Massively parallel software rendering for visualizing large-scale data sets

Kwan-Liu Ma; Steven Parker

doi:10.1109/38.933526

Massively parallel software rendering for visualizing large-scale data sets

Kwan-Liu Ma, Steven Parker

Computer Science

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

Two different algorithms for rendering large-scale data sets on a parallel machine are described. The first algorithm is designed for distributed-memory parallel architectures to render unstructured-grid volume data. The second one is designed for shared-memory parallel architectures to directly render isosurfaces. For large data sets and smaller images, the ray-tracing method can outperform high-end graphics hardware.

Original language	English (US)
Pages (from-to)	72-83
Number of pages	12
Journal	IEEE Computer Graphics and Applications
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/38.933526
State	Published - Jul 1 2001

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/38.933526

Cite this

@article{c96f246cfe844f7091b188f131e32ecd,

title = "Massively parallel software rendering for visualizing large-scale data sets",

abstract = "Two different algorithms for rendering large-scale data sets on a parallel machine are described. The first algorithm is designed for distributed-memory parallel architectures to render unstructured-grid volume data. The second one is designed for shared-memory parallel architectures to directly render isosurfaces. For large data sets and smaller images, the ray-tracing method can outperform high-end graphics hardware.",

author = "Kwan-Liu Ma and Steven Parker",

year = "2001",

month = jul,

day = "1",

doi = "10.1109/38.933526",

language = "English (US)",

volume = "21",

pages = "72--83",

journal = "IEEE Computer Graphics and Applications",

issn = "0272-1716",

publisher = "IEEE Computer Society",

number = "4",

}

TY - JOUR

T1 - Massively parallel software rendering for visualizing large-scale data sets

AU - Ma, Kwan-Liu

AU - Parker, Steven

PY - 2001/7/1

Y1 - 2001/7/1

N2 - Two different algorithms for rendering large-scale data sets on a parallel machine are described. The first algorithm is designed for distributed-memory parallel architectures to render unstructured-grid volume data. The second one is designed for shared-memory parallel architectures to directly render isosurfaces. For large data sets and smaller images, the ray-tracing method can outperform high-end graphics hardware.

AB - Two different algorithms for rendering large-scale data sets on a parallel machine are described. The first algorithm is designed for distributed-memory parallel architectures to render unstructured-grid volume data. The second one is designed for shared-memory parallel architectures to directly render isosurfaces. For large data sets and smaller images, the ray-tracing method can outperform high-end graphics hardware.

UR - http://www.scopus.com/inward/record.url?scp=0035396759&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035396759&partnerID=8YFLogxK

U2 - 10.1109/38.933526

DO - 10.1109/38.933526

M3 - Article

AN - SCOPUS:0035396759

VL - 21

SP - 72

EP - 83

JO - IEEE Computer Graphics and Applications

JF - IEEE Computer Graphics and Applications

SN - 0272-1716

IS - 4

ER -

Massively parallel software rendering for visualizing large-scale data sets

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this