Hybrid Parallel Programming Technique on a Finite Element Code

HUGO G. CASTRO; RODRIGO R. PAZ; MARIO A. STORTI; VICTORIO SONZOGNI; LISANDRO D. DALCÍN

Rosario, Santa Fe

Congreso; II Congreso de Matemática Aplicada, Computacional e Industrial - MACI 2009; 2009

Asociación Argentina de Matemática Aplicada, Computacional e Industrial

The so called “hybrid parallelism paradigm”, that combines programming techniques for architectures with distributed and shared memories using MPI (’Message Passing Interface’) and OpenMP (’Open Multi-Processing’) standards, is currently adopted to exploit the growing use of multicore computers in PC’s clusters, thus improving the efficiency of codes in such architectures (several multicore nodes or clustered symmetric multiprocessors (SMP)connected by a fast net to do exhaustive computations). On the other hand, PETSc is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations, implementing MPI standard and widely used in parallel finite element codes development. In this paper a parallel hybrid finite element code is developed and its performance evaluated, using MPI/PETSc for communication between nodes and OpenMP for parallelism within an SMP node. The cluster in which the code was run was the CIMEC’s ’Coyote’ cluster, which consists of 8 nodes with 8 cores each, connected through a Fast Ethernet net of 1Gb/sec.