Name
Abstract | ||
|---|---|---|
We develop a simulator for 3D tissue of the human cardiac ventricle with a physiologically realistic cell model and deploy it on the supercomputer Tianhe-2.In order to attain the full performance of the heterogeneous CPU-Xeon Phi design, we use carefully optimized codes for both devices and combine them to obtain suitable load balancing.Using a large number of nodes, we are able to perform tissue-scale simulations of the electrical activity and calcium handling in millions of cells, at a level of detail that tracks the states of trillions of ryanodine receptors. We can thus simulate arrythmogenic spiral waves and other complex arrhythmogenic patterns which arise from calcium handling deficiencies in human cardiac ventricle tissue.Due to extensive code tuning and parallelization via OpenMP, MPI, and SCIF/COI, large scale simulations of 10 heartbeats can be performed in a matter of hours. Test results indicate excellent scalability, thus paving the way for detailed whole-heart simulations in future generations of leadership class supercomputers. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICPADS.2016.112 | 2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) |
Field | DocType | ISSN |
Tianhe-2,Supercomputer,Load balancing (computing),Level of detail,Computer science,Xeon Phi,Parallel computing,Symmetric multiprocessor system,Cell model,Scalability | Conference | 1521-9097 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Langguth | 1 | 85 | 12.71 |
| Qiang Lan | 2 | 0 | 0.34 |
| Namit Gaur | 3 | 3 | 0.85 |
| Xing Cai | 4 | 36 | 5.78 |
| Mei Wen | 5 | 160 | 33.46 |
| Chunyuan Zhang | 6 | 213 | 43.86 |