The Mathematics and Computer Science division at Argonne National Laboratory played a major role at the Argonne Training Program on Extreme-Scale Computing (ATPESC). This annual program provides an intensive two weeks of training on the key skills, approaches and tools to design, implement and execute computational science and engineering applications on current and future leadership-class computing systems. This year’s event took place July 28–August 9, 2019, in St. Charles, Illinois.
Following is a list of the activities MCS researchers participated in at ATPESC 2019. For further information and slides from the presentations, see the website.
Track Introduction
Lois Curfman McInnes
- Track 5 Introduction – Numerical Algorithms and Software for Extreme-Scale Science
Panel
- Algorithms and Software for Extreme-Scale Computing -
Barry Smith and Lois Curfman McInnes
Presentations
Ken Raffenetti
- Interconnects
Phil Carns
- Principles of HPC I/O
- Introduction to Darshan
- HPC I/O Data Management Tools
Rob Latham
- Introduction to MPI-I/O
- Higher-Level I/O Libraries
Lois Curfman McInnes
- Overview of Numerical Algorithms and Software + Hands On
Alp Dener
- PDE-Constrained Optimization Using PETSc/TAO
Jared O/Neal
- Requirements and Test-Driven Development
- Git Workflow
- Code Coverage and Continuous Integration
Anshu Dubey
- Software Design and Testing
- Software Refactoring and Documentation
Prasanna Balaprakash
- Deep Learning Basics
- Hyper-parameter Optimization and DeepHyper
- Science Use Case 2 – Diffusion Convolution Recurrent Neural Network for Traffic Forecasting
Tanwi Mallick
- Science Use Case 2 – Diffusion Convolution Recurrent Neural Network for Traffic Forecasting