Accelerated Numerical Simulations of a Reaction-Diffusion- Advection Model Using Julia-CUDA

The emergence of exascale computing systems presents both opportunities and challenges in scientific computing, particularly for complex mathematical models requiring high-performance implementations. This paper addresses these challenges in the context of biomedical applications, specifically focus...

Full description

Saved in:
Bibliographic Details
Published in:Mathematics (Basel) 2025-05, Vol.13 (9), p.1488
Main Authors: Ciaramella, Angelo, De Angelis, Davide, De Luca, Pasquale, Marcellino, Livia
Format: Article
Language:English
Subjects:
Analysis
Angiogenesis
Applied mathematics
Biomedical engineering
Biomedical materials
Blood vessels
Boundary conditions
Cell cycle
Computation
Differential equations
Extracellular matrix
GPU programming
High performance computing
Julia programming
Mathematical models
Medical research
Memory management
Neovascularization
Numerical analysis
numerical models
Optimization techniques
parallel algorithm
Partial differential equations
Programming languages
Proteases
Simulation
Simulation methods
Technology application
tumor angiogenesis
Tumors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!