Skip to main content
  • 440 Accesses

Abstract

While graphics accelerator boards are traditionally built for the gaming industry, nowadays these devices are usable for general computing tasks as well. GPUs are specialized for compute-intensive, highly parallel computations. In contrast to standard multi- or many-core architectures much more transistors are implemented for data processing rather than data caching and flow control. Hence, it is very appealing to use these architectures as acceleration platform for high-performance computing tasks in medical devices.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH

About this chapter

Cite this chapter

Scherl, H. (2011). Graphics Accelerator Boards. In: Evaluation of State-of-the-Art Hardware Architectures for Fast Cone-Beam CT Reconstruction. Vieweg+Teubner. https://doi.org/10.1007/978-3-8348-8259-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-8348-8259-2_6

  • Publisher Name: Vieweg+Teubner

  • Print ISBN: 978-3-8348-1743-3

  • Online ISBN: 978-3-8348-8259-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics