Performance Portability Series: AMRex Tutorial

Thursday, March 14, 2024

This session, offered by OLCF and NERSC, is part of the Performance Portability Training Series.

Introduction

The AMReX training session, presented by Andrew Myers, Weiqun Zhang, and Mukul Dave of LBNL, is part of the Performance Portability training series. This series, offered by OLCF, NERSC, and ALCF, features training sessions on various performance portable programming solutions to help ease developer transitions between current and emerging high-performance computing (HPC) systems, such as the NERSC Perlmutter, OLCF Frontier, and ALCF Aurora featuring NVIDIA-, AMD-, and Intel-based GPUs, respectively.

Time: 12:00 – 2:30 pm (EST) | 9:00 – 11:30 am (PST)

Overview

Block-structured adaptive mesh refinement (AMR) provides a natural framework to focus computing power on the most critical parts of a problem in an efficient way. AMReX supports the development of block-structured AMR algorithms for solving systems of partial differential equations (PDEs) that require structured mesh and/or particle discretization.

We will begin with an overview of AMReX and its applications, focusing on features to solve multiphysics problems on machines from laptops to supercomputers. In particular, we will describe how one can use AMReX to develop simulation codes that will work for both CPU and GPU systems.

Hands-on exercises will include passive scalar advection with time-dependent adaptivity and the use of native linear solvers to impose incompressibility on a flow with particles around an obstacle. Files for the hands-on session will be hosted on Perlmutter, and NERSC will provide training accounts, if needed, to the participants.

Please visit the NERSC event page for more details.