Name
Title | ||
|---|---|---|
Improving performance for simulating complex fluids on massively parallel computers by component loop-unrolling and communication hiding |
Abstract | ||
|---|---|---|
Due to the complex geometry and physical models of real-world engineering applications, the parallel performance of the mainstream computational fluid dynamics(CFD) codes is unsatisfactory. For complex fluids, an extra stress tensor governed by constitutive equations including nine components brings much more amount of computations. This paper focused on optimizing the most compute-intensive part ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/HPCC-SmartCity-DSS50907.2020.00017 | 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) |
Keywords | DocType | ISBN |
Fluids,Tensors,Program processors,Computational modeling,Heuristic algorithms,High performance computing,Clustering algorithms | Conference | 978-1-7281-7649-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowei Guo | 1 | 8 | 4.60 |
| Chao Li | 2 | 0 | 0.34 |
| Wei Li | 3 | 0 | 0.34 |
| Yu Cao | 4 | 0 | 0.34 |
| Yi Liu | 5 | 3 | 0.72 |
| Ran Zhao | 6 | 3 | 1.73 |
| Sen Zhang | 7 | 0 | 0.34 |
| Canqun Yang | 8 | 0 | 0.34 |