Skip to main content

Accelerating Calculations on the RASC Platform: A Case Study of the Exponential Function

  • Conference paper
Reconfigurable Computing: Architectures, Tools and Applications (ARC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5453))

Included in the following conference series:

Abstract

This paper presents results of the tests performed to determine high speed calculations capabilities of the SGI RASC platform. Different data transfer modes and memory management approaches were examined to choose the most effective combination of the Host and RASC memory adjustments. Obtained results of measurements revealed that Direct I/O mode together with DMA transfer provides the highest data throughput between the Host and RASC slice. Nevertheless, for some application multi-buffering may appear to be more suitable in terms of concurrent data transfer capabilities and FPGA algorithm execution. As an example of calculation to be accelerated the exponent function is taken for which computation speed is far beyond data transfer capability of the RASC platform.

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. Silicon Graphics, Inc. Reconfigurable Application-Specific Computing User’s Guide, Ver. 005, SGI (January 2007)

    Google Scholar 

  2. Giles, M.: GPU’s - the next big advance in HPC? In: Reconfigurable Supercomputing Conference (MRSC), Oxford University, Belfast, Northern Ireland, April 1-3 (2008)

    Google Scholar 

  3. Mazur, G., Makowski, M.: Development and Optimization of Computational Chemistry Algorithms. In: KDM 2008, Zakopane, Poland (March 2008)

    Google Scholar 

  4. Wielgosz, M., Jamro, E., Wiatr, K.: Highly Efficient Structure of 64-Bit Exponential Function Implemented in FPGAs. In: Woods, R., Compton, K., Bouganis, C., Diniz, P.C. (eds.) ARC 2008. LNCS, vol. 4943, pp. 274–279. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Mitra, A., Yao, G., Najjar, W.: Performance Analysis of SGI RASC RC100 Blade on 1-D DWT. In: Proceedings of the Third Annual Reconfigurable Systems Summer Institute (RSSI 2007), USA, Urbana, July 17-20 (2007)

    Google Scholar 

  6. Litke, A.G.: ”‘Turning the Page’”on Hugetlb Interfaces, IBM. In: Proceedings of the Linux Symposium, Ottawa, Ontario Canada, June 27th-30th (2007), agl@us.ibm.com

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wielgosz, M., Jamro, E., Wiatr, K. (2009). Accelerating Calculations on the RASC Platform: A Case Study of the Exponential Function. In: Becker, J., Woods, R., Athanas, P., Morgan, F. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2009. Lecture Notes in Computer Science, vol 5453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00641-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-00641-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00640-1

  • Online ISBN: 978-3-642-00641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics