The primary focus of the current research concerns three different parallelization implementation methods of a widely used semi-implicit non-equilibrium chemically reactive Euler equation solver on a vector parallel processor (VPP) computer. The main objective is to reduce the relative cost of the convection term calculation and the chemical term computation, and also to optimize the global cost of the numerical simulation by a parallel implementation. Three different data-parallel methods - two methods based on the domain decomposition method (DDM) and one based on the multiblock structured algorithm (MSA) - are outlined. The characteristics of the three methods are commented on, such as the vectorization index, data communication process and parallel I/O. The approaches of the current practical research provide insight into important issues of parallel computing for common applications. Finally, a summary of the parallelization strategy is presented and conclusions are drawn.
Evaluation and strategy of different data parallel implementation methods of a stiff chemical non-equilibrium flow solver
Parallel Computing ; 26 , 6 ; 791-804
2000
14 Seiten, 13 Quellen
Aufsatz (Zeitschrift)
Englisch