skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Parallel volume rendering on the IBM Blue Gene/P.

Abstract

Parallel ray casting volume rendering is implemented and tested on an IBM Blue Gene distributed memory parallel architecture. Data are presented from experiments under a number of different conditions, including dataset size, number of processors, low and high quality rendering, offline storage of results, and streaming of images for remote display. Performance is divided into three main sections of the algorithm: disk I/O, rendering, and compositing. The dynamic balance between these tasks varies with the number of processors and other conditions. Lessons learned from the work include understanding the balance between parallel I/O, computation, and communication within the context of visualization on supercomputers, recommendations for tuning and optimization, and opportunities for scaling further in the future. Extrapolating these results to very large data and image sizes suggests that a distributed memory HPC architecture such as the Blue Gene is a viable platform for some types of visualization at very large scales.

Authors:
; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
982342
Report Number(s):
ANL/MCS/CP-60807
Journal ID: 1727-348X; TRN: US201013%%1020
DOE Contract Number:  
DE-AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Conference: Eurographics Symposium on Parallel Graphics and Visualization (EGPGV '08); Apr. 14, 2008 - Apr. 15, 2008; Crete, Greece
Country of Publication:
United States
Language:
ENGLISH
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARCHITECTURE; BALANCES; CASTING; COMMUNICATIONS; DATA; DYNAMICS; GENES; IMAGES; OPTIMIZATION; PERFORMANCE; RECOMMENDATIONS; SCALING; SIZE; STORAGE; SUPERCOMPUTERS; TUNING; VOLUME

Citation Formats

Peterka, T, Yu, H, Ross, R, Ma, K -L, Mathematics and Computer Science, and Univ. of California at Davis. Parallel volume rendering on the IBM Blue Gene/P.. United States: N. p., 2008. Web.
Peterka, T, Yu, H, Ross, R, Ma, K -L, Mathematics and Computer Science, & Univ. of California at Davis. Parallel volume rendering on the IBM Blue Gene/P.. United States.
Peterka, T, Yu, H, Ross, R, Ma, K -L, Mathematics and Computer Science, and Univ. of California at Davis. Tue . "Parallel volume rendering on the IBM Blue Gene/P.". United States.
@article{osti_982342,
title = {Parallel volume rendering on the IBM Blue Gene/P.},
author = {Peterka, T and Yu, H and Ross, R and Ma, K -L and Mathematics and Computer Science and Univ. of California at Davis},
abstractNote = {Parallel ray casting volume rendering is implemented and tested on an IBM Blue Gene distributed memory parallel architecture. Data are presented from experiments under a number of different conditions, including dataset size, number of processors, low and high quality rendering, offline storage of results, and streaming of images for remote display. Performance is divided into three main sections of the algorithm: disk I/O, rendering, and compositing. The dynamic balance between these tasks varies with the number of processors and other conditions. Lessons learned from the work include understanding the balance between parallel I/O, computation, and communication within the context of visualization on supercomputers, recommendations for tuning and optimization, and opportunities for scaling further in the future. Extrapolating these results to very large data and image sizes suggests that a distributed memory HPC architecture such as the Blue Gene is a viable platform for some types of visualization at very large scales.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {1}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: