State‐of‐the‐Art in GPU‐Based Large‐Scale Volume Visualization. (13th May 2015)
- Record Type:
- Journal Article
- Title:
- State‐of‐the‐Art in GPU‐Based Large‐Scale Volume Visualization. (13th May 2015)
- Main Title:
- State‐of‐the‐Art in GPU‐Based Large‐Scale Volume Visualization
- Authors:
- Beyer, Johanna
Hadwiger, Markus
Pfister, Hanspeter - Abstract:
- 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. 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 parallelAbstract : 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. 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. … (more)
- Is Part Of:
- Computer graphics forum. Volume 34:Number 8(2015)
- Journal:
- Computer graphics forum
- Issue:
- Volume 34:Number 8(2015)
- Issue Display:
- Volume 34, Issue 8 (2015)
- Year:
- 2015
- Volume:
- 34
- Issue:
- 8
- Issue Sort Value:
- 2015-0034-0008-0000
- Page Start:
- 13
- Page End:
- 37
- Publication Date:
- 2015-05-13
- Subjects:
- STAR -- volume rendering -- ray‐guided -- large data -- GPU -- I.3.6 [Computer Graphics]: Methodology and Techniques—I.3.3 [Computer Graphics]: Picture/Image Generation—Display algorithms
Computer graphics -- Periodicals
006.605 - Journal URLs:
- http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.1982.tb00001.x/abstract ↗
http://onlinelibrary.wiley.com/ ↗
http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=cgf ↗ - DOI:
- 10.1111/cgf.12605 ↗
- Languages:
- English
- ISSNs:
- 0167-7055
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3393.982000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 209.xml