Performance estimation of parallel processing techniques on various platforms

As information society changes, the digital world is making more use of larger bulks of data and complex operations that need to be executed. This trend has caused overcoming the processor speed limit issues, by introducing multiple processor systems. In spite of hardware-level parallelism, the software has evolved with various techniques for achieving parallel programs execution. Executing a program in parallel can be efficiently done only if the program code follows certain rules. There are many techniques, which tend to provide variant processing speeds. The aim of this paper is to test the Matlab, OpenMPI and Pthreads methods on a single-processor, multi-processor, GRID and cluster systems and suggest optimal method for that particular system.