Title :
Parallel programming with message passing and directives
Author :
Bova, Steve W. ; Breshears, Clay P. ; Gabb, Henry ; Kuhn, Bob ; Magro, Bill ; Eigenmann, Rudolf ; Gaertner, Greg ; Salvini, Stefano ; Scott, Howard
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
The authors discuss methods for expressing and tuning the performance of parallel programs, using two programming models in the same program: distributed and shared memory. Such methods are important for anyone who uses these large machines for parallel programs as well as for those who study combinations of the two programming models. The article outlines applications in hydrology, computational chemistry, general science, seismic processing, aeronautics, and computational physics. Emphasizing both I/O and computation, they apply several numerical methods including finite element analysis, wave equation integration, linear algebra subroutines, fast Fourier transforms (FFTs), filters, and a variety of PDEs (partial differential equations) and ODEs (ordinary differential equations)
Keywords :
distributed memory systems; engineering computing; message passing; natural sciences computing; numerical analysis; parallel programming; shared memory systems; FFTs; ODEs; PDEs; aeronautics; computational chemistry; computational physics; directives; distributed memory; fast Fourier transforms; filters; finite element analysis; general science; hydrology; large machines; linear algebra subroutines; message passing; numerical methods; ordinary differential equations; parallel programming; parallel programs; partial differential equations; programming models; seismic processing; shared memory; wave equation integration; Chemistry; Computer applications; Finite element methods; Hydrology; Linear algebra; Message passing; Parallel programming; Partial differential equations; Physics computing; Science - general;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/5992.947105
