Skip to main content

HLS Tools for FPGA: Faster Development with Better Performance

  • Conference paper
Reconfigurable Computing: Architectures, Tools and Applications (ARC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6578))

Included in the following conference series:

Abstract

Designing FPGA-based accelerators is a difficult and time-consuming task which can be softened by the emergence of new generations of High Level Synthesis Tools. This paper describes how the ImpulseC C-to-hardware compiler tool has been used to develop efficient hardware for a known genomic sequence alignment algorithms and reports HLL designs performance outperforming traditional hand written optimized HDL implementations.

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.

References

  1. Holland, B., Vacas, M., Aggarwal, V., DeVille, R., Troxel, I., George, A.D.: Survey of C-based application mapping tools for reconfigurable computing. In: Proceedings of the 8th International Conference on Military and Aerospace Programmable Logic Devices (MAPLD 2005), Washington, DC, USA (September 2005)

    Google Scholar 

  2. Lavenier, D., Giraud, M.: Bioinformatics Applications, in Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays. In: Gokhale, M.B., Graham, P.S. (eds.), ch. 9. Springer, Heidelberg (2005)

    Google Scholar 

  3. Pellerin, D., Thibault, S.: Practical FPGA Programming in C. Pearson Education, Inc., Upper Saddle River, NJ (2005)

    Google Scholar 

  4. http://old.xtremedatainc.com/

  5. Aung, L.A., Maskell, D., Oliver, T., Schmidt, B.: C-Based Design Methodology for FPGA Implementation of ClustalW MSA. In: Rajapakse, J.C., Schmidt, B., Volkert, L.G. (eds.) PRIB 2007. LNCS (LNBI), vol. 4774, pp. 11–18. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Oliver, T., Schmidt, B., Nathan, D., Clemens, R., Maskell, D.: Multiple Sequence Alignment on an FPGA. In: Proceedings of 11th International Conference on Parallel and Distributed Systems, July 22-22, vol. 2, pp. 326–330 (2005)

    Google Scholar 

  7. Allred, J., Coyne, J., Lynch, W., Natoli, V., Grecco, J., Morrissette, J.: Smith-Waterman implementation on a FSB-FPGA module using the Intel Accelerator Abstraction Layer. In: International Parallel and Distributed Processing Symposium, pp. 1–4. IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  8. Zhang, P., Tan, G., Gao, G.R.: Implementation of the Smith-Waterman algorithm on a reconfigurable supercomputing platform. In: Proceedings of the 1st International Workshop on High-Performance Reconfigurable Computing Technology and Applications: Held in Conjunction with Sc 2007, HPRCTA 2007, Reno, Nevada, November 11-11, pp. 39–48. ACM, New York (2007)

    Google Scholar 

  9. Yilmaz, C., Gok, M.: An Optimized System for Multiple Sequence Alignment. In: International Conference on Reconfigurable Computing and FPGAs, pp. 178–182. IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  10. Farrar, M.: Striped Smith-Waterman speeds database searches six times over other SIMD implementations. Bioinformatics 23, 15661 (2007); A Smith-Waterman Systolic Cell

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cornu, A., Derrien, S., Lavenier, D. (2011). HLS Tools for FPGA: Faster Development with Better Performance. In: Koch, A., Krishnamurthy, R., McAllister, J., Woods, R., El-Ghazawi, T. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2011. Lecture Notes in Computer Science, vol 6578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19475-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19475-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19474-0

  • Online ISBN: 978-3-642-19475-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics