Evidence map›Paper›PMID 24212039›Full record

ArticleBio-medical materials and engineering2014

Parallel acceleration for modeling of calcium dynamics in cardiac myocytes.

Ke Liu, Guangming Yao, Zeyun Yu

Abstract read
In one paragraph

Article in Bio-medical materials and engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ke LiuDepartment of Computer Science, University of Wisconsin-Milwaukee, WI, USA.
Guangming Yao
Zeyun Yu

Funding

Image-Based Modeling of Ca2+ Signaling in Ventricular MyocytesR15HL103497 · NHLBI · UNIVERSITY OF WISCONSIN MILWAUKEE · PI YU, ZEYUN · 2010 to 2010
$364k
NHLBI NIH HHS R15 HL103497NHLBI NIH HHS R15HL103497
6 · The paper itself

Abstract

Spatial-temporal calcium dynamics due to calcium release, buffering, and re-uptaking plays a central role in studying excitation-contraction (E-C) coupling in both healthy and defected cardiac myocytes. In our previous work, partial differential equations (PDEs) had been used to simulate calcium dynamics with realistic geometries extracted from electron microscopic imaging data. However, the computational costs of such simulations are very high on a single processor. To alleviate this problem, we have accelerated the numerical simulations of calcium dynamics by using graphics processing units (GPUs). Computational performance and simulation accuracy are compared with those based on a single CPU and another popular parallel computing technique, OpenMP.

Indexed as

AccelerationAlgorithmsCalciumComputational BiologyComputer GraphicsComputer SimulationHumansMicroscopy, ElectronModels, CardiovascularMyocytes, CardiacReproducibility of ResultsSoftwareTime FactorsCalciumcalcium dynamicsCUDAGPUOpenMPparallelPDEs

Identifiers

PMID24212039
PMCPMC3823837

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.