ArticleInterface focus2021
Digital blood in massively parallel CPU/GPU systems for the study of platelet transport.
Article in Interface focus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Digital twins and digital models of the human circulatory system.Nature reviews bioengineering · 2026Article
- Coupled Lattice Boltzmann Modeling Framework for Pore-Scale Fluid Flow and Reactive Transport.ACS omega · 2023Article
- Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning.PLoS computational biology · 2022Article
- Shear induced diffusion of platelets revisited.Frontiers in physiology · 2022Article
- Multi-GPU Immersed Boundary Method Hemodynamics Simulations.Journal of computational science · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a highly versatile computational framework for the simulation of cellular blood flow focusing on extreme performance without compromising accuracy or complexity. The tool couples the lattice Boltzmann solver Palabos for the simulation of blood plasma, a novel finite-element method (FEM) solver for the resolution of deformable blood cells, and an immersed boundary method for the coupling of the two phases. The design of the tool supports hybrid CPU-GPU executions (fluid, fluid-solid interaction on CPUs, deformable bodies on GPUs), and is non-intrusive, as each of the three components can be replaced in a modular way. The FEM-based kernel for solid dynamics outperforms other FEM solvers and its performance is comparable to state-of-the-art mass-spring systems. We perform an exhaustive performance analysis on Piz Daint at the Swiss National Supercomputing Centre and provide case studies focused on platelet transport, implicitly validating the accuracy of our tool. The tests show that this versatile framework combines unprecedented accuracy with massive performance, rendering it suitable for upcoming exascale architectures.
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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.