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

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

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

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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.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Maciej Wielgosz, Ernest Jamro & Kazimierz Wiatr

  2. ACK Cyfronet AGH, ul. Nawojki 11, 30-950, Krakow

    Maciej Wielgosz, Ernest Jamro & Kazimierz Wiatr

Authors
  1. Maciej Wielgosz
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  2. Ernest Jamro
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  3. Kazimierz Wiatr
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Editor information

Editors and Affiliations

  1. Institut für Technik der Informationsverarbeitung (ITIV), Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Jürgen Becker

  2. ECIT Institute, Queen’s University Belfast, Queen’s Road, Queen’s Island, BT3 9DT, Belfast, UK

    Roger Woods

  3. Bradley Department of Electrical and Electronic Engineering, Virginia Tech, 302 Whittemore (0111), 24061, Blacksburg, VA, USA

    Peter Athanas

  4. Department of Electronic Engineering, National University of Ireland, Galway, Ireland

    Fearghal Morgan

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© 2009 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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