Parallel programming model

Parallel programming model

A parallel programming model is a set of software technologies to express parallel algorithms and match applications with the underlying parallel systems. It encloses the areas of applications, programming languages, compilers, libraries, communications systems, and parallel I/O. Due to the difficulties in automatic parallelization today, people have to choose a proper parallel programming model or a form of mixture of them to develop their parallel applications on a particular platform.

Parallel models are implemented in several ways: as libraries invoked from traditional sequential languages, as language extensions, or complete new execution models. They are also roughly categorized for two kinds of systems: shared-memory system and distributed-memory system, though the lines between them are largely blurred nowadays.

A programming model is usually judged by its expressibility and simplicity, which are by all means conflicting factors. The ultimate goal is to improve productivity of programming.

Example parallel programming models

Libraries
* POSIX Threads
* MPI
* SHMEM
* PVM
* TBBLanguages
* Ada
* Cilk
* Charm++
* Partitioned global address space languages:
** UPC,
** Co-array Fortran,
** Titanium
* HPF
* Occam
* Ease
* Erlang
* Linda coordination language
* Oz
* CUDA
* OpenCL

Unsorted

* OpenMP
* Global Arrays
* Intel Ct
* Pervasive DataRush
* ProActive
* Parallel Random Access Machine
* Stream processing
* Structural Object Programming Model (SOPM)
* Pipelining
* ZPL

Other research-level models are:
* Cray's Chapel,
* Sun’s Fortress
* IBM’s X10

References

* H. Shan and J. Pal Singh. A comparison of MPI, SHMEM, and Cache-Coherent Shared Address Space Programming Models on a Tightly-Coupled Multiprocessor. International Journal of Parallel Programming, 29(3), 2001.
* H. Shan and J. Pal Singh. Comparison of Three Programming Models for Adaptive Applications on the Origin 2000. Journal of Parallel and Distributed Computing, 62:241–266, 2002.
* About structured parallel programming: Davide Pasetto and Marco Vanneschi. " [http://portal.acm.org/citation.cfm?id=898142&coll=&dl=GUIDE&CFID=15151515&CFTOKEN=6184618 Machine independent Analytical models for cost evaluation of template--based programs] ", University of Pisa, 1996

ee also

Automatic parallelization


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