Copy Right to GARPH Page 41 “A REVIEW ON PARALLEL PROGRAMMING MODELS IN HIGH PERFORMANCE COMPUTING”

ABSTRACT: There are three main approaches of parallel programming implicit, explicit and systematic. Parallel program is used to high performance computing. Mainly depend on PGAS and hybrid model. Parallel programming used in processor to increase the speed of the computing of processor. They work on GIS Raster and Vector to designed algorithm which uses library GDAL which is based on OGR which is part of GDAL. They are used in parallel computers with multiprocessor and multicore.Role of parallel processing is for increase performance based on MPI.MPI is the combination of Distributed Memory, Shared and Hybrid Memory. Power flow problem found in power system which is solved using openMP and thread based programming which is work on Shared memory programming environment.OpenMP based on Open Threading, Shared Memory and Multicore Techniques. Parallel Computing work on Virtual Reality concept which depend on object. Object have not any deterministic shape and can’t handle using geometric equation for that there is implementation of Convex Hull algorithm. Parallel programming used for to support signal processing algorithm for peak detection. Implementation of PAMM and LC-MS detection algorithm requires Gibbs sampling.Parallel code do speedup but occurs fault tolerance. Simulation and Virtual Reality depends on Vector processing for geometric projection. This paper we have taken different views of parallel programming model availabl