Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Volume rendering with Marching cubes and async compute
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

With the addition of the compute shader stage for GPGPU hardware it has becomepossible to run CPU like programs on modern GPU hardware. The greatest benefit can be seen for algorithms that are of highly parallel nature and in the case of volume rendering the Marching cubes algorithm makes for a great candidate due to its simplicity and parallel nature. For this thesis the Marching cubes algorithm was implemented on a compute shader and used in a DirectX 12 framework to determine if GPU frametime performance can be improved by executing the compute command queue parallell to the graphics command queue. Results from performance benchmarks show that a gain is present for each benchmarked configuration and the largest gains are seen for smaller workloads with up to 52%. This information could therefore prove useful for game developers who want to improve framerates or decrease development time but also in other fields such as volume rendering for medical images.

Place, publisher, year, edition, pages
2019. , p. 32
Keywords [en]
Volume rendering, async compute, multi-engine
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18315OAI: oai:DiVA.org:bth-18315DiVA, id: diva2:1333439
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGSP Game Programming
Supervisors
Examiners
Available from: 2019-07-25 Created: 2019-07-01 Last updated: 2019-07-25Bibliographically approved

Open Access in DiVA

BTH2019Tlatlik(1583 kB)42 downloads
File information
File name FULLTEXT02.pdfFile size 1583 kBChecksum SHA-512
6e4fe9cec0e2fea6d5732065b57fd3433e3289113d883958310c24f7d89dc9c652b522eb50ab46b996791ae65a3ed7659906f554638c0fc610631f9397cc5128
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Tlatlik, Max Lukas
By organisation
Department of Computer Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 42 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf