Revisiting Parallel Rendering for Shared Memory Machines

Nouanesengsy, Boonthanome; Ahrens, James; Woodring, Jonathan; Shen, Han-Wei

Revisiting Parallel Rendering for Shared Memory Machines

Files

031-040.pdf (1.22 MB)

Date

2011

Authors

Nouanesengsy, Boonthanome
Ahrens, James
Woodring, Jonathan
Shen, Han-Wei

Publisher

The Eurographics Association

Abstract

Increasing the core count of CPUs to increase computational performance has been a significant trend for the better part of a decade. This has led to an unprecedented availability of large shared memory machines. Programming paradigms and systems are shifting to take advantage of this architectural change, so that intra-node parallelism can be fully utilized. Algorithms designed for parallel execution on distributed systems will also need to be modified to scale in these new shared and hybrid memory systems. In this paper, we reinvestigate parallel rendering algorithms with the goal of finding one that achieves favorable performance in this new environment.We test and analyze various methods, including sort-first, sort-last, and a hybrid scheme, to find an optimal parallel algorithm that maximizes shared memory performance.

        @inproceedings{:10.2312/EGPGV/EGPGV11/031-040
,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization
},
editor = {Torsten Kuhlen and Renato Pajarola and Kun Zhou
},
title = {{Revisiting Parallel Rendering for Shared Memory Machines
}},
author = {Nouanesengsy, Boonthanome and 
Ahrens, James and 
Woodring, Jonathan and 
Shen, Han-Wei
},
year = {2011
},
publisher = {The Eurographics Association
},
ISSN = {1727-348X
},
ISBN = {978-3-905674-32-3
},
DOI = {/10.2312/EGPGV/EGPGV11/031-040
}
}