Explicit Parallel Computation for Nonlinear Diffuse Equation

In the distributed shared memory cluster system,this paper presents an OpenMP parallel computation method with explicit data distribution for nonlinear diffuse equation. The method partitions the whole data into small blocks,puts the block to the OpenMP thread and transfers data between the thread by using the copies in the shared memory. It designs a global reduction algorithm to reduce the synchronization times. Performance analysis and test results show that this method has well scalability on the distributed shared memory cluster with Intel Xeon quad-cores processors. Parallel speedup relative to 64 is 7.06 on 1 024 cores.