Title
Load Balancing Methods For Ray Tracing And Binary Tree Computing Using Pvm
Keywords
Binary tree; Distributed environment; Load balancing; PVM; Ray tracing; Workstation cluster
Abstract
We propose efficient load balancing methods for two computational problems namely ray tracing and bottom-up binary tree computing in a distributed environment. In the context of ray tracing, we propose a variant of a static load balancing technique presented in [15] where the sampling is based on partitioning the object space. Our approach partitions the image instead and uses an efficient scheduling technique for load balancing. Computations carried out on a binary tree arise naturally in image processing and network optimization problems. Many of these problems are solved efficiently in parallel by the popular tree contraction technique [1]. In this paper, we explore the tree-contraction technique in a distributed setting using the grain packing method [9]. Implementations of our algorithms on a cluster of workstations using Parallel Virtual Machine (PVM) [6] demonstrate nearperfect load balancing. © 1995.
Publication Date
1-1-1995
Publication Title
Parallel Computing
Volume
21
Issue
12
Number of Pages
1963-1978
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/0167-8191(95)00049-6
Copyright Status
Unknown
Socpus ID
0029518485 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029518485
STARS Citation
Sekharan, Chandra N.; Goel, Vineet; and Sridhar, R., "Load Balancing Methods For Ray Tracing And Binary Tree Computing Using Pvm" (1995). Scopus Export 1990s. 1790.
https://stars.library.ucf.edu/scopus1990/1790