Adaptive performance-constrained in situ visualization of atmospheric simulations

Matthieu Dorier, Robert Sisneros, Leonardo Bautista Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, Luc Bougé

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While many parallel visualization tools now provide in situ visualization capabilities, the trend has been to feed such tools with large amounts of unprocessed output data and let them render everything at the highest possible resolution. This leads to an increased run time of simulations that still have to complete within a fixed-length job allocation. In this paper, we tackle the challenge of enabling in situ visualization under performance constraints. Our approach shuffles data across processes according to its content and filters out part of it in order to feed a visualization pipeline with only a reorganized subset of the data produced by the simulation. Our framework leverages fast, generic evaluation procedures to score blocks of data, using information theory, statistics, and linear algebra. It monitors its own performance and adapts dynamically to achieve appropriate visual fidelity within predefined performance constraints. Experiments on the Blue Waters supercomputer with the CM1 simulation show that our approach enables a 5× speedup with respect to the initial visualization pipeline and is able to meet performance constraints.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages269-278
Number of pages10
ISBN (Electronic)9781509036530
DOIs
StatePublished - Dec 6 2016
Event2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 - Taipei, Taiwan, Province of China
Duration: Sep 13 2016Sep 15 2016

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Other

Other2016 IEEE International Conference on Cluster Computing, CLUSTER 2016
CountryTaiwan, Province of China
CityTaipei
Period9/13/169/15/16

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ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

Cite this

Dorier, M., Sisneros, R., Gomez, L. B., Peterka, T., Orf, L., Rahmani, L., Antoniu, G., & Bougé, L. (2016). Adaptive performance-constrained in situ visualization of atmospheric simulations. In Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 (pp. 269-278). [7776519] (Proceedings - IEEE International Conference on Cluster Computing, ICCC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLUSTER.2016.25