
3:35-4:15 |
Using OpenMP Effectively on Theta - Carlos Rosales-Fernandez, Intel Note: Examples referenced in /projects/intel/crosales are now in /projects/SDL_Workshop/crosales |
|
4:15-5:00 | Hands-on Session | |
5:15 | Shuttle Departs from TCS to Guest House | |
Day 3 (Thursday, October 4) |
||
8:30 | Shuttle Departs from Guest House to TCS, Bldg. 240 | |
9:00-9:40 |
Using MKL and MKL-DDN Effectively on Theta - Mourad Gouicem, Intel |
|
9:40-10:20 | Executing Workflows including Running Ensemble Jobs Using Balsam - Misha Salim, ALCF | |
10:20-10:35 | Break | |
10:35-11:15 | Hands-on Session | |
11:15-12:00 | Using Containers on Theta - Murat Keceli, ALCF | |
12:00-1:00 | Run-to-run Variability on Theta and Best Practices for Perfomance Benchmarking - Sudheer Chunduri, ALCF (working lunch) | |
1:00-1:45 | Parallel I/O and Storage - Rick Zamora, ALCF | |
1:45-2:30 | Visualizing Your Data - Joe Insley and Silvio Rizzi, ALCF | |
2:30-3:30 | Hands-on Session | |
3:30-3:45 | Break | |
3:45-5:00 | Hands-on Session | |
NOTE: No shuttle to Guest House. For assistance, visit registration desk. |