Skip to main content

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7492)

Abstract

In this paper, we implement ACO algorithms on a PC which has 4 GTX 480 GPUs. We implement two types of ACO models; the island model, and the master/slave model. When we compare the island model and the master/slave model, the island model shows promising speedup values on class (iv) QAP instances. On the other hand, the master/slave model showed promising speedup values on both classes (i) and (iv) with large-size QAP instances.

Keywords

  • Quadratic Assignment Problem
  • Thread Block
  • Island Model
  • Single Thread
  • Faster Solution

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (Canada)
  • 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ryoo, S., Rodrigues, C.I., Stone, S.S., Stratton, J.A., Ueng, S.Z., Baghsorkhi, S.S., Mei, W., Hwu, W.: Program optimization carving for GPU computing. J. Parallel Distrib. Comput. 68(10), 1389–1401 (2008)

    CrossRef  Google Scholar 

  2. Bai, H., OuYang, D., Li, X., He, L., Yu, H.: MAX-MIN ant system on GPU with CUDA. In: Innovative Computing, Information and Control, pp. 801–804 (2009)

    Google Scholar 

  3. Fu, J., Zhou, G., Lei, L.: A parallel ant colony optimization algorithm with GPU-acceleration based on all-in-roulette selection. In: Workshop on Advanced Computational Intelligence, pp. 260–264 (2010)

    Google Scholar 

  4. Delévacqa, A., Delislea, P., Gravelb, M., Krajeckia, M.: Parallel ant colony optimization on graphics processing units. Journal of Parallel and Distributed Computing (in press, 2012)

    Google Scholar 

  5. Diego, F., Gómez, E., Ortega-Mier, M., García-Sánchez, Á.: Parallel CUDA architecture for solving de VRP with ACO. In: Industrial Engineering and Industrial Management, pp. 385–393 (2012)

    Google Scholar 

  6. Tsutsui, S., Fujimoto, N.: ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment. In: GECCO 2011, pp. 1547–1554. ACM (2011)

    Google Scholar 

  7. Burkard, R.E., Çela, E., Karisch, S.E., Rendl, F.: QAPLIB - a quadratic assignment problem library (2009), www.seas.upenn.edu/qaplib

  8. Tsutsui, S.: cAS: Ant Colony Optimization with Cunning Ants. In: Runarsson, T.P., Beyer, H.-G., Burke, E.K., Merelo-Guervós, J.J., Whitley, L.D., Yao, X. (eds.) PPSN IX. LNCS, vol. 4193, pp. 162–171. Springer, Heidelberg (2006)

    CrossRef  Google Scholar 

  9. NVIDIA: (2010), developer.download.nvidia.com/compute/cuda/3_2_prod/toolkit/docs/CUDA_C_Programming_Guide.pdf

  10. Taillard, É.: Robust taboo search for quadratic assinment problem. Parallel Computing 17, 443–455 (1991)

    CrossRef  MathSciNet  Google Scholar 

  11. Taillard, É.: Comparison of iterative searches for the quadratic assignment problem. Location Science 3(2), 87–105 (1995)

    CrossRef  MATH  Google Scholar 

  12. Alba, E.: Parallel Metaheuristics: A New Class of Algorithms. John Wiley and Sons (2005)

    Google Scholar 

  13. Cantú-Paz, E.: Efficient and Accurate Parallel Genetic Algorithms. Kuwer Academic Publishers (2000)

    Google Scholar 

  14. Maitre, O., Krüger, F., Querry, S., Lachiche, N., Collet, P.: EASEA: specification and execution of evolutionary algorithms on GPGPU. Soft Comput. 16(2), 261–279 (2012)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tsutsui, S. (2012). ACO on Multiple GPUs with CUDA for Faster Solution of QAPs. In: Coello, C.A.C., Cutello, V., Deb, K., Forrest, S., Nicosia, G., Pavone, M. (eds) Parallel Problem Solving from Nature - PPSN XII. PPSN 2012. Lecture Notes in Computer Science, vol 7492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32964-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32964-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32963-0

  • Online ISBN: 978-3-642-32964-7

  • eBook Packages: Computer ScienceComputer Science (R0)