Name
Title | ||
|---|---|---|
Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification |
Abstract | ||
|---|---|---|
We present a numerical solver for the fast conduction system in the heart using both a CPU and a hybrid CPU/GPU implementation. To verify both implementations, we construct analytical solutions and show that the L-2-error is similar in both implementations and decreases linearly with the spatial step size. Finally, we test the performance of the implementations with networks of varying complexity, where the hybrid implementation is, on average, 5.8 times faster. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-20309-6_49 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Computer science,Parallel computing,Implementation,Solver,Cable theory | Conference | 9126 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.40 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Lange | 1 | 6 | 1.27 |
| Simone Palamara | 2 | 14 | 1.87 |
| Toni Lassila | 3 | 12 | 3.56 |
| Christian Vergara | 4 | 20 | 2.34 |
| Alfio Quarteroni | 5 | 341 | 44.82 |
| Alejandro F. Frangi | 6 | 4333 | 309.21 |