This paper is published in Volume-4, Issue-6, 2018
Area
Computer Science Engineering
Author
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi
Org/Univ
VIT Bhopal University, Bhopal, Madhya Pradesh, India
Keywords
Parallel computing, sfCluster , Data cloning, parallel programming
Citations
IEEE
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi. Survey on parallel data cloning and parallel programming, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi (2018). Survey on parallel data cloning and parallel programming. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.
MLA
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi. "Survey on parallel data cloning and parallel programming." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi. Survey on parallel data cloning and parallel programming, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi (2018). Survey on parallel data cloning and parallel programming. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6) www.IJARIIT.com.
MLA
Abhay Nigam, Kartik Bansal, Devdutta Basu, Pranay Kavishwar, P. Sanjeevi. "Survey on parallel data cloning and parallel programming." International Journal of Advance Research, Ideas and Innovations in Technology 4.6 (2018). www.IJARIIT.com.
Abstract
This paper review about parallel data processing and parallel programming a parallel processing is now become extremely famous for improving the speed to process something in the paper we evaluated.1. Different features of parallel computing.2. Parallel programming models.3. And structured parallel programming. We will be also discussing the machine learning and the important area where parallel computing can be useful in enhancing the capabilities of what machine learning can do and the generated models and method of parallel programming. We will be also simulating the advantage of parallel computing by comparing it with existing methods and how Hadoop can help for cluster handling.
