PDDP, A Data Parallel Programming Model

Article type: Research Article

Authors: WARREN, KAREN H.

Affiliations: Lawrence Livermore National Laboratory, Livermore, CA 9455; e-mail: [email protected]

Abstract: PDDP, the parallel data distribution preprocessor, is a data parallel programming model for distributed memory parallel computers. PDDP implements high-performance Fortran-compatible data distribution directives and parallelism expressed by the use of Fortran 90 array syntax, the FORALL statement, and the WHERE construct. Distributed data objects belong to a global name space; other data objects are treated as local and replicated on each processor. PDDP allows the user to program in a shared memory style and generates codes that are portable to a variety of parallel machines. For interprocessor communication, PDDP uses the fastest communication primitives on each platform.

Journal: Scientific Programming, vol. 5, no. 4, pp. 319-327, 1996