Evidence map›Paper›PMID 27547508›Full record

ArticleIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum2016

Real-Time Agent-Based Modeling Simulation with in-situ Visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing.

Nuttiiya Seekhao, Caroline Shung, Joseph JaJa, Luc Mongeau, Nicole Y K Li-Jessen

Open access · greenAbstract read
In one paragraph

Article in IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. High-Performance Host-Device Scheduling and Data-Transfer Minimization Techniques for Visualization of 3D Agent-Based Wound Healing Applications.PDPTA '19 : proceedings of the 2019 International Conference on Parallel & Distributed Processing Techniquess & Applications. International Conference on Parallel and Distributed Processing Techniques and Applications (2019 : Las Vegas,...
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Nuttiiya SeekhaoDepartment of Electrical and Computer Engineering - University of Maryland-College Park, Maryland, USA.
Caroline ShungDepartment of Mechanical Engineering - McGill University, Montreal, Canada.
Joseph JaJaDepartment of Electrical and Computer Engineering - University of Maryland-College Park, Maryland, USA.
Luc MongeauDepartment of Mechanical Engineering - McGill University, Montreal, Canada.
Nicole Y K Li-JessenSchool of Communication Sciences and Disorders - McGill University, Montreal, Canada.
McGill University · CAUniversity of Maryland, College Park · US

Funding

Fluid Structure Interactions Within the Human LarynxR01DC005788 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI MONGEAU, LUC · 2003 to 2018
$6.4M
Biosimulation of vocal fold surgical injuryR03DC012112 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI LI-JESSEN, NICOLE YEE-KEY · 2012 to 2014
$429k
NIDCD NIH HHS R01 DC005788NIDCD NIH HHS R03 DC012112
6 · The paper itself

Abstract

We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was implemented under a client-server paradigm that enables remote users to visualize and analyze simulation data as it is being generated at each time step of the model. Performance of a simulation case study of vocal fold inflammation and wound healing with 3.8 million agents shows 35× and 7× speedup in execution time over single-core and multi-core CPU respectively. Each iteration of the model took less than 200 ms to simulate, visualize and send the results to the client. This enables users to monitor the simulation in real-time and modify its course as needed.

Indexed as

ABMscomponentHeterogeneous PlatformHPCIn Situ VisualizationSystems Biology

Identifiers

PMID27547508
PMCPMC4988409
OpenAlexW2493137134

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.