Skip to main content

CUDA Implementation

  • Chapter
  • First Online:
  • 250 Accesses

Part of the book series: Studies in Computational Intelligence ((DSCC,volume 832))

Abstract

In this research, the heterogeneous parallel programming for soft-tissue deformation is developed using the CUDA C language provided by Nvidia. Understanding the device (GPU) memory features is crucial for efficient implementation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joey Sing Yee Tan .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tan, J.S.Y., Sidhu, A.S. (2019). CUDA Implementation. In: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Studies in Computational Intelligence(), vol 832. Springer, Cham. https://doi.org/10.1007/978-3-030-15585-8_5

Download citation

Publish with us

Policies and ethics