An Approach For Parallel and Distributed Computing

Naazish Rahim, Nikita Sharma,Sudha Tiwari, Ashik hussain


Decrease in hardware costs and advances in computer networking technologies have led to increased interest in the use of largescale
parallel and distributed computing systems. One of the biggest issues in such systems is the development of effective
techniques/algorithms for the distribution of the processes/load of a parallel program on multiple hosts to achieve goal(s) such as
minimizing execution time, minimizing communication delays, maximizing resource utilization and maximizing throughput. The interprocess
communication amongst the various processes during the computation is the major factor for the high speed distributed computing.
In this paper, the performance of the most common several parallel processing tools are discussed and compared. PVM is a software
infrastructure that emulates a generalized distributed memory in heterogeneous networked environments. Now parallel MATLAB is most
widely used computing environment in the distributed parallel computing. Parallel and Distributed computing techniques have proved to be
effective in tackling the problem with high computational complexity in a wide range of domains, including areas of computational

Keywords: Distributed Computing, Parallel, shared memory, distributed memory)

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