• norsk
    • English
  • norsk 
    • norsk
    • English
  • Logg inn
Vis innførsel 
  •   Hjem
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for elektroniske systemer
  • Vis innførsel
  •   Hjem
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for elektroniske systemer
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Programming graphic card for fast calculation of sound field in marine acoustics

Haugehåtveit, Olav
Master thesis
Thumbnail
Åpne
1151_FULLTEXT.pdf (2.548Mb)
1151_ATTACHMENT.zip (37.48Mb)
1151_COVER.pdf (296.9Kb)
Permanent lenke
http://hdl.handle.net/11250/2571107
Utgivelsesdato
2006
Metadata
Vis full innførsel
Samlinger
  • Institutt for elektroniske systemer [1555]
Sammendrag
Commodity computer graphics chips are probably today’s most powerful computational hardware

one can buy for money. These chips, known generically as Graphics Processing Units

or GPUs, has in recent years evolved from afterthought peripherals to modern, powerful programmable

processor. Due to the movie and game industry we are where we are to today.

One of Intel’s co-founder Gordon E. Moore said once that the number of transistors on a

single integrated chip was to double every 18 month. So far this seems to be correct for the

CPU. However for the GPU the development has gone much faster, and the floating point

operations per second has increased enormously.

Due to this rapid evolvement many researchers and scientists has discovered the enormous

floating point potential can be taken advantage of, and a numerous applications has been

tested such as audio and image algorithms. Also in the area of marine acoustics this has

become interesting, where the demand for high computational power is increasing.

This master report investigates how to make a program capable to run on a GPU for calculating

an underwater sound field. To do this a graphics chips with programmable vertex and

fragment processor is necessary. Programming this will require graphics API like OpenGL,

a shading language like GLSL, and a general purpose GPU library like Shallows. A written

program in Matlab is the basic for the GPU program. The goal is to reduce calculation time

spent to calculate a underwater sound field.

From this the increment from Matlab to GPU was found to be around 40-50 times. However

if Matlab was able to calculate the same number of rays as maximum on the GPU, the

increment would probably be bigger. Since this study was done on a laptop with nVidia

GeForce Go 6600 graphics chip, a higher gain would theoretically be obtainable by a desktop

graphics chip.
Utgiver
NTNU

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit
 

 

Bla i

Hele arkivetDelarkiv og samlingerUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifterDenne samlingenUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifter

Min side

Logg inn

Statistikk

Besøksstatistikk

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit