State-of-the-Art in GPU-Based Large-Scale Volume Visualization

Handle URI:
http://hdl.handle.net/10754/575737
Title:
State-of-the-Art in GPU-Based Large-Scale Volume Visualization
Authors:
Beyer, Johanna; Hadwiger, Markus ( 0000-0003-1239-4871 ) ; Pfister, Hanspeter
Abstract:
This survey gives an overview of the current state of the art in GPU techniques for interactive large-scale volume visualization. Modern techniques in this field have brought about a sea change in how interactive visualization and analysis of giga-, tera- and petabytes of volume data can be enabled on GPUs. In addition to combining the parallel processing power of GPUs with out-of-core methods and data streaming, a major enabler for interactivity is making both the computational and the visualization effort proportional to the amount and resolution of data that is actually visible on screen, i.e. 'output-sensitive' algorithms and system designs. This leads to recent output-sensitive approaches that are 'ray-guided', 'visualization-driven' or 'display-aware'. In this survey, we focus on these characteristics and propose a new categorization of GPU-based large-scale volume visualization techniques based on the notions of actual output-resolution visibility and the current working set of volume bricks-the current subset of data that is minimally required to produce an output image of the desired display resolution. Furthermore, we discuss the differences and similarities of different rendering and data traversal strategies in volume rendering by putting them into a common context-the notion of address translation. For our purposes here, we view parallel (distributed) visualization using clusters as an orthogonal set of techniques that we do not discuss in detail but that can be used in conjunction with what we present in this survey. © 2015 The Eurographics Association and John Wiley & Sons Ltd.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC)
Publisher:
Wiley-Blackwell
Journal:
Computer Graphics Forum
Issue Date:
May-2015
DOI:
10.1111/cgf.12605
Type:
Article
ISSN:
01677055
Appears in Collections:
Articles; Computer Science Program; Computer Science Program; Visual Computing Center (VCC); Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBeyer, Johannaen
dc.contributor.authorHadwiger, Markusen
dc.contributor.authorPfister, Hanspeteren
dc.date.accessioned2015-08-24T08:36:53Zen
dc.date.available2015-08-24T08:36:53Zen
dc.date.issued2015-05en
dc.identifier.issn01677055en
dc.identifier.doi10.1111/cgf.12605en
dc.identifier.urihttp://hdl.handle.net/10754/575737en
dc.description.abstractThis survey gives an overview of the current state of the art in GPU techniques for interactive large-scale volume visualization. Modern techniques in this field have brought about a sea change in how interactive visualization and analysis of giga-, tera- and petabytes of volume data can be enabled on GPUs. In addition to combining the parallel processing power of GPUs with out-of-core methods and data streaming, a major enabler for interactivity is making both the computational and the visualization effort proportional to the amount and resolution of data that is actually visible on screen, i.e. 'output-sensitive' algorithms and system designs. This leads to recent output-sensitive approaches that are 'ray-guided', 'visualization-driven' or 'display-aware'. In this survey, we focus on these characteristics and propose a new categorization of GPU-based large-scale volume visualization techniques based on the notions of actual output-resolution visibility and the current working set of volume bricks-the current subset of data that is minimally required to produce an output image of the desired display resolution. Furthermore, we discuss the differences and similarities of different rendering and data traversal strategies in volume rendering by putting them into a common context-the notion of address translation. For our purposes here, we view parallel (distributed) visualization using clusters as an orthogonal set of techniques that we do not discuss in detail but that can be used in conjunction with what we present in this survey. © 2015 The Eurographics Association and John Wiley & Sons Ltd.en
dc.publisherWiley-Blackwellen
dc.subjectGPUen
dc.subjectI.3.6 [Computer Graphics]: Methodology and Techniques-I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithmsen
dc.subjectLarge dataen
dc.subjectRay-guideden
dc.subjectSTARen
dc.subjectVolume renderingen
dc.titleState-of-the-Art in GPU-Based Large-Scale Volume Visualizationen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalComputer Graphics Forumen
dc.contributor.institutionHarvard University Cambridge, MA USAen
kaust.authorHadwiger, Markusen
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