Low-Overhead in Situ Visualization Using Halo Replay

Published

Conference Paper

© 2019 IEEE. In situ visualization and analysis is of increasing importance as the compute and I/O gap further widens with the advance to exascale capable computing. Yet, in situ methods impose resource constraints leading to the difficult task of balancing simulation code performance and the quality of analysis. Applications with tightly-coupled in situ visualization often achieve performance through spatial and temporal downsampling, a tradeoff which risks not capturing transient phenomena at sufficient fidelity. Determining a priori visualization parameters such as sampling rate is difficult without time and resource intensive experimentation. We present a method for reducing resource contention between in situ visualization and stencil codes on heterogeneous systems. This method permits full resolution replay through recording halos and the communication-free reconstruction of interior values uncoupled from the main simulation. We apply this method in the computational fluid dynamics (CFD) code HARVEY [1] on the Summit supercomputer. We demonstrate minimal-overhead, in situ visualization relative to simulation alone, and compare the Halo Replay performance to tightly-coupled in situ approaches.

Full Text

Duke Authors

Cited Authors

  • Ames, J; Rizzi, S; Insley, J; Patel, S; Hernández, B; Draeger, EW; Randles, A

Published Date

  • October 1, 2019

Published In

  • 2019 Ieee 9th Symposium on Large Data Analysis and Visualization, Ldav 2019

Start / End Page

  • 16 - 26

International Standard Book Number 13 (ISBN-13)

  • 9781728126050

Digital Object Identifier (DOI)

  • 10.1109/LDAV48142.2019.8944265

Citation Source

  • Scopus