Name
Abstract | ||
|---|---|---|
Through research for the method of serial classic fourth-order Runge-Kutta and based on the method, we construct Parallel fourth-order Runge-Kutta method in this paper, and used in the calculation of differential equation, then under the dual-core parallel, research the Parallel computing speedup and so on. By compared the results of traditional numerical algorithms and parallel numerical algorithms, the results show parallel numerical algorithms have high accuracy and computational efficiency in the dual-core environment. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-25255-6_25 | ICICA (LNCS) |
Keywords | Field | DocType |
parallel computing speedup,serial classic fourth-order,differential equation,parallel fourth-order runge-kutta method,parallel numerical algorithm,computational efficiency,traditional numerical algorithm,dual-core parallel,high accuracy,dual-core environment,parallel computing,differential equations,runge kutta method | Runge–Kutta methods,Differential equation,Fourth order,Computer science,Numerical partial differential equations,Computational science,Numerical stability,Speedup,Cost efficiency | Conference |
Volume | ISSN | Citations |
7030 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunfeng Liu | 1 | 169 | 28.81 |
| Haiming Wu | 2 | 1 | 1.71 |
| Feng Li | 3 | 90 | 21.99 |
| Aimin Yang | 4 | 160 | 25.80 |