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Article | Mathematics and Computer Science Division

MCS researchers play major role at extreme-scale computing training program

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