| Authors | X. Cai |
| Title | Use of modern processor architectures for computing the electrical activity in the heart |
| Afilliation | Scientific Computing |
| Project(s) | Department of High Performance Computing , Meeting Exascale Computing with Source-to-Source Compilers |
| Status | Published |
| Publication Type | Talks, invited |
| Year of Publication | 2019 |
| Location of Talk | Schlumberger Eureka Applied Math Special Interest Group Meeting |
| Type of Talk | Invited guest talk |
| Abstract | Recent advances in the mathematical models of electro-cardiology have prompted new requirements for computation. The computational challenges span from a detailed simulation of subcellular calcium handling, through a proper cell-tissue coupling, to a whole heart modeled on an unstructured computational mesh. The sheer size of the computation often can only be satisfied by cutting-edge computer clusters, where the main computing power is provided by non-conventional processors (also called accelerators), such as GPUs or many core processors. In this talk, we discuss the related issues of programming and performance engineering. The particular topics include CPU-accelerator computing, memory traffic minimization, and code vectorization. |
| Citation Key | 27738 |
