Skip to main content
Log in

CUBLAS-aided Long Vector Algorithms

  • Published:
Journal of Mathematical Modelling and Algorithms in Operations Research

Abstract

The paper propose vector methods that allow you to use GPU-processors more rationally. The approach is based on using long vectors of arguments instead of short matrix rows. Efficiency of the method is verified by comparisons with a library OpenCurrent.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wahl, P., Dany, S., Gagnon, L., Debaes, C., Miller, D., Thienpont, H.: B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics. Opt. Quant. Electron. 44, 285–290 (2012)

    Article  Google Scholar 

  2. EM Photonics Inc.: FastFDTD http://67.59.132.121/products/fastfdtd. Accessed 20 Oct 2014 (2008)

  3. Cohen, J.: OpenCurrent is an open source C ++library for solving Partial Differential Equations (PDEs) over regular grids using the CUDA platform from NVIDIA https://code.google.com/p/opencurrent/wiki/OpenCurrent. Accessed 20 Oct 2014 (2010)

  4. Ortega, J.: Introduction to Parallel and Vector Solution of Linear Systems. Plenum Press, New York (1987)

    Google Scholar 

  5. Golub, G.H., Van Loan, C.F.: Matrix Computations. JHU Press, Baltimore (1996)

    MATH  Google Scholar 

  6. Golovashkin, D.L., Vorotnokova, D.G., Kochurov, A.V., Malysheva, S.A.: Solving finite-difference equations for diffractive optics problems using graphics processing units. Opt. Eng. 52 (9) (2013). doi:10.1117/1.OE.52.9.091719

  7. Golovashkin, D.L., Kochurov, A.V.: Pyramid method for GPU-aided nite dierence method. CMMSE-2013, 746–756 (2013)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. G. Vorotnikova.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vorotnikova, D.G., Golovashkin, D.L. CUBLAS-aided Long Vector Algorithms. J Math Model Algor 13, 425–431 (2014). https://doi.org/10.1007/s10852-014-9267-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10852-014-9267-7

Keywords

Mathematics Subject Classification (2010)

Navigation