LINUX Cluster Possibilities in 3-D PHOTO Quality Imaging and Animation

Authors: Arjun Jain, Himanshu Agrawal, Nalini Vasudevan

Abstract:

In this paper we present the PC cluster built at R.V. College of Engineering (with great help from the Department of Computer Science and Electrical Engineering). The structure of the cluster is described and the performance is evaluated by rendering of complex 3D Persistence of Vision (POV) images by the Ray-Tracing algorithm. Here, we propose an unexampled method to render such images, distributedly on a low cost scalable.

Keywords: PC cluster, parallel computations, ray tracing, persistence of vision, rendering.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335168

References:

[1] Al Geist, Adam Beguelin, Jack Dongarra, Robert Manchek, Weicheng Jiang and Vaidy Sunderam, PVM: Parallel Virtual Machine - A Users Guide and Tutorial for Networked Parallel Computing, MIT Press. Available at http://www.netlib.org/.
[2] Marc Snir, Steve Otto, Steven Huss-Lederman, David Waker and Jack Dongarra, MPI: The Complete Reference, MIT Press. Available at http://www.netlib.org/.
[3] Clay Breshears and Asim YarKhan, Joint Institute of Computational Science, University of Tennessee, USA. www-jics.cs.utk.edu/PVM/pvm/ guide.html, A Beginner s Guide to PVM Parallel Virtual Machine.
[4] Emily Angerer Crawford, Information Technology, High Performance Computing, www.hpc.gatech.edu/seminar/pvm.html, \it PVM: An Introduction to Parallel Virtual Machine.
[5] http://clusters.top500.org/db.