GPU Accelerated Cardiac Electrophysiology
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Summary
A simulator employing a source-to-source translator that converts a higher level python description of a cell model into highly tuned and optimized CUDA source code, which is then compiled with the CUDA C compiler for execution, and demonstrates 23x to 280x speedups across a wide spectrum of cardiac cell models running on the nVidia GTX-295 GPU.
- Type
- article
- Published
- 2010-01-01
- Cited by
- 10
- References
- 52
- Access
- Open access
- OpenAlex
- https://openalex.org/W183598917
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:316339
Keywords
Computer science, Parallel computing, CUDA, Python (programming language), Computational science
References
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- Current progress in patient-specific modeling
- Reconstruction of the action potential of ventricular myocardial fibres
- A Study of Replacement Algorithms for Virtual-Storage Computer
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- Impulses and Physiological States in Theoretical Models of Nerve Membrane.
- A simple two-variable model of cardiac excitation
- Model study of ATP and ADP buffering, transport of Ca(2+) and Mg(2+), and regulation of ion pumps in ventricular myocyte.
- Models of cardiac cell
- A comparison of non-standard solvers for ODEs describing cellular reactions in the heart
- An integrative model of the cardiac ventricular myocyte incorporating local control of Ca2+ release.
- Introduction to the Cell multiprocessor
- A Novel Computational Model of the Human Ventricular Action Potential and Ca Transient
- Benchmarking GPUs to tune dense linear algebra
- Coupling of adjacent tropomyosins enhances cross-bridge-mediated cooperative activation in a markov model of the cardiac thin filament.
- A collocation-Galerkin finite element model of cardiac action potential propagation
- OSKI: A library of automatically tuned sparse matrix kernels
- A Survey of General‐Purpose Computation on Graphics Hardware
Cited by
- An assessment of numerical methods for cardiac simulation
- Random Forests for CUDA GPUs
- GPU Acceleration of Optical Mapping Algorithm for Cardiac Electrophysiology
- Toward real-time simulation of cardiac dynamics
- Patient-Specific Modeling of Dyssynchronous Heart Failure: A Case Study
- High-order finite element methods for cardiac monodomain simulations
- GPU accelerated solver for nonlinear reaction-diffusion systems. Application to the electrophysiology problem
- Extending the Gotran framework: LaTeX and GPU acceleration
- GPU implementation of restricted Boltzmann machines with application to view classification in sports videos
- Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling
- A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling
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