A massively parallel computational electrophysiology model of the heart
This paper presents a patient‐sensitive simulation strategy capable of using the most efficient way the high‐performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists,...
Uloženo v:
| Vydáno v: | International journal for numerical methods in biomedical engineering Ročník 27; číslo 12; s. 1911 - 1929 |
|---|---|
| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Chichester, UK
John Wiley & Sons, Ltd
01.12.2011
Wiley |
| Témata: | |
| ISSN: | 2040-7939, 2040-7947, 2040-7947 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | This paper presents a patient‐sensitive simulation strategy capable of using the most efficient way the high‐performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists, each one mastering its own expertise area within the project. This paper describes the general integrative scheme but focusing on the CMS side presents a massively parallel implementation of computational electrophysiology applied to cardiac tissue simulation. The paper covers different angles of the computational problem: equations, numerical issues, the algorithm and parallel implementation. The proposed methodology is illustrated with numerical simulations testing all the different possibilities, ranging from small domains up to very large ones. A key issue is the almost ideal scalability not only for large and complex problems but also for medium‐size meshes. The explicit formulation is particularly well suited for solving this highly transient problems, with very short time‐scale. Copyright © 2011 John Wiley & Sons, Ltd. |
|---|---|
| Bibliografie: | istex:4EF1727E286850601AC958B301816383DBA0C86E ark:/67375/WNG-WX6G3LGM-L ArticleID:CNM1443 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 2040-7939 2040-7947 2040-7947 |
| DOI: | 10.1002/cnm.1443 |