ArticleIEEE transactions on bio-medical engineering2012
Accelerating cardiac bidomain simulations using graphics processing units.
Article in IEEE transactions on bio-medical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- A physics-informed eikonal model for simulating arrhythmias in the human heart in real-time.Nature communications · 2026Article
- An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias.Medical image analysis · 2022Article
- An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics.Mathematics (Basel, Switzerland) · 2022Article
- Resource-Efficient Use of Modern Processor Architectures For Numerically Solving Cardiac Ionic Cell Models.Frontiers in physiology · 2022Article
- A memory optimization method combined with adaptive time-step method for cardiac cell simulation based on multi-GPU.Medical & biological engineering & computing · 2020Article
- Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- The impact of wall thickness and curvature on wall stress in patient-specific electromechanical models of the left atrium.Biomechanics and modeling in mechanobiology · 2020Article
- A Lead Field Two-Domain Model for Longitudinal Neural Tracts-Analytical Framework and Implications for Signal Bandwidth.Computational and mathematical methods in medicine · 2020Article
- Factors Promoting Conduction Slowing as Substrates for Block and Reentry in Infarcted Hearts.Biophysical journal · 2019Article
- Large-scale Interactive Numerical Experiments of Chaos, Solitons and Fractals in Real Time via GPU in a Web Browser.Chaos, solitons, and fractals · 2019Article
- Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis.International journal for numerical methods in biomedical engineering · 2018Article
- Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.Frontiers in physiology · 2018Article
- Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.Frontiers in physiology · 2018Article
- Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.Journal of computational physics · 2017Article
- Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation.Journal of computational physics · 2016Article
- Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling.Annals of biomedical engineering · 2016Article
- Deranged sodium to sudden death.The Journal of physiology · 2015Review
- Parallel Optimization of 3D Cardiac Electrophysiological Model Using GPU.Computational and mathematical methods in medicine · 2015Article
- OpenCOR: a modular and interoperable approach to computational biology.Frontiers in physiology · 2015Article
- An efficient finite element approach for modeling fibrotic clefts in the heart.IEEE transactions on bio-medical engineering · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Anatomically realistic and biophysically detailed multiscale computer models of the heart are playing an increasingly important role in advancing our understanding of integrated cardiac function in health and disease. Such detailed simulations, however, are computationally vastly demanding, which is a limiting factor for a wider adoption of in-silico modeling. While current trends in high-performance computing (HPC) hardware promise to alleviate this problem, exploiting the potential of such architectures remains challenging since strongly scalable algorithms are necessitated to reduce execution times. Alternatively, acceleration technologies such as graphics processing units (GPUs) are being considered. While the potential of GPUs has been demonstrated in various applications, benefits in the context of bidomain simulations where large sparse linear systems have to be solved in parallel with advanced numerical techniques are less clear. In this study, the feasibility of multi-GPU bidomain simulations is demonstrated by running strong scalability benchmarks using a state-of-the-art model of rabbit ventricles. The model is spatially discretized using the finite element methods (FEM) on fully unstructured grids. The GPU code is directly derived from a large pre-existing code, the Cardiac Arrhythmia Research Package (CARP), with very minor perturbation of the code base. Overall, bidomain simulations were sped up by a factor of 11.8 to 16.3 in benchmarks running on 6-20 GPUs compared to the same number of CPU cores. To match the fastest GPU simulation which engaged 20 GPUs, 476 CPU cores were required on a national supercomputing facility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.