Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis

Anthony Bucaro; Connor Murphy; Nicola Ferrier; Joseph Insley; Victor Mateevitsi; Michael E. Papka; Silvio Rizzi; Jifu Tan

doi:10.1109/LDAV53230.2021.00018

Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis

Anthony Bucaro
, Connor Murphy
, Nicola Ferrier
, Joseph Insley
, Victor Mateevitsi
, Michael E. Papka
, Silvio Rizzi
, Jifu Tan

Mechanical Engineering

Binghamton University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid (cells). Recent advances in blood flow simulations highlight the need of a more efficient analysis of large data sets. Traditionally, analysis is performed after a simulation is completed, and any changes of simulation settings require running the simulation again. With bi-directional in situ analysis we aim to solve this problem by allowing manipulation of simulation parameters in run time. In this project, we describe our early steps toward this goal and present the in situ instrumentation of two coupled codes for blood flow simulation using the SENSEI in situ framework.

Original language	English
Title of host publication	Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	88-89
Number of pages	2
ISBN (Electronic)	9781665432832
DOIs	https://doi.org/10.1109/LDAV53230.2021.00018
State	Published - 2021
Event	11th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2021 - Virtual, Online, United States Duration: Oct 25 2021 → …

Publication series

Name	Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021

Conference

Conference	11th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2021
Country/Territory	United States
City	Virtual, Online
Period	10/25/21 → …

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10.1109/LDAV53230.2021.00018

Cite this

Bucaro, A., Murphy, C., Ferrier, N., Insley, J., Mateevitsi, V., Papka, M. E., Rizzi, S., & Tan, J. (2021). Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. In Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021 (pp. 88-89). (Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LDAV53230.2021.00018

Bucaro, Anthony ; Murphy, Connor ; Ferrier, Nicola et al. / Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 88-89 (Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021).

@inproceedings{892d9df28c2b451385137551b8cdc164,

title = "Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis",

abstract = "Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid (cells). Recent advances in blood flow simulations highlight the need of a more efficient analysis of large data sets. Traditionally, analysis is performed after a simulation is completed, and any changes of simulation settings require running the simulation again. With bi-directional in situ analysis we aim to solve this problem by allowing manipulation of simulation parameters in run time. In this project, we describe our early steps toward this goal and present the in situ instrumentation of two coupled codes for blood flow simulation using the SENSEI in situ framework.",

author = "Anthony Bucaro and Connor Murphy and Nicola Ferrier and Joseph Insley and Victor Mateevitsi and Papka, \{Michael E.\} and Silvio Rizzi and Jifu Tan",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 11th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2021 ; Conference date: 25-10-2021",

year = "2021",

doi = "10.1109/LDAV53230.2021.00018",

language = "English",

series = "Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "88--89",

booktitle = "Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021",

}

Bucaro, A, Murphy, C, Ferrier, N, Insley, J, Mateevitsi, V, Papka, ME, Rizzi, S & Tan, J 2021, Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. in Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021. Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021, Institute of Electrical and Electronics Engineers Inc., pp. 88-89, 11th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2021, Virtual, Online, United States, 10/25/21. https://doi.org/10.1109/LDAV53230.2021.00018

Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. / Bucaro, Anthony; Murphy, Connor; Ferrier, Nicola et al.
Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 88-89 (Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis

AU - Bucaro, Anthony

AU - Murphy, Connor

AU - Ferrier, Nicola

AU - Insley, Joseph

AU - Mateevitsi, Victor

AU - Papka, Michael E.

AU - Rizzi, Silvio

AU - Tan, Jifu

PY - 2021

Y1 - 2021

N2 - Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid (cells). Recent advances in blood flow simulations highlight the need of a more efficient analysis of large data sets. Traditionally, analysis is performed after a simulation is completed, and any changes of simulation settings require running the simulation again. With bi-directional in situ analysis we aim to solve this problem by allowing manipulation of simulation parameters in run time. In this project, we describe our early steps toward this goal and present the in situ instrumentation of two coupled codes for blood flow simulation using the SENSEI in situ framework.

AB - Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid (cells). Recent advances in blood flow simulations highlight the need of a more efficient analysis of large data sets. Traditionally, analysis is performed after a simulation is completed, and any changes of simulation settings require running the simulation again. With bi-directional in situ analysis we aim to solve this problem by allowing manipulation of simulation parameters in run time. In this project, we describe our early steps toward this goal and present the in situ instrumentation of two coupled codes for blood flow simulation using the SENSEI in situ framework.

UR - https://www.scopus.com/pages/publications/85123936611

U2 - 10.1109/LDAV53230.2021.00018

DO - 10.1109/LDAV53230.2021.00018

M3 - Conference contribution

T3 - Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021

SP - 88

EP - 89

BT - Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2021

Y2 - 25 October 2021

ER -

Bucaro A, Murphy C, Ferrier N, Insley J, Mateevitsi V, Papka ME et al. Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. In Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 88-89. (Proceedings - 2021 IEEE 11th Symposium on Large Data Analysis and Visualization, LDAV 2021). doi: 10.1109/LDAV53230.2021.00018

Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis

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